Test Automation: Ship every release with confidence.
We set up automation suites that test your web, mobile and API layers end to end, and connect those tests to your software delivery pipeline.
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Test AutomationIllustrative interface, sample data
In short
Software test automation verifies an application's behavior across its web, mobile and API layers with automated test scenarios that run after every code change, instead of manual checks. CoreTechs sets up your test strategy, writes automated test suites for critical user flows and APIs, and connects them to your CI/CD pipeline. Every release is then tested with the same coverage before it ships, and the results are visible in a report.
Scope
Scope
- Test strategy
- Functional and regression testing
- End-to-end user scenarios
- API testing
- Load and performance testing
- CI/CD integration
Deliverables
- Automated test suite
- Test report for every release
- Defect tracking process
Who is it for?
- Product teams that repeat the same manual tests for days before every release and cannot ship more often as a result
- Companies that learn about regressions, features that used to work and broke, from user complaints
- Architectures where several systems talk through APIs and integration bugs only show up in production
- E-commerce and finance teams that need to know how their system behaves under load before campaigns or seasonal peaks
- Teams that started test automation but lost confidence in it because of flaky, hard-to-maintain tests
- Organizations that want independent verification of software built by a third party before accepting delivery
How we work
Current state and test strategy
We review your application, release process and past bugs, and write a test strategy that sets how much each layer (unit, API, UI, load) will be tested.
Selecting critical scenarios
We prioritize the user flows and API endpoints that matter most to the business, automating first the flows where a bug would be most expensive.
Setting up the test infrastructure
We set up the test framework, test data management and test environments, and write tests in a readable, maintainable structure.
Building test suites
We write functional, regression, end-to-end and API tests in two-week sprints and share coverage and results at the end of each one. Load and performance tests are added where needed.
CI/CD integration and reporting
We connect the tests to your CI/CD pipeline so they run on every code change or before every release, and feed results into clear reports and your bug tracking process.
Maintenance and expanding coverage
As the application changes, we update tests, fix flaky ones and add new features to the test scope.
How long does it take?
The timeline depends on the number of applications and platforms to test, the number of critical flows, whether test environments and test data are ready, and your existing CI/CD setup. Test automation is not a one-off job but coverage that starts with priority flows and grows. After a free 30-minute intro call we usually start discovery within a week, and confirm the exact timeline in the proposal that follows discovery.
Phases
- Intro callA free 30-minute call to discuss your release process and the quality issues you face.
- Discovery and strategyCurrent state analysis, test strategy and a prioritized scenario list.
- Fixed proposalScope, timeline and price, in writing.
- DevelopmentTest suites in two-week sprints, with working tests and a report at the end of each.
- Handover and continuityCI/CD integration, team training, transfer of source code and intellectual property; optional maintenance.
What drives the cost?
Test automation cost covers setup and the first test suites, plus maintaining tests as the application changes. Starting with priority flows puts the investment where it prevents the most bugs.
| Factor | Effect on cost |
|---|---|
| Number of platforms | Testing web only, web and mobile, or several mobile platforms directly affects tools, devices and scenario count. |
| Number and complexity of scenarios | Complex scenarios such as payments, approval flows or multi-step transactions need more test data and setup. |
| Test environment and test data | If there is no stable test environment and reproducible test data, preparing them is added to the scope. |
| Integrations and external services | Flows that depend on payment, shipping or third-party APIs need mocks and contract tests. |
| Load and performance testing | Realistic load scenarios, measurement and reporting are a separate workstream. |
| State of your CI/CD setup | With an existing pipeline, tests are connected quickly; without one, building the pipeline is part of the scope. |
| Pace of application change | Products whose UI changes often need more regular test maintenance. |
Technology options
Web UI testing
- Playwright
- Selenium
- Cypress
Mobile testing
- Appium
- Detox
- Real device and emulator testing
API testing
- Postman
- REST Assured
- Contract testing
Load and performance
- k6
- JMeter
CI/CD and reporting
- GitHub Actions
- GitLab CI
- Azure DevOps
- Jenkins
- Test reports and bug tracker integration
Example solution scenario
Regression and API test automation for an e-commerce platform
Representative scenario, not a real client project.
- Profile
- An e-commerce company that releases frequently, with a website and mobile app sharing the same services.
- Need
- Cart, checkout and returns flows were tested manually before every release. Testing time limited how often the team could ship, and some integration bugs still only surfaced in production.
- Approach
- We reviewed past bug reports to prioritize the flows that broke most often and mattered most to the business.
- We built API test automation for the cart, payment, returns and inventory services, mocking the payment provider in the test environment.
- We automated critical web user flows with end-to-end tests.
- We connected the tests to the CI/CD pipeline so API tests run on every change and the full suite runs before each release.
- We prepared load test scenarios to run ahead of campaign periods.
- Technologies
- Playwright
- Postman
- k6
- GitHub Actions
- Bug tracker integration
- Outcome
- Pre-release testing went from a task that took the team days to an automated step. Integration bugs are now caught as soon as code changes, and the team makes release decisions with more confidence.
Frequently asked questions
Does it make sense to automate every test?
No. Tests that are frequent, clearly defined and business-critical are the best fit for automation. Exploratory testing, usability reviews and rarely changing edge cases still benefit from manual testing. We set this balance together in the test strategy.
Why does API test automation matter?
API tests run faster than UI tests, are less brittle and catch bugs earlier. Where web and mobile apps share the same services, testing the API layer protects every channel at once.
Which tools do you use?
We use Playwright and Selenium for web, Appium for mobile, Postman and code-based frameworks for APIs, and k6 and JMeter for load testing. We choose based on your application's technology, your team's skills and your existing CI/CD setup.
Can it connect to our existing CI/CD pipeline and bug tracker?
Yes. We connect tests to pipelines such as GitHub Actions, GitLab CI, Azure DevOps or Jenkins and send results to the bug tracker your team already uses. If you have no pipeline, we can set one up.
Is real customer data used in tests?
We recommend against it. We prepare anonymized or synthetic test data and mock external services such as payments in the test environment. This is safer for data protection and keeps tests reproducible.
What do cost and timeline depend on?
Key factors are the number of platforms, the number and complexity of scenarios, the state of the test environment, load testing needs and your existing CI/CD setup. We usually start discovery within a week of the intro call and confirm a fixed timeline and price in writing after discovery.
Who maintains the tests as the application changes?
We write tests in a readable structure your team can maintain and hand them over with training. If you prefer, we can take on test maintenance and expanding coverage under an SLA-backed support package.
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