Software regression testing
Why go for application regression testing?
By introducing regression testing at the initial SDLC stages, you can:
- Detect bugs early on to save time and costs on fixing them and get feedback right away
- Ensure flawless performance of business-critical features
- Reduce pre-release testing time to accelerate time to market
- Get the results as fast as possible with automated testing
- Reap the benefits of a continuous integration setup to automate the regression test run for each build
Why choose regression testing with a1qa?
Alignment with your business goals
We consider all the project variables to make the test volume as precise as possible in line with your software specifics and business needs.
Mix and match methods for sufficient test coverage
Our QA specialists are proficient in combining different methods for regression testing, introducing test automation, and applying the requirement traceability matrix, risk-based approach, and code changes review to achieve better results.
20+ years of testing track record
Our long-running experience in providing regression testing services allows us to view your project from multiple perspectives, taking what works best out of our extensive toolsets and skills.
All the tech included
Whether it’s a Salesforce business application, a Java mobile app, a Python-based API, or multi-app solutions, we have required knowledge for its regression testing, ensuring that no changes in code disrupt existing functionality.
Why we prefer automated regression testing services
Continuous testing
To be more effective and ensure the created solution’s stability, regression tests need to be executed throughout the development process. Automated regression testing is superior to manual methods in this regard.
Parallel execution
Automated regression tests running in the background can help get feedback on both basic bug fixes and more complex amendments, such as database updates. This involves continuously verifying that the software is working as expected across critical paths. Parallel test execution reduces the time to results from several days to a couple of hours.
Efficiency
Our test automation frameworks allow for shorter regression software testing cycles, freeing up testers’ time to dive into non-standard cases.
How we perform software regression testing
-
Discover
Our dedicated quality architect and technical consultant will contact you to outline your business goals and project scope.
-
Estimate
We come with the regression testing roadmap for your project, taking into account the functional scope, the expected depth of software testing, and deadlines.
-
Execute
Using the best-matching tools and methods, we perform meticulous testing of your software, sending you detailed feedback every step of the way.
-
Report
You will receive comprehensive documentation and quality reports with clear results of our software regression testing activities as well as recommendations for improvement to get in sync with your development team.
Frequently asked questions
Regression testing helps validate that recent code changes haven’t disrupted existing functionality. It includes verifying bug fixes, ensuring system stability, and validating software’s performance across web, mobile, and desktop platforms. Both manual and automated methods can be used depending on the project scope.
Regression testing needs to be performed throughout the software development lifecycle. It can be run continuously or executed as a one-time activity after large-scale code changes. Compared to manual regression testing, automated testing enables quick feedback during every build.
The process includes four steps: discovering business goals and testing scope, estimating testing volume, executing tests using appropriate tools, and delivering detailed documentation and improvement recommendations.
We focus on vital business features, code parts often impacted by updates, and previous defect trends. This generally involves primary user journeys, high-stakes modules, and any functionality that had a history of stability issues in the past. Thus, we confirm that essential services stay reliable while ensuring that the test suite remains lean and easy to manage.
The regression testing timeline is determined by the application’s complexity, testing scope, and automation framework. Small-scale projects can take several hours, while extensive enterprise systems may need several days. We rely on AI-driven test automation and smart prioritization to maintain the fastest and most effective regression cycles.
In this case, we recommend stopping the rollout and fixing the issues ASAP. Following the fixes, precise re-testing and regression passes should be conducted to guarantee system reliability. The concluding decision should always be based on product quality that should take priority over meeting a specific deadline.
It can operate in tandem with ongoing feature development, mostly through the use of automated scripts and CI/CD tools. This allows for checking existing features while active development moves forward. In a real-world setting, planning is essential for organizing shared resources and keeping test suites running smoothly.
We look at the services changed instead of re-running every available test. Using automation and CI/CD tools, we launch specific regression tests while maintaining a foundation of checks for core system workflows.
A regression testing suite consists of specific cases that ensure that current operations remain intact after software undergoes development changes. It evolves alongside the project through constant reviews, additions, or deletions of tests driven by new requirements and historical failure data.
Our approach concentrates on scheduling tests by assessing the chance and severity of potential system glitches. QA team reviews factors like new code commits, core user workflows, and past defect information to determine which areas are most vulnerable.