Technology is the primary force behind any transformation. And the role of testing is changing, moving from being overlooked to becoming a value creator. In today’s world, it becomes extremely critical for enterprises to adapt to the fast-changing requirements and customer expectations.
Test Automation plays an important role in allowing businesses to boost productivity, develop new products rapidly, and enhance the development and testing process thereby leading to increased customer experience. Many teams use Open-source platforms for their test automation. Although such platforms offer extensive customization, flexibility, and a broader community ecosystem, it’s essential to recognize the potential bottlenecks associated with them. Bottlenecks of open source platforms:
Transforming the testing landscape with LC/NC platformsLow-Code platforms, also known as low-code application development platforms, minimize or eliminate the manual coding required to develop and deploy software applications. They have a panel of visual elements that enable development without programming. No-Code platforms allow people with no knowledge or technical training in software development to create applications without programming a single line of code. Teams can use Low-Code/No-Code (LCNC) technologies to radically change how work gets done. It can enable teams to automate more tedious, error-prone processes that can occasionally take attention away from more strategic, higher-level work that adds greater value to the company. According to the Mckinsey report, there will be 70% growth in the market and adoption of new application development that will leverage low-code/no code by 2025 (vs <25% in 2020). Benefits of Low-Code/ No-Code Platforms1. Shorter Time to Market Less time is spent on development using such platforms. With code templates and pre-built features, you can significantly improve your application’s release time, resulting in a shorter time to market for new products. significantly 2. Reduced Learning Curve It requires minimal coding experience and provides a visual interface and pre-built components making it easy to use. Using a component-based approach enables developers to develop applications without writing any code. 3. Accelerated Test Creation and Maintenance Creating and maintaining tests is faster due to the drag-and-drop functionality and reusable components. This will ensure testing cycles are much faster compared to traditional test automation. 4. Authoring test scripts Offers a visual interface and drag-and-drop functionality, reducing the time and effort required to author test cases. 5. Address issues related to Flaky Tests The LC/NC platforms minimize the reliance on intricate coding and have features for handling dynamic elements and reducing the flaky tests. You can have AI-powered automation with self-healing capability to deal with synchronization issues or dynamic elements. 6. Enhanced Collaboration Between Teams Quality increases when teams work together. These platforms encourage collaboration by allowing business analysts and testers to contribute to test automation efforts from very early stages, making the development and testing cycles more agile and focused on the end-user experience. 7. Reduced Costs You can reduce the dependency of developers in creating UI tests. Testers can also contribute to automation, reducing the need for specialized development skills and associated costs of training. 8. Scale with Ease These tools can handle complex test scenarios and also scale up or down according to the changing needs of the testing process. 9. Increased Productivity Rather than spending hours coding, developers can be productive by focusing on more important business problems. 10. Reusability These platforms emphasize on modular designs, allowing developers/testers to create reusable components. You can reuse the test flows across test plans. To know more about this blog : Benefits of low code test automation
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Since its inception, Agile methodologies have played an important role in the software development lifecycle. With digital transformation on the rise, companies are opting for this methodology to achieve progress and model transformation. CIOs played a very important role in bringing agile into different business areas. They understood the need to incorporate the latest technologies for faster results. According to Gartner, “91% of businesses are engaged in one or the other form of digital initiative, and 87% of leaders prioritize digitalization.”
