Forem: Testhouse

DevSecOps Benefits & Challenges

Testhouse — Mon, 30 Sep 2024 11:13:09 +0000

Performing AST (Application Security Testing) is a common and effective way to find vulnerabilities and weaknesses in an application and make it resistant to security threats. Traditionally, AST has been performed at the end of the software/application development process, more like an afterthought.

The reason why many software development firms use this technique is to develop a product quickly and push it to the market as soon as possible. While it can be beneficial for a business to stand out from the competition, it’s not the best approach, especially when it comes to security.

That’s where the DevSecOps strategy comes into place. Here, we’ll discuss what DevSecOps is, along with its benefits and challenges.
What Does DevSecOps Mean?
Definition from Google: DevSecOps is a development strategy that’s based on security integration throughout the SDLC (Software Development Life Cycle). The goal of this strategy is to apply, automate, and monitor security in all software development stages, including planning, development, testing, deployment, delivery, and monitoring.

DevSecOps (Development, Security, and Operations) is more about a software development culture and shared accountability/responsibility. It aims to help organizations develop solutions quickly and find and resolve software flaws, weaknesses, and vulnerabilities during the development process.

Benefits Of DevSecOps

Using DevSecOps brings a vast array of benefits to the table, including the following.

Improved Security Posture
The biggest benefit of DevSecOps is that it allows development teams to work in a fully secure environment. From securing pre-production stages and production environments to testing and software delivery, DevSecOps covers everything.

This strategy treats security as an integral part of software development rather than an afterthought or cloak. It starts by following basic security techniques such as integrating enterprise firewalls, adding and monitoring server logs, securing production workloads, and mandating VPN usage by employees.

Quick Delivery
When security is working as an integral part of the CI/CD pipeline, it accelerates the entire process. It allows developers to find bugs and flaws in the system and resolve them timely. This way, the development team can focus on delivering features.

Potential Cost Saving
As the security issues are detected and resolved on the go, it speeds up the development and software delivery process. It means that the DevOps teams will need fewer working hours to complete the project, which can help organizations to save costs.

Plus, the lower likelihood of a security issue can also reduce the number of people in operation teams to thoroughly execute a secure software development life cycle process.

Secure Communication
One of the most important benefits of DevSecOps is that it breaks down silos between development teams. It allows the operational and development teams to join forces and share expertise, skills, and insights to improve each other’s processes and practices.

DevSecOps specialists can communicate with different teams and upskill them regarding security considerations. They use cloud-native technologies, such as encryption and reliable VPN services to ensure security while communicating with other teams.

Benefits of DevSecOps
It helps them clarify and remove different hiccups, such as finding the best-suited person/team to fix a certain problem or how all team members can efficiently meet security targets.

Automation Compatibility with Development
The specific organizational and project goals have a big impact on security automation. Using automated testing helps software development firms verify that all the incorporated software dependencies are patched properly.

Automated testing helps them ensure that security unit testing succeeds. Additionally, it can also use both dynamic and static analysis to secure code before it gets released to production.

DevSecOps automation testing
Ease of Scalability
Once the DevSecOps processes and tools are developed and tested, organizations don’t need to replicate them manually. It comes in handy when entire frameworks need to be placed in other locations or more computing resources are required.

DevSecOps ensure that security is implemented throughout the board as the environment adapts to new requirements. With the help of DevSecOps automation, it becomes easy to scale these security

processes and systems downward/upward with just a few clicks.

Increased Likelihood of Business Success
The increased confidence of an organization in the security of a software solution enables expanded business offerings and increased revenue growth. It also encourages businesses to embrace new technologies without worrying too much about security.

Challenges in DevSecOps

While DevSecOps comes with many benefits, there are some challenges as well that you must keep in mind.

Challenges in DevSecOps
Collaboration and Communication
The security culture of teams in an organization is the biggest hurdle in implementing DevSecOps. The development and operation teams are constantly under pressure to keep up speed. But they usually have limited knowledge about the best practices of risk mitigation and security, which can slow them down.

Whereas, the security teams focus on securing data, infrastructure, code, and apps. As a result, it becomes

difficult for development, security, and operation teams to work together and deliver goals timely.

Environmental Complexities
Most organizations rely on different public cloud services. Using the security protocols, these providers offer, leads to limited visibility, fragmented reporting, and inconsistent security controls.

Meanwhile, development and operation environments usually combine different platforms, open-source components, and coding languages together. Credentials and tokens are openly shared within these environments among microservices and apps.

It makes up a complex environment, and security teams need to utilize granular controls to address these complexities while ensuring that they don’t affect performance.

Selection of the Right Security Solution
The more integrated and automated DevSecOps solutions are with the CI/CD pipeline, the less culture shift and training an organization will need to undertake.

However, it’s not easy to find the right set of DevSecOps security tools because each organization can have a unique development environment.

Additionally, stats show that 70 to 90 per cent of any modern software solution consists of FOSS (Free and Open Source Software). However traditional security tools aren’t built to find security flaws and weaknesses in open-source software.

Measuring and Tracking DevOps Performance with Metrics and KPIs

Testhouse — Wed, 25 Sep 2024 06:30:12 +0000

With digital technologies transforming industries, companies adopt Agile and other practices to gain a competitive advantage. DevOps is one such method that has changed software development as we know it. The new-age approach helps accelerate productivity and also enables better collaboration between the development and operation teams.

However, the biggest benefit of adopting DevOps is faster time-to-market. It has helped around 83% of organizations unlock business value and deliver customer value faster. However, the brutal reality is that not all DevOps initiatives are successful.

Even the most advanced organizations face challenges when it comes to implementing, measuring, and tracking DevOps initiatives. Thankfully, DevOps metrics have helped resolve this problem.

Here are some key metrics to understand what prevents your teams from adopting the DevOps culture.

Top 6 DevOps Metrics You Should Know to Maximize the Impact of Your Initiatives

As companies aim to release software updates frequently, the entire development process needs to be streamlined to eradicate risks and vulnerabilities.

DevOps metrics are KPIs and productivity indicators that help organizations understand where they are going wrong. By leveraging these metrics, organizations can improve their software development and delivery process, strengthen security measures, and ultimately, deliver high-quality products faster.

Let’s review the top DevOps metrics you should consider to accelerate your development process.

