QA Automation Services
As test plans grow beyond the efficiency of manual processes, QA automation testing can help by using tools and machines to automate repetitive tests and scripts for front-end and back-end tiers. Whether it’s load testing, stress testing or endurance testing, you need QA automation services with a testing specialist to provide software that can manage growing customer use.
Enlist a team of QA automation service experts who will put your applications through their paces. With experience in most modern approaches, languages, frameworks and documentation tools, GAP ensures your technology stack is covered.Â
- Reduce testing time and costs
- Discover quality issues through automation
- Improve product quality
- Selenium
- WebDriverIO
- Cypress
- Playwright
- Jest
- Jasmine
- Pytest
- RestAssured
- Postman Axios
- Appium
- JMeter
Save Time and Money with QA Automation Testing
In today's world, the use of tools for project automation is a necessity that, far from being a luxury, represents an enhancement in the quality processes of software development projects. This allows QA teams to focus on the quality of new features, leaving automated tests to validate all those repetitive cases that consume a lot of time and have complex execution. This is how GAP has had the opportunity to develop Web automation frameworks for many clients, using competitive tools in the market with a proven track record, stability and long-term support, such as Selenium, WebDriverIO, Cypress and Playwright.
API testing helps to identify early issues and is different from UI testing. API Testing doesn't require the GUI to be ready, and it can be performed way early in the development cycle. The Automated API tests provide much quicker test results and significantly accelerate development workflows; thus, it helps you speed up the feedback loop and catch issues faster. Additionally, API tests are significantly less time-consuming, as these sorts of tests do not need to spend much time rendering and loading the web pages and interface elements, but can be executed in seconds. Some of the most common tools we use in our projects are Jest, Jasmine, Pytest, RestAssured, Postman Axios.
QA automation testing is undeniably a powerful tool to enhance the quality of our software. However, the mere creation of test cases doesn't yield as valuable results unless combined with a continuous testing execution process as part of the software development being tested. This is where tools like Jenkins, ADO pipelines, Gitlab, GitHub actions, circleCI, Docker, etc., come into play, enabling GAP to integrate the execution of scheduled tests into repetitive processes that can be triggered as soon as we receive a new version of our application. This allows us to identify whether changes, improvements or new features have caused regressions. In our projects at GAP, we incorporate scheduled tests into the CI/CD process, adapting to the various tools used by our clients or suggesting the ones that best suit their needs.
Nowadays, mobile automation is growing at a fast pace; mobile apps dominate a large part of people’s day-to-day experiences. Thus, developing a great mobile app experience is essential. To ensure apps work seamlessly on Android and iOS, they must be thoroughly tested before getting released to their respective app stores. Using the right tools and implementing a good strategy that includes cloud services can reduce costs. Automation scripts can be created and planned to be executed with nightly builds, getting faster feedback from email reports with the results. It's worth emphasizing that QA automation testing for mobile devices can be employed across hybrid, native and mobile web applications using tools like Appium and webdriverIO.
Performance testing assists in evaluating an application's capacity to effectively manage increasing user loads, transactions and data volumes. An optimized application can help ensure a competitive position in the market. By employing appropriate tools such as JMeter, and implementing effective strategies as part of the QA automation services, various forms of performance testing can be executed, including:
- Load Testing
- Stress Testing
- Spike Testing
- Soak Testing
- Volume Testing
Through our QA automation services, we not only build QA automation testing solutions, but accompany our partners to select the correct tooling and get the most out of them. This includes uncovering bugs in a timely manner and providing security, confidence and reliability about the whole quality of the products before releases.
Through consulting projects — where our best and most experienced engineers engage with the clients to evaluate the maturity of their development life cycle, business needs and applications to be tested, among other needs — GAP provides recommendations about testing solutions covering everything, from processes and test management to QA automation testing frameworks, that fit the business needs and tech stack of the client.
Now is the Right Time to Build Automation into Your QA.
Automation testing offers many advantages, including:
- Regression Testing: Automation is particularly valuable for regression testing, ensuring new code changes do not break existing functionality.
- Consistency: Automated tests follow predefined steps consistently, reducing the chances of human error in testing.
- Parallel Testing: Automation allows for running tests in parallel, which can significantly reduce testing time for large projects.
- Continuous Integration and Continuous Delivery (CI/CD): Automated tests can be seamlessly integrated into CI/CD pipelines, enabling rapid and automated deployment of code changes.
- Improved Test Reporting: Automated testing tools often provide detailed reports and logs, making it easier to identify and debug issues.