Understanding Digital Transformation and the Role of Agile Testing Digital transformation is like giving a traditional business a tech makeover. For progressive businesses aiming to digitize, it is important to know that digitalization isn’t a process done once and for all. It is a continuous process that should happen in measured steps. As this principle aligns with agile methodologies, following it would offer better results. Now, let us talk about the role of agile testing in digital transformation. Agile testing serves as a linchpin, ensuring that the software development and testing processes seamlessly align with digital initiatives’ dynamic and evolving nature. Benefits of Agile Testing in Digital TransformationNow that you know how agile testing supports digital transformation, let us see the different benefits it brings. Adaptability and Flexibility Traditional vs. Agile In traditional testing approaches, testing usually happens after the development reaches a concrete stage. Identifying issues and tracing it back to their origins is a major time consuming task at this stage. This can lead to delays in identifying and fixing issues. In contrast, Agile testing is integrated throughout the development lifecycle, allowing for continuous feedback and adaptation. Digital Transformation Impact As organizations undergo digital transformation, adapting quickly to changes becomes paramount. Agile testing ensures that testing is a continuous, iterative process, enabling the organization to respond promptly to evolving digital requirements. Faster Time-to-Market Traditional vs. Agile Traditional testing may lead to a bottleneck, due to delays in fixing bugs, hence, slowing down the entire development process. Agile testing, however, focuses on incremental development and frequent releases, ensuring that features are tested and validated continuously. Digital Transformation Impact With the increasing pace of digital innovation, organizations need to release software quickly to stay competitive. Agile testing contributes to a faster time-to-market for digital solutions and features. Collaboration and Communication Traditional vs. Agile Traditional testing often involves siloed teams, with limited communication between developers, testers, and other stakeholders. Agile testing emphasizes collaboration and communication throughout the development process. Both, the testing and the development team are involved right from the inception of the project. Any issue identified during the testing is immediately reported to the concerned team for fixing, thus expediting the entire process. Digital Transformation Impact In a digital transformation journey, collaboration is essential for cross-functional teams working on diverse aspects of the project. Agile testing promotes collaboration, ensuring everyone is on the same page and aligned with the transformation goals. Continuous Improvement Traditional vs. Agile Traditional testing might not provide sufficient opportunities for reflection and improvement between development cycles. Agile testing incorporates regular retrospectives to identify areas for improvement. Digital Transformation Impact Digital transformation requires continuous learning and improvement. Agile testing fosters a culture of continuous improvement, helping the organization adapt and evolve in response to changing market needs. Customer-Centric Approach Traditional vs. Agile Traditional testing may not prioritize customer feedback until the later stages of development. Agile testing values customer input throughout the process, ensuring the final product meets customer expectations. Digital Transformation Impact Customer satisfaction is a key driver of digital transformation. Agile testing aligns with this by strongly emphasizing customer feedback and incorporating it into the development process, resulting in products that better meet user needs. Read for more this about this blog : Role of Agile Testing Automation “executes”. Intelligent automation “thinks” and “learns”.
The tricky question of thorough testing needs to be addressed in a holistic and procedural manner. It’s good to have a great testing strategy on paper, but it’s even more important to properly execute and this is certainly not a walk in the park. Many businesses still grapple with the consequences of not implementing it. In today’s digital age, where almost all businesses are digital, teams face intense competition to deliver innovative features swiftly and securely. With the urgency to deliver features with limited time, teams often focus on short-term product success over long-term in-depth testing benefits. This trade-off can have consequences, including software defects, security vulnerabilities, and dissatisfied users. A proper intelligent testing automation strategy must be backed by a well-defined delivery structure, a balanced mix of technology enablers, and on-demand access to tools, technologies, test environments, and frameworks. Critical Business Challenges Let’s consider a banking application, and see how Intelligent test automation leverages artificial intelligence (AI) and machine learning (ML) technologies to streamline the testing process and address critical business problems. 1. Delayed Time to Market Scenario: A banking application must update its mobile app to include a new payment feature. Pain Point: With traditional ways of identifying defects at the last stages, there is less time to fix defects, thereby increasing the likelihood that they will be postponed until later increments or versions of the system, thus creating a “bow wave” of technical debt. This can significantly delay product launches. Solution: Shift Left Testing involves testing the application right from the beginning of the development process. Additionally, teams can fix defects in regression tests quickly with runtime Self-healing capability. Tools like the AI Defect Predictor tool help you to accelerate defect prediction and resolution, allowing teams to go to market with releases faster. 2. Decreased Software Quality due to Frequent Code Changes Scenario: The development team keeps updating the application’s code due to changing requirements, security updates, defect fixes, code refactoring, or performance optimization. Pain Point: Frequent code changes can introduce new defects. The teams struggle with a rapid development pace with minimum testing. Solution: Intelligent Automation testing integrates into CI/CD pipelines, ensuring complete testing prior to the release. As per the scope of the build, you can scale up by getting build checks done via the 3 types of regression testing services, where the regression cycles are reduced from weeks to just hours.