Lead Time :
This metric undertakes the time it takes to implement a change from deployment to production. It helps teams to track the efficiency of their processes.
The longer the lead time, the more time and resources it requires to deliver changes to production, resulting in higher costs, longer wait times, and decreased customer satisfaction.
On the other hand, a shorter lead time allows teams to release new features and updates more frequently, leading to faster feedback and more responsive development cycles.

Deployment Frequency :
It is critical to measure how often a team can release new features and out of them how many were successfully perceived. The metric analyzes the number of times a new product version from deployed to production.
Frequent deployments mean changes are being tested and released, making it easier to fix issues quickly. This can lead to higher-quality software and fewer defects.

Mean Time to Recovery (MTTR) :
MTTR is the average time the development team takes to restore a system or service to normalcy after a failure. It helps understand the team’s ability to respond to issues and how long it takes to restore services.
It calculates the total downtime caused by an incident and divides it by the number of incidents occurring during a given period. For example, if an application experiences three incidents during a month and the total downtime for those incidents is six hours, the MTTR would be two hours.

Change Failure Rate :
It is the percentage of deployments that fail. You can calculate it by dividing the number of changes that fail by the total number of changes deployed during a given period. The metric helps in enhancing the system’s reliability and stability. This leads to increased confidence in the team’s ability to deploy changes with minimal disruption for better business outcomes. Measuring and tracking DevOps performance with MTTR
Customer Satisfaction (CSAT) : At the heart of the development process is customer satisfaction. It helps the development team understand how satisfied customers are with a product or service and measure the overall success of a DevOps approach. Calculating CSAT involves gathering data from surveys, feedback forums, and questionnaires and analyzing customer experiences associated with the product or service. CSAT is often regarded as a benchmark against industry standards and competitors and helps teams make informed decisions around product development.

Mean Time Between Failures (MTBF):
MTBF is the average time between system or service failures. This metric estimates the probability of a failure occurring during a specific period and helps to determine maintenance schedules and reliability requirements. A higher MTBF indicates a more reliable product or system, while a lower MTBF indicates reliability issues.

What Can Be Done To Improve Workflows?
Based on the insights from the above metrics, companies can take action to address the workflow. This may involve implementing new tools and processes or streamlining the development and delivery process.

What Can Be Done to Improve DevOps Performance Workflows
Many companies are using Machine learning and low-code automation tools to cut down the time taken for delivery.
On the other hand, companies are also using rigorous testing and quality assurance processes to ensure that defects and vulnerabilities do not slip in. While the improvement scenarios may differ for each company, leaders should encourage teams to utilize DevOps metrics and analytics dashboards for informed decision-making.

It’s Time To Move Toward Agility
At its core, DevOps is all about creating an environment where development, operations, and quality assurance teams share responsibility and accountability. And that’s why it is overwhelming to implement, as it requires a complete culture shift. In addition, DevOps also involves complex technical processes, such as continuous integration and delivery, automated testing, and infrastructure as code, requiring specialized skills and knowledge.
The absolute metrics can help you collect the data, get a sense of the dip in performance from the early stages, and create a solid foundation to mitigate it. Obviously ‘DevOps’ is complex and requires digging deeper. But knowing which metrics to track is a great way to kickstart your DevOps journey.

A Shift Towards Agility and Automation in Software Testing

Testhouse — Wed, 31 Jul 2024 07:07:24 +0000

As someone closely following the evolution of software testing, this year saw the shifts in methodologies and processes. One of the most significant findings is the strong adoption of Agile and DevOps methodologies, reshaping how testing is integrated into the software development lifecycle.

The Rise of Agile and DevOps
Agile methodologies have become the cornerstone of modern software development, with the use of Agile or Agile-like practices such as Scrum, Kanban and XP. This widespread adoption reflects the industry’s move towards more flexible, iterative and collaborative approaches to software development.

DevOps, too, is making significant inroads emphasizing the importance of continuous integration and continuous deployment (CI/CD). This integration is crucial for maintaining quality and speed in software delivery, ensuring that testing is not an isolated phase but a continuous process throughout development.

Increased Involvement in CI/CD
One of the most encouraging trends I’ve noticed is the increased involvement of testers in CI/CD processes. It allows testers to influence the automation and integration processes, ensuring that quality is built into every stage of development.

However, there is still room for improvement.

Despite the growing adoption of automation, it has not yet fully replaced manual testing. Only 2-3% of organizations report that automation has completely taken over manual efforts. This indicates that while automation is valuable, it is not a silver bullet and must be complemented by manual testing to ensure comprehensive coverage.

The Need for Reskilling
Not many are confident in writing automation scripts. This gap underscores the urgent need for reskilling and upskilling within the testing community. As automation continues to grow, testers must equip themselves with the necessary skills to remain competitive and valuable in the industry.

Improving Test Case Quality
Test case quality is another critical area that requires attention. Many organizations struggle with well-written and maintained test cases. Many face issues such as duplication and poor maintenance, which can undermine the effectiveness of testing efforts. Addressing these challenges requires a focus on better test management practices, regular reviews and updates to ensure test cases remain relevant and effective.

This year, we found a significant shift in methodologies and processes within the software testing landscape.

The strong adoption of Agile and DevOps practices, increased involvement in CI/CD processes and the growing importance of automation are reshaping how testing is conducted. However, there are still challenges to overcome, particularly in reskilling testers and improving test case quality. By addressing these issues, the testing community can continue to evolve and meet the demands of modern software development.

As we move forward, it’s crucial for testers to stay adaptable, continuously learn and embrace new methodologies and tools. This will not only enhance your skills and careers but also contribute significantly to the quality and reliability of the software products we help to develop.

Testhouse Expands Global Footprint with New Office Launch in Saudi Arabia

Testhouse — Sun, 07 Apr 2024 09:47:55 +0000

Riyadh, Saudi Arabia – Testhouse, the renowned UK-based Quality Engineering Solutions Company, has announced a significant milestone in its expansion strategy with the opening of a new office in Riyadh, Saudi Arabia. This strategic move underscores Testhouse’s commitment to better serve the burgeoning market in the Kingdom, aligning closely with Saudi Arabia’s ambitious Vision 2030 objectives.

The inauguration of the new facility in Riyadh marks Testhouse’s establishment as a key player in the region, poised to cater to the evolving needs of Saudi Arabia and its neighbouring Gulf Cooperation Council (GCC) countries. With this centrally located hub, Testhouse aims to deliver its comprehensive suite of software testing services to support the rapid growth and digital transformation underway across the region.

