It is a crucial point in the software development process when you want to ensure that your system meets business requirements and is ready to be delivered to customers. It is the last phase of testing done after unit, integration, and system testing.
Testing acceptance Acceptance testing is a type of testing in which a system is tested in order to determine whether or not it satisfies the acceptance criteria and to enable the customer to determine whether or not to accept the system.
Once Everything has passed acceptance tests, it can be handed over to the Stakeholders or put into a Productive environment. Ideally, acceptance testing is done in an environment similar to the production environment.
Integration testing is about business, risk, contract and user, while acceptance testing is about user and scenarios. This kind of test is usually done as black box testing from the user/mechanic point of view. In the first step, the requirements are translated into test scenarios or use cases being validated in acceptance testing.
If a product passes acceptance tests, then it has the features, looks and behaves the way it is supposed to. In an agile setup, a testing scenario can be split into multiple user stories. Some user stories can be done right in this sprint, the other – in the following sprints.
This results in acceptance testing failing at the end of the sprint because many scenarios have not been implemented. That means you have to re-run the same acceptance acceptance story, which makes acceptance testing not a very fun process.
There are two types of acceptance testing:
- Internal Acceptance Testing
- External Acceptance Testing
Alpha Testing
Internal acceptance testing belonging to a different testing team in the organization, usually in a development or testing environment. When the testing process finishes, bugs are found, and there is a review process among developers to fix them and release a new version. Beta testing or user acceptance test, is the final phase of testing in software development, and it involves external users of the system.
Acceptance testing, being an iterative activity, has already been described as such. Test cases are written and run against the present builds. Some will pass some may fail; these are the ones which are not developed.
To enhance the test cycle, acceptance criteria could be automated and included in the CI/CD pipeline. This helps in decreasing wasteful or duplicate work, the manual QA would not have to run the same scenarios after each sprint over and over again. It also gives the manual team some room for other kinds of test, likes smoke or exploratory.
Other teams may be involved in the acceptance testing, such as project managers, business users, management, sales, etc. The most common development practice in various domains is Acceptance Test Driven Development (ATDD) in the spirit of Behavior-Driven Development (BDD).
In ATDD: Each new use case will be discussed, and acceptance criteria will be introduced by the business owners, project managers, developers, and testers. BDD scripts are developed and evaluated on the basis of these conditions. If a script run fails, then developers will create a new script for the failed feature file/user story and re-run it. This repeats during each sprint cycle.
Keep in mind, acceptance testing is a process involving non-technical members of the team, so you want to steer clear of creating tests in arcane automation tools such as Selenium. It may be cumbersome to implement the infrastructure and framework needed to use the tools, which may slow things down.
Back in the day when Selenium was more prevalent, our QA team was always at least 1 sprint behind since it took them so long to write all those automation scripts. The budget and time to finish scenarios were also high, which reduced the quality of scenarios more than anticipated.
Selenium scripts # If the number of test cases are on higher side then the Selenium can become complex by creating long running functions and scripts. A slight modification in one function can lead to failure in other test cases.
So, as a result, over time, the automation team gets more and more frustrated with just, and we’ve seen clients that they literally even end up with multiple silos of their same framework for different types of automation.
CrossFit Legacy are hardly a footnote in comparison to how easily new solutions can be set up that are even faster and better quality, thanks to no-code and low-code alternatives. testRigor is one such tool that helps have their test scripts written in plain English.
Advanced AI technology is capturing automatically all possible locators. Then you can use those locators as the way you see the element from a human perspective (doi click on the “Add to cart” button). The whole of the automated test becomes an executable specification, making the test writing (for whoever would like to add or modify it) available to the whole team: the business people, the product managers and the like.
With testRigor for acceptance testing automation, we save hours and days of work; it comes with BDD out of the box, brings together teams, and the progress of the project is visible”. This tool is based in the cloud, so you don’t have to worry about server setup and maintenance at all.
Well then, how do you automate acceptance testing with testRigor? Start by finding out the meaning of acceptance testing scenarios and describing it in plain English test steps, just like for a manual test case.
You don’t have to provide any locators so you can write tests before so, before any functionality even exists. Any particular test should pass when it’s fixed on an environment you test against.
Conducting the acceptance scenarios takes too long time and is too costly since the market strategy today is first to the market. In order to do so, testRigor really helps to keep quality and time on track.
FAQs About Automate Acceptance Testing
Why should I automate acceptance tests?
Automation saves time, reduces human error, ensures consistency, and allows for faster feedback. It’s especially beneficial for large or frequently updated applications.
What tools are commonly used for automated acceptance testing?
Popular tools include:
- Selenium
- Cypress
- Cucumber
- TestCafe
- Robot Framework
- Playwright
How is acceptance testing different from unit or integration testing?
Acceptance testing verifies the entire system from a user’s perspective, ensuring it meets business needs. Unit tests focus on individual components, while integration tests check data flow between components.
Can acceptance tests be part of CI/CD pipelines?
Yes, automated acceptance tests are often integrated into CI/CD pipelines to ensure code changes meet functional requirements before deployment.
Who writes automated acceptance tests?
Typically, QA engineers, test automation engineers, or developers write these tests. Sometimes, business analysts contribute by defining acceptance criteria in tools like Cucumber.
How do I decide what to automate in acceptance testing?
Automate repetitive, high-risk, high-value scenarios that are stable and frequently used. Avoid automating areas that change frequently or require subjective evaluation.
How long does it take to implement acceptance test automation?
The timeline varies depending on project complexity, test coverage, and available resources. Initial setup can take time, but long-term benefits outweigh the upfront investment.
What are some challenges of automating acceptance tests?
Common challenges include:
- Test flakiness due to UI changes
- High maintenance for unstable applications
- Learning curves for new tools
- Lack of collaboration between teams
Is automated acceptance testing suitable for all projects?
Not always. Small projects with minimal changes might not benefit as much. Automation is most valuable in medium to large projects with ongoing development and frequent releases.
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