Scenario: There is a specific defect pattern that keeps occurring in the application leading to similar issues and downtime. Pain Point: Lack of data-driven insights impacts efficiency and leads to lower customer experience (CX). True intelligence starts when you can make intelligent decisions on demand. Solution: AI thrives on information. It has the ability to collect and analyze data in real time. With test insights into the entire CI/CD pipeline, you can understand the effect of each change on the product, and their patterns and ultimately develop better customer experience strategies. 4. Security Vulnerabilities Scenario: Your application collects enormous amounts of personally identifiable information and hence could be targeted by cyber criminals. Pain Point: Misuse of data and unauthorized use of AI can have a negative impact on the business. Such malicious attacks could result in expensive lawsuits, penalties, and reputational damage. Solution: When creating your applications, it’s critical to take end users’ privacy, transparency, and security issues into consideration. Conducting in-depth Performance Testing and Security testing ensures that the application does not have any web vulnerability that could potentially expose any sensitive data to an intruder or an attacker. Read for more click here : Transforming 6 Business Challenges into Smart Solutions Read Next : Adhoc testing , Test Autoomation , Self healing test automation What Is Test Infrastructure?
First things first, let us understand what test infrastructure is. Testing is a continuous process and proper infrastructure can make it a hassle-free activity. A testing infrastructure is the essential framework and tools used in software development to systematically assess and validate a software system’s quality, functionality, and performance. It encompasses testing environments, automation frameworks, and methodologies, ensuring thorough testing and defect detection. This infrastructure is pivotal in maintaining software reliability and meeting user expectations. Why Is it needed? Benefits of Test Infrastructure While setting up test infrastructure takes some time, it bears so many benefits. Here are some of them:
There are six main components in a test infrastructure: Challenges of Test Infrastructure While test infrastructure simplifies so many things, it comes with its own set of challenges. Infrastructure Complexity You need to be an expert in establishing and maintaining a test infrastructure. Setting up and configuring different types of components, managing any kind of dependencies, and ensuring compatibility across various tools and environments is a hassle. Synchronization It is important to establish a proper connection between development and testing. This entire process is a challenge, and there needs to be extensive collaboration between wo teams so that both the processes are done in parallel. Remote Environment The testing teams need to rely on other organizations to handle any issues with the equipment, software, hardware resources, and network related to the testing environment. Test Maintenance Whenever a new feature is introduced into the application or software, the tests need to be updated in order to align with the requirements. This maintenance is time and resource-consuming. Webomates CQ: Testing Simplified While testing infrastructure smoothens your entire testing process, setting it up and maintaining everything requires a huge team of experts. What if I say you can ignore all of these hassles and jump right into the testing process? Well, this is possible with Webomates. You just need to start a free trial and see how our product works. The best part is our free trial lasts for two months, giving you ample time to test it out. Another important thing that you need to know is our AiHealing technology. This patented technology by Webomates removes the hassle of maintaining test automation. Our advanced product leverages AI and heals itself without human intervention. To know more about our testing services and how we can bring a pragmatic shift in your approach, get in touch with us now. You can schedule a demo, opt for our free trial, or drop us an email at [email protected]. A stitch in time saves nine. Save time and resources by contacting us right away. Testing the code…A battle against time!
Traditionally, manual testing has always been the cornerstone of quality control for software. However, it often proves to be time-consuming, error-prone, and limited in scope. These limitations become more and more evident as applications are now complex and release cycles are accelerated. This demand for agility and efficiency led to the advent of automation, where there was an emphasis on speed, efficiency, and wider coverage. As a result, most of the testing projects are trying to shift their focus on translating their manual test cases to automated ones to enhance efficiency, productivity, and overall testing coverage. AI-powered Automated Test Case Generation results in: Getting the test plan and test strategy right is an important step of testing and at the heart of effective testing lie test cases – they are indispensable for ensuring high quality, reliable, and user-friendly applications. We have talked in detail about “Understanding Test Plan and Test Strategy for Effective Test Automation” in our blog published last week. Click here to read more. Now, let’s look at the key considerations in selecting the right tests to automate. Step 1 – Identifying the right test cases A test case is a well-defined specification of inputs, test procedures, test conditions, and expected output. They are designed to uncover defects and vulnerabilities in the application, validate the applications works as intended, and meet performance standards. Pro Tip: Understand why Modularity in test case writing is critical To ensure overall test coverage, you need a well-rounded set of test cases that address various aspects of the application. For example:
Step 2 – Identifying the right test cases – TO AUTOMATE! Now that the test cases have been identified, the next step is to execute them. That calls for the next level decision, which ones to be executed manually, and which ones to be done via automation. The decision to automate or not should be based on various factors such as the testing objectives of the particular project, complexity, availability of skilled resources, and Return on Investment (ROI). Not all tests will meet these criteria. By carefully selecting the right tests for automation, teams can unlock a myriad of benefits, from increased efficiency and speed to enhanced test coverage and early defect detection. Tests that should be automated: Tests that are repeatable – Tests that are run with each code change to ensure existing functionality remains intact. Example: Let’s take an example of an online banking application. Automate tests for account verification or tests for repeated balance inquiries. Business Critical tests – The features or modules that could cause damage to the business if they fail. Example: Automate tests for complex loan approval or online bill payment scenarios involving various parameters and criteria. Regression Tests: Tests that verify the functionality of the application after each code/build release. Read on to know What are the 3 types of Regression Testing and when to use them? Example: Automate bill payment module after each code update. Performance Tests like Load and Stress Tests: Tests that simulate load and stress conditions on your application during heavy user traffic. Check this out to know more about the Performance Testing Types & Metrics Example: Automate performance tests to evaluate the responsiveness of online banking services during peak hours or during tax filing months. Security Testing: Tests to identify any vulnerabilities in the application. See how you can Add Security Testing with Complete Regression Test. Example: Automate security tests to identify data security and web vulnerabilities. Integration Tests and Compatibility Tests: Tests that verify compatibility across different browsers, devices, and operating systems. Example: Automate tests to ensure that your banking application functions seamlessly on multiple web browsers and devices, and external systems like payment gateways. API Testing: Tests that help to ensure the integrity and functionality of your application’s services. Also learn the 5 Traps to Avoid in API Testing and some Dos and donts of API testing. Example: Automate API tests to validate the functionality of a banking application’s RESTful APIs for fund transfers or payments. Tests that should not be automated Though there are many benefits to automation, it’s important to recognize that not all tests are best suited for automation. How Webomates does it It’s the era of smart testing. And in today’s global competition, the ability to inspect the product quality comprehensively and reliably is a key success factor for organizations. Webomates’ powerful, patented CQ Portal uses advanced AI and ML algorithms and deep learning to produce actionable results from multivariate problems. Webomates offers regression testing as a service that is a combination of test cases based on testing and exploratory testing. Test cases based testing establishes a baseline and uses a multi-execution channel approach, to reach true pass / true fail, using AI Automation, automation, manual, and crowdsourcing. Webomates Intelligent Test Automation helps to create test cases that are automatically generated from application models thus enabling Continuous Testing too. If you are interested in learning more about Webomates’ CQ service please click here and schedule a demo, or reach out to us at [email protected] User Interface testing involves testing the functionality of any application from the end user’s point of view. It may or may not involve graphical elements. It essentially tests functionalities which require direct interaction with the end users.
The application undergoing testing may be robust in terms of performance, business logic handling, security etc. However, all this will be in vain if the end user does not have a favourable experience. Hence, it is important to conduct user interface testing to ensure that besides the internal functioning, the user facing layer aka presentation layer is also properly verified and validated. Every type of testing has its own advantages, pitfalls and challenges. In this article, we will talk about a few challenges faced while testing user interfaces. Continuous changes in User InterfaceWith organizations following agile development approach, it is an obvious fact that applications evolve with every development cycle. The user interface changes can happen due to multiple reasons like new version release, changes in requirements, changes in functionality etc. Any such changes directly or indirectly impact the UI, thus rendering the test cases vulnerable to failures. Keeping pace with these changes becomes extremely difficult. The business stakeholders are more concerned about how the changes have been correctly incorporated and are available to their customers with every new release. This clearly indicates the need for rigorous testing efforts. Regression testing difficultiesIn continuation from the previous point, regression testing becomes a daunting task when frequent changes are there. The changes may not necessarily be in the user interface, but could be in any other interfacing element or underlying logic or data. For example, If the field length of any element changes from 15 to 10, but user interfacing element is not updated with necessary checks in place, then there will be issues while testing, depending on the test conditions applied to that particular element. There could be multiple such scenarios, where any change in one element directly or indirectly impacts some other element. The test cases need to be updated on a regular basis to reflect every change. There is a high probability that all possible scenarios