Ani Gopinath, CEO of Testhouse, expressed enthusiasm about the company’s expansion into Saudi Arabia, recognizing the Kingdom’s pivotal role as an economic powerhouse and its ambitious development agenda. He remarked, “Saudi Arabia represents an important growth market for our company, driven by its thriving economy and visionary initiatives. We are eager to collaborate with local enterprises and contribute to the realization of Vision 2030, leveraging our expertise to foster innovation and excellence.”

The establishment of Testhouse’s presence in Riyadh not only signifies a strategic business move but also underscores the company’s commitment to nurturing partnerships, fostering talents and driving technological advancement and transformations in the region. With a focus on world class quality engineering solutions, Testhouse aims to empower organizations in Saudi Arabia and the GCC to achieve greater efficiency, reliability and competitiveness in an increasingly digital landscape.

Through collaboration, innovation and unwavering dedication to excellence, Testhouse looks forward to contributing significantly to the realization of Saudi Arabia’s Vision 2030 goals and beyond.

About the Company – Founded in 2000, Testhouse is a global Digital Assurance and Automation company headquartered in London, UK. The company serves clients across the United States, United Kingdom, Australia, Europe and the Middle East, delivering expertise to industries such as Banking, Payments, Manufacturing, Healthcare, Retail, Travel, Media and Entertainment.

Testhouse, Kingdom of Saudi Arabia
7327, Abdulsamad IBN Muhammad Street, Al Ezdihar Dist., Postal Code-12486, Riyadh

Testhouse excels in Quality Engineering, Secures Multiple Global Awards

Testhouse — Sun, 07 Apr 2024 09:46:24 +0000

esthouse, a distinguished leader in software testing and quality assurance, proudly announces its recent triumphs. The company has been honoured with four global prestigious awards, recognizing its outstanding contributions to the software testing industry.

The accolades recognize Testhouse for its unwavering commitment to excellence in quality engineering and innovation. The awards specifically acknowledge the company’s dedication to ensuring robust, reliable, and high-performance software solutions for its clients and the team’s commitment to excellence and continuous improvement.
Testhouse was bestowed with the Best Independent Technology-Agnostic Software Company 2023 – UK (Global Business Award), Best Software Quality Assurance Company 2023 (Technology Innovator Award), Best Global Software Quality Engineering Company (MAE Awards) and Emerging Technology in Testing of the Year 2023 (UNICOM Awards).

“We are elated and honoured to receive these prestigious awards, which validate our tireless efforts in providing top-notch software testing and quality assurance services,” said Ani Gopinath, CEO of Testhouse. “This recognition is a testament to the expertise and commitment of our talented team, who consistently go above and beyond to ensure the highest standards in software quality.”

Testhouse has consistently demonstrated leadership in the Quality Engineering industry and these awards underscore the company’s position as a trailblazer in innovation and digital assurance. The recognition also signifies its continuous endeavours to surpass customer expectations, foster positive transformations and play a role in the progress and development of the software industry.

As Testhouse celebrates these recent achievements, it remains focused on its mission to provide the most innovative and efficient quality engineering solutions to its clients, continuing to raise the bar for excellence in the industry. The company is grateful to its clients, employees, partners and other stakeholders for their ongoing support and collaboration.

AI in Software Testing: Transforming the Way We Deliver Quality Software

Testhouse — Sun, 07 Apr 2024 09:43:44 +0000

The software testing landscape, while crucial for ensuring application quality, has grappled with limitations in traditional methods for decades. This article explores how Artificial Intelligence (AI) is emerging as a game-changer, addressing these challenges and augmenting the capabilities of testers. By combining advanced machine learning, deep learning, natural language processing, and other techniques, AI offers a powerful toolkit to propel software testing into a new era.

The Bottlenecks of Traditional Testing
The passage lays out several shortcomings of current testing practices that hinder efficiency and effectiveness:

Stagnant Quality Improvement: Quality assurance hasn’t witnessed significant advancements in recent years. Testers struggle to provide timely feedback and extract valuable insights from the vast amount of data generated during testing.

Coverage Gaps: Measuring the effectiveness of a test suite (test coverage) is a challenge. Additionally, developer testing coverage often falls short due to time constraints, potentially leaving critical areas untested.

Test Selection Uncertainty: Determining the most relevant tests to execute for a specific software build can be a time-consuming and subjective process.

These limitations can lead to delayed feedback loops, reduced software quality, and increased rework cycles.

AI: A Powerful Ally

AI offers a compelling solution to these problems. By combining advanced machine learning, deep learning, natural language processing, and other techniques, AI can address these challenges and empower testers:

Extracting Insights from Data: AI, through techniques like natural language processing (NLP), can analyse vast amounts of test data to identify patterns and trends. This allows testers to gain valuable insights into potential defects, user behaviour, and overall software quality.

Predictive Analytics: AI algorithms can learn from historical data to predict potential issues before they occur. This proactive approach enables testers to prioritize test cases and focus on areas with the highest risk of defects.

Automated Feedback Mechanisms: AI-powered tools can automatically generate reports and dashboards that provide real-time insights into software quality. This timely feedback allows developers to address issues early in the development cycle, leading to faster defect resolution and improved software quality.

Automatic Test Case Generation: AI can analyse code structure and functionality to automatically generate comprehensive test cases. This eliminates the need for manual test case creation, leading to improved test coverage and reduced testing time.

Data-driven Test Prioritization: AI can analyse the impact of various code changes and prioritize test cases based on risk. This ensures that critical functionalities are tested thoroughly, while less critical areas can be covered with a lighter touch.

By addressing these bottlenecks, AI paves the way for a more efficient and effective testing process. This translates to faster release cycles, improved software quality and a reduction in overall development costs.

AI Use Cases for Test Automation
AI can be applied in various aspects of test automation, enhancing efficiency and effectiveness:

Intelligent Test Design and Automation: AI tools can generate intelligent test cases from code or API documentation, reducing the manual effort required for test design. This optimizes testing by creating a focused test suite that targets critical areas without compromising overall coverage.

Faster Feedback for Developers: AI-powered autonomous bots can navigate applications, identify workflows, and validate functionality across various screens. These bots can perform basic sanity or smoke testing on mobile applications across different platforms, providing rapid feedback to developers. This allows developers to identify and fix issues early in the development cycle, reducing the time and cost of remediation later.