- Resource Allocation: Manual testers can focus on exploratory testing and more complex scenarios, while repetitive and routine tests are automated.
Shift Left Testing
Addressing bugs in the later stages of the software development lifecycle (SDLC)Â incurs higher costs compared to resolving them in the early stages. Nowadays, Quality Assurance holds greater significance than ever before, underscoring the pivotal role that shift left testing plays in the SDLC.Â
Shift left testing is a collaborative team culture of quality consciousness and a process where integrating testing activities happen earlier in the SDLC in order to identify and prevent defects as soon as possible.
Testing practices have evolved, now often emphasizing prevention over correction. With shift left, we integrate testing processes early in the software lifecycle, including test-driven development, requirement analysis, API testing and integration. Contrary to the belief that increased testing incurs higher costs, shift left offers cost reduction by identifying and addressing issues early, preventing their escalation. Additionally, it saves time and minimizes the need for application redesign.
Applying shift left testing principles leads to different benefits such as:
-
- Saving cost on the development and testing process
- Delivering cleaner and high-quality code
- Increase efficiency in the software development process
- Delivered features more frequentlyÂ
- Increase Team confidence and credibility
Through shift left testing, your team can improve collaboration, get faster feedback, deliver frequently and provide higher-quality software products.
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- Early Involvement: Testing activities should begin early as possible. QA engineers should be involved from the requirements analysis phase to understand the scope.
- Collaboration and Communication: Effective communication across various departments guarantees alignment among all team members.
- Continuous Integration and Continuous Delivery: Getting faster feedback from automation tests is very important. Implementing CI/CD helps to make sure new code is not breaking existing functionalities.
- Test Automation: Start automation from the beginning phases and implement CI/CD alongside the development process to ensure defects early detection.
- Test-Driven Development: Implementing this guarantees every new piece of code is being tested by at least one test, assuring a robust code.
- Shift-Left Security Testing: Identify vulnerabilities, assess risks, define security requirements and formulate security testing strategies from the beginning.Â
- Exploratory Testing: Experienced testers can leverage this practice to identify potential scenarios, bugs or specific cases.
- Performance Testing: Applying good practices regarding performance can be used to optimize the application and services from the beginning, avoiding bottlenecks and scalability issues.
- Test Environments and Data: Test environments ought to mimic production servers, and the same applies to data to replicate the scenarios anticipated in production.
- Continuous Learning and Improvement: Work to foster communication, hold regular retrospective meetings and continually enhance the process.
Integrating automation tools into the testing process is crucial, benefiting not only developers, but also complementing each phase.
- Static code analysis tools
- Code review tools
- Test automation frameworks
- CI/CD tools
- Requirement or test management softwareÂ
- API testing tools
- Cloud and containerization technologies
- Performance testing tools and analysis
- Version control systems
- Communications tools
Shift left practices are expected to become even more integrated into the SDLC. The continuous advancement of AI and machine learning significantly impacts the emerging trends of shift left testing, optimizing tasks such as requirement and risk analysis, smarter test case creation, self-healing tests, visual validations and others. The future of shift left testing motivates us to persist in innovating and adjusting to meet the demands of the software development lifecycle.
If you have minimized or even eliminated QA by using the shift left philosophy, what blind spots did you miss? QAi is an advisory offering from GAP designed to shore up holes that may be left behind by using automation to maximize productivity. It can also be applicable for clients that have traditional QA and are looking to accelerate their progress on automation of their engineering pipeline.
Want additional information on QAi? Chat with a GAP engineering expert to learn more.
We help you use AI to make your company better
GAP AI-Driven QA Accelerators
Growth Acceleration Partners now has AI-Driven QA Accelerators to streamline and augment your software testing processes. By automating time-consuming tasks with generative AI, our platform boosts the performance of QA teams by improving efficiency.
More InfoWhy Choose GAP’s Team of QA Automation Engineers
We rely on a strong foundation of experienced QA engineers who have been integral members of our company for many years. They have refined their skills through diverse and challenging projects, working with various technologies across our wide-ranging portfolio and conducting testing at multiple levels.
48% of our engineers have at least the Foundation ISTQB certification, which ensures the quality of the job we do is standard throughout the company. But we also have engineers with advanced-level certifications in automation testing and test management, such as the Test Automation Engineer, Test Analyst and Test Manager certifications.
Through our QA Center of Excellence, GAP provides continuous growth opportunities. This initiative includes imparting automation via testing bootcamps, QA-related festivals and study groups to help our GAPsters get certifications. And in general, it provides the means for our engineers to continue learning, while at the same time working together and applying this knowledge into challenging projects.
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