are not covered and some bugs escape unnoticed in the build. This has a direct impact on the end user experience of the application. Complex GUI elementsVisual representation of data, process, statistics etc is much easier to comprehend. No wonder the customers expect quick processes and visually appealing interfaces. The data is dynamic in nature and sometimes can take time to process and present. Generating charts, diagrams, graphical representation etc makes it challenging to test such applications. This is one such example. There are many other complex elements which make user experience much better, but also make testing a tough job. If testing of such complex elements is not done properly, then the whole purpose of having them in place to elevate the end user experience gets defeated. Automation effortsAutomating UI testing can be a challenging task as automation simulates end users using HTML locators. Details of challenges related to automation have been covered in our blog “Bane of Automation”. Besides the factors mentioned in the said blog, script maintenance also becomes a herculean effort, given the fact that user interface is prone to frequent changes. Hence, choosing and implementing a right automation tool is only one part of the puzzle, the other side is to continuously maintain it. ROI measurement of UI testing UI testing requires a significant amount of investment in terms of time and effort, thus affecting monetary aspect as well. Changes in UI involve changes in tests of same or linked elements, thus adding to overall testing time. For the business stakeholders what really matters is the returns that they get for financial, human and technological resource investment. Giving a numerical value of ROI in UI testing becomes a tough task. ConclusionThe success of any application or product is solely based on its acceptance by the end users. An application may be exceptionally good in functionality and high rated in performance, but it is of no use if it does not cater to positive end user experience. Thus, user Interface testing becomes extremely critical in the software release process, since it validates the user friendliness of the application. Over the years the whole UI testing strategy has matured and we at Webomates have a well-defined process in place for all your User Interface testing needs.
Understanding ROI in Test Automation
In the era of data-driven decision-making, leadership rarely invests a single dollar from the business budget without having a clear grasp of the projected returns. Agile teams in particular find themselves in the limelight, having to present their work and explain why test automation should be used together with other crucial tools. The benefits of test automation extend beyond testers. Test automation also benefits the developers within each feature’s team as they too take an active part in test automation. It involves using automated testing tools and scripts to execute tests, compare actual results to expected outcomes, and report test results. This approach offers a plethora of benefits such as increased test coverage, faster test execution, and early defect identification. This article explores the significance of test automation along with the formula to calculate Return on Investment (ROI). Additionally, it lists a comparative table of benefits obtained from test automation. The Formula: Measuring ROI ROI is a critical metric that evaluates the effectiveness of an investment. When referring to test automation, ROI weighs the costs involved in implementing and maintaining automated tests against the benefits gained from improved testing efficiency and quality. You can use the following formula to calculate ROI. While there are various factors that contribute to ROI, you’ll need to understand the cost and time benefits associated with test automation to use the formula. Also, it’s just a metric that gives you the approximate return value you can get by embedding an automation strategy into your QA. Calculating Time Benefits : A significant aspect of ROI is how test automation contributes to faster time-to-market. Calculate the time saved through automation in test execution, test case creation, and regression testing. Not only does automation improve testing efficiency, but it also frees up valuable resources for more strategic and creative tasks. Benefit Impact of not using Automation How does Automation save time?Enhanced Productivity Your developers and testers can have effort burnout due to the mundane and repetitive tasks Automation tool has the ability to work 24*7, 365 days a year, and at war speed. Tools like AI Defect Predictor tool can help them reduce their defect triage time. Faster defect identification Traditional testing is left at the end where you need to deal with a whole load of bugs and critical issues post-development. Shift Left testing provides an effective means to perform testing in parallel to development processes. Save enormous amounts of time in diagnosing and Defect Triaging Enhanced test coverage The application can be exposed to invalid inputs, unusual conditions, or unexpected events that are not covered while designing the test cases. A combination of test cases-based testing, negative and edge case testing, and Exploratory Testing helps you increase the testing coverage, ensuring more comprehensive testing Test Execution Time Traditional testing will take weeks to execute and provide defect details to the development and testing teams. Execute automated tests by running a suite of tests Test case creation time Creating test cases manually is a repetitive, time-consuming process and may require frequent updates as the application changes. Create and maintain test scripts quickly compared to producing manual test cases Regression testing time Test cases keep changing due to a defect fix or feature change. You need to validate these changes in every build. This creates immense pressure on your testing teams. Test automation can perform regression tests frequently and