Data-Driven Test Execution Guidance: AI with analytics capabilities can analyse development changes and recommend the most appropriate tests to execute based on those modifications. This helps testers prioritize their efforts and avoid wasting time running irrelevant tests on unchanged areas of the code.

Self-Healing Test Automation: Maintaining automated test scripts can be a burden due to frequent application changes. UI updates can break previously functional tests, requiring manual intervention to fix them. AI-powered self-healing tools can automatically identify and fix script issues arising from UI changes, minimizing maintenance effort and ensuring test suite integrity. This frees up testers to focus on more strategic tasks.
These are just a few examples, and as AI continues to evolve, we can expect even more innovative solutions to emerge in the realm of test automation.

AI: Partner, Not Replacement

A common concern regarding AI is the potential to replace human testers. The passage reassures us that AI, in its current state, is not a threat. Instead, it serves as a powerful tool to augment testers’ capabilities and address the challenges they face daily. Here’s how AI can empower testers:

Increased Productivity: AI-powered test design tools can significantly speed up test case creation, allowing testers to focus on more complex tasks that require human expertise, such as exploratory testing and test strategy development.

Improved Decision Making: AI can analyse vast amounts of data and suggest the most appropriate tests to execute based on development changes, streamlining the testing process and reducing the risk of overlooking critical areas.

Reduced Review Costs: AI-powered solutions can analyse user stories and identify potential issues early in the development lifecycle, lowering rework costs associated with fixing defects identified later in the testing process.

Enhanced User Experience: AI can leverage video analytics and emotion detection to identify user pain points during usability testing. This allows testers to gather more nuanced feedback about user experience and make data-driven decisions to improve the overall user experience.

Faster Testing: AI-powered technologies like bots can accelerate testing execution by running tests in parallel across multiple environments. This enables faster feedback and delivery cycles, getting high-quality software into the hands of users sooner.
By leveraging AI, testers can become more productive, make better decisions, and deliver higher quality.

Supercharging Business Efficiency with Dynamics 365 CoPilot

Testhouse — Tue, 02 Apr 2024 09:22:57 +0000

Discovers how Microsoft’s suite, including Dynamics 365 and Business Central, revolutionises sales, marketing, customer service and supply chain management. Unveil CoPilot’s role in optimising operations and securing real-time insights for heightened productivity and customer satisfaction.

Running a business is increasingly challenging, particularly with the need for continuous process enhancements to remain competitive. With rising customer expectations, businesses are compelled to adapt and innovate to thrive. Enter Dynamics 365 CoPilot by Microsoft, a cutting-edge solution designed to streamline operations and more effectively meet customer demands across all business facets.

This article illuminates the transformative power of Dynamics 365 CoPilot, showcasing its ability to automate marketing processes, nurture customer relationships, facilitate product launches via Business Central, and much more.

Introduction to Microsoft Dynamics 365 CoPilot

Acknowledging the pivotal role of team productivity in propelling business growth necessitates moving away from manual methodologies that can detract from customer satisfaction, disrupt sales and marketing processes, and complicate cash flow management.

Dynamics 365 CoPilot
From suggesting personalised messages to clients, initiating follow-ups, or advising on sales strategies, Viva Sales stands as your indispensable assistant. Gone are the days of toggling between disparate modules. D365 now amalgamates key sales, marketing, and customer service applications into one cohesive platform. Known for smoothing out processes, managing customer relations, and boosting productivity, Dynamics 365 CoPilot is revolutionising business operations.

But what exactly is Dynamics 365 CoPilot?

Dynamics 365 CoPilot is an AI-driven productivity aide, seamlessly integrating large language models (LLMs), Microsoft Graph content, and your preferred Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and Teams. Offering real-time intelligent assistance, it empowers users to significantly enhance their creativity, productivity, and skills with ease. Fuelled by advanced LLMs, including Generative Pre-Trained Transformers (GPT-4), CoPilot utilises deep learning techniques and extensive datasets to effectively understand, summarise, predict, and generate content.

Streamlining Sales and Marketing Processes

Dynamics testing services
In the competitive realm of sales, where every interaction is pivotal, optimising productivity and enriching the experience for sellers is crucial. Dynamics 365 Copilot emerges as a transformative force in sales, empowering sellers and elevating their performance.

Microsoft Dynamics 365 Viva Sales acts as your productivity ally, seamlessly integrating with email and chat platforms such as Microsoft Outlook and Teams. Furnished with AI-powered insights and actions bespoke to your tasks, it bolsters your efficiency and efficacy. From suggesting personalised messages to clients, initiating follow-ups, or advising on sales strategies, Viva Sales stands as your indispensable assistant.

Yet, there’s more on offer! Dynamics 365 introduces Copilot, an innovative feature crafted to save you time, amplify productivity, and maintain your focus on the essence of sales: engaging with customers and clinching deals. Whether you’re employing Microsoft Viva as part of Dynamics 365 Sales or amalgamating it with other CRM systems like Salesforce, it represents a pivotal shift in sales optimisation.

Let’s delve into further ways Dynamics 365 Copilot can boost your sales team’s productivity.

Craft Customised Responses for Individual Customers
The latest update to Viva Sales brings forth content suggestions derived from the analysis of customer emails. This functionality streamlines the crafting of responses to inquiries and proposals, embedding customised data such as pricing and promotions. Additionally, it allows for the creation of bespoke meeting emails, synchronised with Outlook calendars, facilitating efficient scheduling. This advancement not only saves precious time but also guarantees swift access to sales data, streamlining the sales journey.

Automate Customer Follow-up with AI
Sales teams invest countless hours daily in customer calls, followed by the task of summarising action items for subsequent follow-ups. Dynamics 365 Copilot conversion intelligence simplifies this process. Utilising Natural Language Processing (NLP) capabilities, it automatically summarises conversations, pinpointing key topics and concerns. This recap feature significantly reduces hours spent by extracting notes from Microsoft Teams and other crucial meetings.

Dynamics 365 CoPilot Customer Service Integration
In today’s competitive landscape, sustaining customer loyalty is crucial. Customer service representatives, facing complex challenges, can now leverage AI tools to streamline tasks and resolve issues more efficiently, thanks to Dynamics 365 (D365) CoPilot.

