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Test automation frameworks are basically recipes for how to build automated test cases. They include guidelines for testers on how they should do their job. The problem is, these frameworks don’t always work, as they tend to complicate test automation more than necessary.
When QA teams prepare for an implementation of test automation, it often involves research on how to build automation frameworks and then trying to adopt these practices to the specific business-setting.
It’s easy to be discouraged already in the research phase. Concepts like ‘scaffolding’, ‘coding standards’, and ‘meta-programming’ don’t necessarily help testers define guidelines for their daily work.
The idea of a test automation framework rests on great intentions. They exist, at least in theory, to ensure benefits of automation, such as: Re-usability of code, higher coverage, low-cost maintenance, and easy reporting.
However, when reality hits, frameworks don’t really work. Here are 4 reasons why:
A test automation framework is often supposed to support current and future software releases, but in reality, it’s impossible to match the pace of a development team, who produce new code continuously.
The problem is that it takes a lot of time to implement code-based tests along with changes in the framework, and during sprints, there’s no time to implement automation while also taking care of testing.
What usually happens is that, over time, testers come up with short-term fixes to the framework, which inevitably leads to frameworks starting to fall apart. And without a solid foundation, test cases stop working too.
Centers of Excellence are then tasked with developing a “better, more robust, and future-proof” framework using a new technology – probably headed for the same disastrous end as the previous one.
It easily takes a year for a Center of Excellence to develop a first attempt at a framework. In the meantime, organizational conditions might have changed. For example: Major overhauls of the system under test and changes to the software release pipeline.
There’s no way that you can program a framework that is flexible and adaptive enough to prepare for all these factors.
Script-based frameworks require development and maintenance. Skilled test automaton specialists who are also great at professional-level programming are difficult to find.
This means QA teams can do one of two things: Either rely on costly developer resources, whose primary responsibilities lie elsewhere, or assign the task to (technical) testers who don’t have years of programmer experience, which would take time away from testers’ most important task: testing!
Custom automation frameworks are usually project-specific and not geared for handling different types of applications.
Most test automation frameworks are usually built for just one of the following application types: Web, desktop, or virtual, which doesn’t allow testers to use the same framework to test different applications across the organization.
Frameworks are often introduced by a single person in the organization, and they evolve around that same person as well.
This means that frameworks are often incomplete and difficult to understand for other people who need to work with them. When the inventor of a custom framework changes jobs or leaves the organization for other reasons, the framework is at risk of dying due to lack of proper hand-over, the use of sub-standard coding practices, and difficulties of deciphering the automated processes through code.
A testing tool is for the tester, what the spreadsheet application is for the finance manager. Does the finance manager in your organization ask programmers to write a script for how to work with her spreadsheet? Does she go through a long checklist each time she creates a new spreadsheet? Probably not.
Preferably, the tools you work with are designed in such a way that, by performing standard tasks and procedures in those tools, you are implicitly following best practices inherent to the application.
Automation frameworks are paradoxical: They are intended to hide code and complexity from the tester, but they still dictate that the tester should code. It takes another layer of abstraction to completely hide unnecessary complexity.
Codeless UI automation enables a level of agility that frameworks don’t. When all members of a QA team can take ownership of and collaborate on test automation, testing becomes agile and can match the pace of development. The maintenance workload of automated tests built with codeless UI automation is only a fraction of the workload related to script-based tests.
Here are 7 reasons why you can benefit from using codeless test automation instead of automation frameworks:
Read more about the 7 benefits of codeless test automation here.
It requires a codeless UI automation solution, like the Leapwork Automation Platform, to see the above benefits. Leapwork's no-code platform enables users to:
Read our whitepaper: Test Automation: The Codeless Answer to learn more challenges in test automation and how to overcome them.
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