is carried out in 3 environments — Staging, Integration, and Development, to ensure that the existing application is not broken. Calculating Cost Benefits : It’s important to account for all expenses related to automation. By assessing the potential cost savings, teams can make informed decisions about implementing the test automation. You can also consider both short-term and long-term savings, including reduced resources costs and improved application quality. Benefit Impact of not using Automation How does Automation save cost?Initial setup costs The expenses for acquiring tools, licenses, hardware, and infrastructure. Streamlining IT infrastructure management like setting up the servers, configuring them, deploying the applications, and managing the load helps in avoiding any issues in the scalability and availability of the application Maintenance costs Automation scripts and infrastructure need to be continually updated to keep your automation ecosystem up-to-date and efficient Self-healing mechanism helps you to reduce Test maintenance by learning if there is a change made, and then automatically modifying the test automation script to fix the problem. Cost of fixing escaped defectsPost-release defects can be expensive and time-consuming to fix. Teams can Shift Left to detect issues early in the testing lifecycle. By catching issues in pre-production testing, organizations can significantly reduce or eliminate defects. Fewer or no post-release defects result in cost savings related to bug fixes and support. Infrastructure Cost Teams need to perform manual configuration of individual deployment environments and this causes environment drift in the release pipeline. Infrastructure as Code (IaC) is the management of infrastructure using code files. The teams can test the applications in production-like environments early in the development cycle, preventing configuration drift and errors that surface after the release. Keys Points to Consider Before you start calculating, you should be aware that it is quite challenging to arrive at quantifiable metrics. You need to approach test automation ROI as an estimation rather than an exact number. The Perks of Embracing Cloud Testing Testing as a Service enables the teams to focus on higher-value priorities like defect resolution and quality analysis. It creates test cases and test scripts and keeps them up-to-date. Unlike traditional testing, cloud-based testing resources can be dynamically scaled up or down as per the project’s requirements. In a time when software development workloads can be unpredictable and differ greatly between different projects, this adaptability is crucial. Overall, adopting cloud testing can result in better quality, faster time-to-market, cost savings, and higher efficiency for your applications. Partner with Webomates to get maximum ROI by implementing these principles. Connect with us to discover how you can redefine and transform your software testing with Intelligent Automation services. If you are interested in learning more about Webomates CQ service please click here and schedule a demo, or reach out to us at [email protected] Navigating Testing Challenges for New Ventures with Webomates CQ
As easy as it may sound, starting a new venture, especially when it comes to application development and testing, is filled with multiple challenges and roadblocks. New infrastructure, new development and testing tools and technologies, new partnerships, new customer segments, unknown costs — this complex terrain is uncharted. Testing Challenges for New Ventures Customer preferences are ever-changing. And new ventures must be agile and scalable in order to guarantee good user experience. That means, your development and testing teams must be agile and quick to respond to feedback. Some of the common challenges faced by new ventures are:
When competition is fierce, your success depends on your level of innovation and time to market. So, how can teams make the most of today’s unique opportunities, while mitigating the accompanying risks? Cloud testing has become an urgent imperative for creating a sustainable advantage for teams, as it can ensure resilience, faster customer feedback, speed, and overall cost reduction. Our goal… Making sure applications don’t just ‘work’ but are defect-free and deliver seamless user experience. Our Solutions… Explore how high-impact intelligent test automation solutions can enhance your processes and boost your team’s productivity. Your benefits… Webomates comprehensive portfolio of solutions and services is designed to help you rethink the complexity of modern testing and unlock new levels of performance, like: Features that help Webomates stand out among the Automation Testing Tools/Services are:
This is particularly useful across industries with strict compliance requirements, such as healthcare or finance, where a clear audit trail of all testing activities is necessary for regulatory and compliance purposes. Client Success Stories Our scale of collaboration and testing capabilities enable us to address vulnerabilities quickly or prevent them entirely. We have 9 patented AI tools and human expertise always at hand to help you. We have helped our esteemed clients achieve tremendous benefits by implementing these solutions.
Despite recent major advancements in AI technologies, only a few teams have made use of them. Adopting AI and ML-powered automation solutions will drastically transform your operations because they offer such a wide range of benefits related to Intelligent Automation. AI is there to help you increase your efficiency! Introduce your team to AI Testing for improved efficiency and speed up your software delivery! Please reach out to us at [email protected] to learn more about our AI-powered software testing solutions and how it can help you improve your business outcomes! Tag: AI test automation, AI Testing, Artificial Intelligence, Automation Testing, Best AI test automation tool |
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