This suite of advanced AI capabilities expedites customer query resolution and boosts satisfaction rates, offering 24/7 support to representatives in accessing relevant resources and automating tedious tasks.

dynamic 365 CRM

Moreover, Dynamics 365 CoPilot enables the creation of a more personalised customer service experience. By analysing historical data and current interactions, it can suggest custom responses and actions tailored to each customer’s unique needs and preferences. This level of personalisation not only enhances customer satisfaction but also fosters loyalty and trust, setting businesses apart in a crowded marketplace. With CoPilot, companies can transform their customer service departments into strategic assets, driving long-term success through enhanced engagement and loyalty.

Real-time Customer Insights and Transparent Marketing

Real-time Customer Insights
In the dynamic landscape of modern marketing, the ability to pinpoint and engage with specific audience segments is key. Marketers are tasked with navigating the complexities of demographic targeting, adapting strategies to cater to individual personas amidst evolving consumer expectations.

The introduction of sophisticated AI technologies has revolutionised this process, enabling marketers to utilise next-generation AI for precise targeting based on current trends and buyer preferences.

Harness Profound Customer Insights with Ease

Leveraging Copilot within Dynamics 365 (D365) Customer Insights, marketers can now rapidly unearth deep customer insights without the need for intricate manual data analysis. Through the intuitive use of natural language prompts, accessing and understanding customer demographics becomes effortless, even for those without technical expertise. For example, marketers can seamlessly identify customers in London who have opted for a silver membership in the current year, paving the way for targeted marketing initiatives and bespoke experiences that propel business growth.

Craft Personalised Communications with Precision

The Content Ideas feature of D365 Marketing, powered by OpenAI Service, revolutionises the creation of personalised email content. By inputting key details, marketers can instantly generate a range of content suggestions, streamlining the review process and enabling the swift production of distinctive, impactful communications.

This enhanced approach not only ensures marketing efforts are finely tuned to the latest consumer behaviours and preferences but also significantly boosts efficiency and effectiveness in engaging with diverse customer segments.

Introduction of New Products with Business Central
E-commerce demands compelling product descriptions; a task made less daunting with Dynamics 365 Business Central’s CoPilot feature. Employing advanced AI, CoPilot suggests engaging descriptions tailored to your products, allowing for customisation to fit your brand’s voice and accelerating sales and product launches.
Eliminating Inefficiencies in Supply Chain Processes with CoPilot
Artificial Intelligence offers unprecedented insights into operations, with CoPilot in D365 Supply Chain Management enabling managers to identify and address supply chain issues proactively. Predictive insights allow for the pinpointing of affected orders, revolutionising materials, inventory, carriers, and distribution network management.

dynamics 365 testing

Revitalise Your Business with Dynamics Solutions and Technology Dynamics 365 CoPilot stands as a transformative tool across various business operations, from sales and marketing to customer service enhancements and supply chain optimisation. By leveraging advanced AI capabilities, CoPilot empowers teams, driving productivity and facilitating a suite of solutions to tackle various challenges. These include task automation, improved decision-making, customer experience enhancement, supply chain optimisation, and increased customer satisfaction. Dynamics 365 (D365) CoPilot presents itself as a comprehensive solution for managing all aspects of a business more effectively, embodying the ideal choice for those seeking to modernise and optimise their operations.

How Software Performance Testing Can Help Your Business Succeed this Holiday Season

Testhouse — Tue, 08 Nov 2022 12:53:38 +0000

Holiday time is quickly approaching. If you own a digital business, you should prepare for the yearly spikes in activity and demand from your clients. While ten years ago that might’ve meant hiring temporary staff to help manage the holiday rush, most of today’s shopping and customer service happens online. According to the National Retail Federation of the United States, holiday sales in 2021 increased by 14.1% to a record $886.7 billion.

In the digital retail landscape, providing customers with an outstanding user experience (UX) when interacting with your brand or accessing your services online is essential to your success. But with the increases in online activities affecting the performance of your technology systems during the holiday season, the UX becomes far more challenging to maintain.

Of course, your brand’s digital presence now consists of multiple channels that must all continue to provide an equally good, consistent UX. As a result,

maintaining the required level of performance, especially under heavy strain from high traffic volumes is a significant challenge.

Even small businesses today are required to simultaneously support a website, mobile application, customer service channels, e-commerce solutions, point-of-sale, inventory, shipping systems, business intelligence platforms and more. Without doing so, you’re accepting the potential of losing many online customers and seeing your sales drop significantly.

Therefore, to succeed – or even survive – this holiday season, you should implement an omnichannel performance testing strategy to ensure your systems can manage the load and continue to deliver the user experience necessary for your customers.

To minimize the possibility of slow service or system failure during peak traffic, you must also take a proactive approach to quality engineering. Begin measuring and improving your systems’ readiness for challenges before it’s too late.

Use Past Data to Predict Requirements

Start by analyzing data and gathering insights from previous holiday seasons. Then, use this to identify trends and predict scenarios that you’ll likely be facing this year. This will allow you to see patterns in online customer behaviour, expectations, and purchasing habits.

For example, you may find that your systems have faced the highest traffic at a specific time of day, or a particular day of the week, during the last few holiday seasons. These previous data will enable you to prepare your system for the busiest periods.

You’ll also find channels that are most likely used for a specific activity. For instance, your mobile app may find customers using discount codes or vouchers, while your website could be popular among customers who want the items they purchase shipped abroad.

Look for as many trends as possible and feed these to the team responsible for supporting your software. By understanding patterns in advance, performance testing can be used to prepare your systems for upcoming workloads.

Ensure Your Digital Apps Will Perform

When it comes to ensuring your digital applications will perform as required under the strain of holiday season traffic there are a few key factors that you will need to consider in advance.

First, measure the performance capabilities of your critical system components, such as the server, database, and middleware. This will give you a comprehensive view of where bottlenecks may occur and will show you where you need to optimize to improve your site’s performance.

Additionally, it’s vital to measure web page load times and user-facing metrics. Such data will give insights into the user experience your customers will have when accessing your site and would highlight areas that need improvement.

Some more in-depth questions to ask yourself ahead of this holiday season would be:

Home Page: How quick should products, that your customers are willing to buy, be displayed on the app?

Search Functionality: Do your consumers get relevant search results in a reasonable amount of time? If not, your customer may become frustrated and abandon your website in favour of one of your competitors.

Managing User Sessions: Remember that the holiday season won’t just bring more visitors, it will also put your log-in system and database under tremendous strain. Make sure to test scenarios such as a high volume of users trying to log in simultaneously.

Shopping Carts: Make sure to test software that facilitates customers’ interactions with their online shopping carts can continue to perform at the required levels even when there could be a drastic increase in the number of users.

Payment Processes: Can customers make payments concurrently through your third-party payment gateways? Run tests to ensure your payment system can connect to third-party payment approval processes even when your network is severely stressed.

Order Fulfilment: Is order information exchanged with the warehouse on time for items to be packed and delivered to customers? Confirm whether your warehouse management system can handle the increase in the order flow.
Background Jobs: Are background jobs for reconciliation, settlements and other purposes slowing down your apps due to high data processing volumes? Include background job scenarios as part of your workload model.

Special Offers: Special offers are much more common during the holiday season. Be sure to conduct thorough tests on functionalities of your website and reinforce your systems can handle increased loads.

The Business Value of Performance Testing

Performance testing is not just about finding problems and resolving them before they could negatively impact your customer service. Regular and efficient practising of performance testing can in fact deliver valuable opportunities and benefits to your business.

In addition to reducing risk and minimizing unplanned outages, performance testing can help you to:

Maximize uptime and speed, resulting in excellent customer experience, faster sales processing and increased revenue

Optimize channels’ performance to improve customer retention, customer loyalty and word-of-mouth referrals
How to Further Reduce Your Risk

Performance testing can be difficult for an average business, especially with many channels to worry about and the complexity of tying them all together. However, with something as important as application performance, it’s often wise to work with a trusted, experienced partner who can provide you with specialist guidance and expertise.
As a leading provider of performance testing and quality engineering services, our team here at Testhouse has a proven track record of reinforcing retail systems to manage customer loads of more than half a million users.

Our team has successfully managed end-to-end performance testing for global businesses in the retail, banking, government, education and healthcare sectors. All our clients came to us with one requirement in common – the need for robust and scalable solutions to support their large user bases.

This holiday season, do not take the risk of allowing surges in customer traffic to cause your systems to fail. Instead, use performance testing to ensure you’re prepared to take full advantage of the busiest time and maximize your online revenue.

Get in touch with one of our specialists today to discover how to implement an omnichannel performance test strategy quickly and easily for your business.

YOUR GUIDE TO SOFTWARE TESTING AUTOMATION IN 2022 AND BEYOND

Testhouse — Thu, 04 Aug 2022 12:30:31 +0000

With new technology solutions and digital tools emerging all the time, the state of software testing is constantly changing. As the technology matures, the capabilities of testing automation evolve, presenting opportunities to increase the quality and efficiency of your software testing.

Keeping up with the pace of change is difficult for most organisations. To help you ensure your testing strategy is aligned with the latest technology and trends, we’ve provided a detailed guide to software testing automation in 2022 and beyond.

Overcoming Your Testing Challenges

Test Stability and Failure Analysis

In such an ever-changing technology landscape, test stability is difficult to maintain. This is a key challenge which many testers are still struggling to manage.

While there are plenty of reasons why your tests might fail, the main reasons are:

Problems with the environment
Problems with the test
Problems with the test data
Actual defects.
testhouse automation testing challenges

To improve test stability –

Ensure requirements are thoroughly understood via practice like static testing
Ensure parameters are configurable so they are easily maintained
Adopt test data management practices – refresh, archive and sanitize
Shift testing left and identifying defects earlier to prevent major failures later
Ensure test environments are maintained, refreshed and secured
Of course, when test stability is an issue and you’re regularly having test fail, the analysis of that failure is also a time-consuming process which causes teams to lose productivity.

While very few failures will end up being due to actual defects, those are still the most important failures to analyse in your testing reports.

To mitigate this challenge, make sure you have coordinated reporting methods to save you spending more time than necessary looking into the reasons why your tests failed. You can also use automated tools to provide detailed insights and streamline your evaluation and resolving processes.

Software Testing Trends in 2022

Test Automation is Overtaking Manual Testing

The long-running trend of shifting from manual to automated testing continues in 2022, with many now

ramping up their efforts by adopting innovative new tools. The key outcome of utilising automation is essentially that it allows you to complete more testing in less time. Of course, this is a huge driver of increased productivity and allows you to save or reduce costs.

While manual testing won’t be disappearing anytime soon, applying automated processes in the right areas will help boost efficiency, improve test coverage and get software products released far quicker.

Shift-Left Testing

We are seeing many organisations shift their testing further left to non-functional testing, most notably with API, performance and accessibility testing.

Shift-left testing is crucial for effective functional testing, but it also allows you to reduce some of the more time-consuming aspects of testing, thanks to a few advantages:

It supports the principles of agile and DevOps
Its delivers cost savings to find defects earlier
It’s easier to maintain code and quality
It covers more functional and non-functional areas earlier.
Currently, too many organisations are making the common mistake of neglecting performance, accessibility, or security testing until the end of each of their sprints. Even worse, some testers only address these things when something has already gone wrong.

Shift-left testing provides a way to incorporate diverse tests into the sprints themselves, giving you a far more successful testing cycle.

Continuous Testing

Continuous testing is another trend that’s building momentum in the current software testing space, with automation driving the adoption of this practice. testhouse continuous testing trends

Continuous testing is typically done by either:

An internal quality assurance (QA) team supporting several agile teams
Dedicated QA resources within a feature team.

These types of testers can help maintain and accelerate their organisation’s release cadence, whether that’s weekly or monthly.

Of course, working to a weekly or monthly release cadence without automation tools supporting your testing processes will leave you with a high risk of defects being released into production.

Continuous testing can help get feedback sooner and increase the overall pace of innovation.

Behaviour-Driven Development

Behaviour-driven development (BDD) is another popular approach many testers have begun to take due to the benefits it offers. BDD offers a business-focused perspective and it’s also been known to stimulate better collaboration across teams and departments.

As more automation tools are introduced into release cycles, the organisations leading the way seem to be leveraging BDD solutions to help them improve their testing output.

If you embed BDD within your continuous testing processes, you’ll likely see faster and more digestible feedback passing between your testing team and your other stakeholders.

Make Sure Mobile Testing is a Priority

With more software products being developed as mobile-first than ever before, mobile testing should remain a high priority.

The importance of mobile testing will only continue to grow as technologies such as 5G make it into mainstream use.

It’s crucial to keep nurturing the skills, tools and best practices that support the successful production of mobile-first products

Our Tips to Help You Embrace the Future of Testing

Artificial Intelligence (AI) and Machine Learning (ML)

Unsurprisingly, more and more software testers are adopting artificial intelligence (AI) and machine learning (ML) to automate and optimise their testing in 2022.

If it’s not already a part of your strategy, introducing AI and ML into your testing processes should be a top priority this year.

Not only will this be necessary to keep up with the rapid pace of the current testing landscape, but this technology can also help you:

Increase the efficiency of your processes
Make more intelligent decisions
Enhance your products and services
Reduce errors and improve accuracy
Save valuable time and lower costs.
From test design and creation to test reporting, AI and ML will have a transformational impact on your software testing overall.

Automate and Optimise Your Test Failure Analysis

As mentioned earlier, a proven way to improve the efficiency of your testing is to address the notoriously time-consuming process of test failure analysis. Analysis of test failures has become a daunting responsibility due to the high volumes of data involved today.

Reducing the amount of time spent on test failure analysis, by introducing automated tools and processes will significantly accelerate the speed of your output.

AI and ML technology can also play a useful role here, allowing you to optimise your analysis and driving continual reductions in the time spent in this area.

Expanded Your Test Coverage

Broadening the coverage of your tests is also something we’d recommend working towards throughout 2022.

To help keep your test coverage up to date, we’d suggest taking the following steps:

Use calendars to keep up
Follow relevant events taking place
Conduct web traffic analysis
Match coverage to historical defects
Keep your test automation suite maintained
Don’t repeat failing tests without de-bugging
Regularly validate and modify your test automation suites.
You can also spread your test execution out throughout the pipeline, based on things like target features and platforms, regression needs, software iteration scope, phases in the CI/CD pipeline, personas, skill-sets, tools, and more.

Final Thoughts

Investments in software testing automation will continue to rise in 2022 and beyond. As software products and applications become complex, automation will become even more important for testers in the coming years.

To keep up with the pace of the industry, adopting automation is critical. The opportunities and benefits available when manual testing processes are removed are becoming harder, and more costly, to ignore.

Similarly, you’ll also benefit from shifting your testing left, to place more emphasis on key areas like performance, accessibility, and security.

These trends are at the top of the priority list for organisations that are currently leading the way in the global software quality engineering/assurance landscape.

Why Your Digital Transformation Strategy Must Include Continuous Testing?

Testhouse — Thu, 23 Jun 2022 07:25:17 +0000

Traditional approaches to enterprise IT – typically reliant on time-consuming, manual processes – have been overtaken in recent years by more agile, efficient, outcome-orientated models.

And with that shift putting an emphasis on faster cycles of development for software products, DevOps and Agile methodologies are now essential for any business looking to succeed with a meaningful digital transformation initiative.

So, you’re likely familiar with the practice of continuous delivery within DevOps and Agile, and the faster time-to-market this creates for your applications.

But many businesses are too focused on this speed and are consequently overlooking the importance of quality assurance, to their own detriment. Even for businesses who don’t make that mistake, maintaining the necessary levels of quality alongside the speed of continuous delivery is still proving a significant challenge.

The solution to this challenge is continuous testing. In fact, evolving your software testing processes to be streamlined and integrated with your continuous delivery pipeline is crucial to your digital transformation initiative.

In this article, we’ll explore what continuous testing really is, how it can help your business, and how you should approach it from a strategic point of view.

Continuous Testing

Continuous testing is a way of ensuring that product quality is deeply ingrained in every part of the development process – which should be a priority for every business these days – and keeps testing aligned to continuous delivery.

Without the right quality assurance measures in place, the risk of a product or application failing is far greater, meaning the consequences for the business are more severe.

Continuous testing will take care of that, while significantly reducing the time in which developers receive feedback on what they’ve delivered. This is achieved by leveraging tests activated in certain environments alongside development, in addition to the traditional tests carried out manually at various stages.

Here, tests are carried out as a built-in part of the software delivery pipeline to provide instant feedback on the potential risks associated with the product.

In practice, what this means is removing legacy processes from within your software development and testing cycles, and introducing new technologies and tools designed for more agile workflows to achieve greater quality.

This is not quite as disruptive as it may first sound. Testing and delivery would still be based on a sequential process but would instead be conducted with a test environment as a service where you execute tests based on specific requirements.

So, for example, you wouldn’t have to wait until your functional testing was complete to then move on to performance testing, thus accelerating the time to delivery.

Why Your Business Needs to Make This Change

If your business is practising – or even looking to practice – some kind of continuous delivery approach, while maintaining the highest possible levels of quality, continuous testing will be necessary.

Embracing this method will allow your teams to maintain quality assurance thoroughly, with each test taking place as soon as possible in the lifecycle of the application. This causes no delay to the project timeline and means developers are always aware of any potential issues before they’re allowed to become problems, vastly reducing the risk of bugs going live into production.

That involves using tools that leverage advantages such as automation, so that testing is done early, often, and as deeply and widely as possible.

When you begin to evaluate quality at every step of the development process, you will immediately recognise the positive results, not just for the productivity and efficiency of your team, but from a business point of view as well.

This is especially relevant to large enterprises with large user bases. If testing and QA are not effectively embedded into the process of development and the pipeline of continuous delivery, the risk can become substantial, because the failure of an application once it’s been deployed can have a catastrophic impact on your business.

The Benefits of Continuous Testing

When you are able to successfully execute a strategy for introducing continuous testing into your development, you’ll see positive changes begin to occur quickly. The advantages gained will move you closer to achieving your digital transformation goals, for example:

Bugs, errors, and new risks become apparent as soon as they arise
More frequent releases of new updates and products
Lower costs due to less manual resources and less repeated efforts
Accelerated speed of development and streamlined processes
Tools with greater ease-of-use and adaptability for the team
Greater quality of products through more in-depth metrics and feedback
Significant reduction of business risk
The ability to respond to new or changing business requirements quickly
Keeping up with the pace of competitors

How to Introduce Continuous Testing

The businesses leading the way with digital transformation are the ones who have embraced automation to help their software delivery become more effective and efficient.

Automating processes within testing allows the code to be quality-checked immediately when submitted, with far greater depth and coverage, at greater speeds, and with greater accuracy than any manual test can achieve.

And with technologies such as AI and ML also coming into play, your teams will be afforded even more innovative capabilities.

Prioritise Your People and Your Culture

Like any new technology implementation, you should begin by gaining approval and advocacy from stakeholders in senior leadership positions, including an ambassador who will help drive and encourage this change with you.

Just as importantly, though, you must ensure the teams who will be affected will feel comfortable adopting these new ways of working.

Automation can be a scary word for an employee, as it often raises concerns over the removal of manual jobs, whereas really the focus is on streamlining those jobs to free up time for more creative tasks.

Be transparent with your people from the very beginning and make sure to demonstrate the value these new processes will have for them, show them the benefits this will bring to their personal roles, and so on. This will help change the mindset of your team and help facilitate smooth adoption.

Then start by looking into what capabilities your teams need by analysing the current status quo and researching the best tools for those requirements. Remember to focus on giving your people what tools they need to do their jobs better, and what kind of user experience they want from those tools.

You will also need to choose technologies that can easily integrate with existing systems and processes and are compatible with your continuous delivery pipeline.

It’s wise to detail an incremental strategy that will introduce the new testing tools and processes in gradual steps, with frequent review and optimisation wherever possible. Seek the help of certain teams to be the early adopters and allow them to provide feedback on their experience to ensure the transformation is having the desired effects.

The Final Ingredient

The days of conducting time-consuming, repetitive processes for software testing are long gone. Those who resist or react to this trend slowly – or have not begun to act already – will soon find themselves unable to stay relevant when compared to the rest of the market.

As technology continues to provide better tools and more efficient ways of working than ever before, your business can take far more control over the quality of software products, as long as your testing strategy is made a priority.

Of course, the changes suggested above can be challenging. Successful digital transformation requires a complex selection of moving parts to work together in harmony.

If you’re unsure of the best way to successfully introduce continuous testing into your existing strategy, an option to consider is working with a proven, experienced partner like us who can guide you to take the right steps in the right order.

Why Software Cybersecurity and Quality Assurance Go Together

Testhouse — Thu, 07 Apr 2022 10:32:49 +0000

Digital data is the new gold, and hackers will stop at nothing to get yours. In a study by cybersecurity experts at Maryland University, researchers found that cyber-attacks happen once every 39 seconds. As one of the first organizations to quantify cyber-attacks, Maryland University also says that these attacks can affect one out of every three U.S. citizens.

Furthermore, the number of connected devices today is estimated at around 200 billion. Combined with the fact that 77% of organizations have no cybersecurity response plans in place, America’s application security is far from being an adequate response to the rapid-fire threat posed by hackers. These frightening statistics underscore why the fields of cybersecurity and quality assurance (QA) need to integrate their key processes.

Both QA and cybersecurity are about risk management

In the development lifecycle, QA teams are all about filling in the gaps in order to minimize risks to the quality of the end product or user experience. Meanwhile, cybersecurity processes such as Mobile Application Security Testing (MAST) are all about identifying security-related risks. From authorization concerns to data vulnerabilities, MAST is about analyzing all the potential risk that comes with every possible action on that app.

In turn, this type of testing makes the job of QA teams easier down the line. With fewer security risks comes less risk to the overall quality of the software as well. And the better the quality, the easier it becomes to spot any cybersecurity risks. Because of how QA and cybersecurity intersect in terms of risk management, coordinating with one another can significantly lighten the workload of both parties.

Security testing is ‘shifting to the left’

This simply means that cybersecurity or application security training is now being integrated within software developers’ daily responsibilities. Rather than being a discrete step in the development lifecycle, this leftward-shift means that cybersecurity is becoming part and parcel of the QA testing process. In their task to build the test infrastructure, today’s software developers, data scientists, and QA testers are expected to have a solid grasp of security.

A similar shift to the left can be observed in cutting edge tech training institutions, like the long-standing and web-based Maryville University. Aimed at producing well-rounded developers and software experts, the online school’s different advanced tech programs were developed with cybersecurity integration in mind. In fact, the online bachelor’s in cybersecurity at Maryville University is designed to be paired with its masteral-level data science, software development, and MBA courses. Furthermore, with coursework mostly happening in the university’s Apple-distinguished Virtual Lab, students can train in a fully online and mobile platform that they can access anywhere. This includes working on defensive digital tactics for real-world companies – under the remote supervision of cybersecurity experts.

This gives students real-world experience in remote and collaborative cybersecurity work. When they graduate, this hands-on remote training will be valuable in terms of collaborating with QA experts. Whether they go on to focus on cybersecurity or branch out to other in-demand fields like data science, software development, or business administration, the security experts of the future are being trained to more easily integrate their security expertise with companies’ existing QA testing infrastructures. From training to implementation, this impending partnership between security and QA is inevitable.

In an age where high-value targets like the Defense Department, other government offices, financial institutions, social media platforms, and tech giants are being constantly assailed by hackers, the integration of software QA and security is the best defense. It’s no secret that cybersecurity concerns have led to software developers and QA teams being spread out too thin. But with security being integrated as a top-of-mind priority for anyone involved in the testing infrastructure, then security experts, developers, and QA teams can breathe a little easier.

To learn how Testhouse can help your organization secure through security testing services, reach out to contact@testhouse.net or visit - https://www.testhouse.net/service-offerings/managed-testing-services/security-testing/

Forem: Testhouse

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Use Past Data to Predict Requirements

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YOUR GUIDE TO SOFTWARE TESTING AUTOMATION IN 2022 AND BEYOND

Overcoming Your Testing Challenges

Test Stability and Failure Analysis

Software Testing Trends in 2022

Test Automation is Overtaking Manual Testing

Shift-Left Testing

Continuous Testing

Behaviour-Driven Development

Make Sure Mobile Testing is a Priority

Our Tips to Help You Embrace the Future of Testing

Artificial Intelligence (AI) and Machine Learning (ML)

Automate and Optimise Your Test Failure Analysis

Expanded Your Test Coverage

Final Thoughts

Why Your Digital Transformation Strategy Must Include Continuous Testing?

Continuous Testing

Why Your Business Needs to Make This Change

The Benefits of Continuous Testing

How to Introduce Continuous Testing

Prioritise Your People and Your Culture

The Final Ingredient

We’re Here to Help

Why Software Cybersecurity and Quality Assurance Go Together