What are the topmost challenges for QA automation?
Following are a few key challenges found in the QA automation process: 1. Data related issues: There can be scenarios wherein testing teams can test against wrong data, as there can be situations wherein the right data would be a bit difficult to obtain. Data accuracy and data relevancy are the two key criteri a for automated testing to provide good results. Communication gaps and complicated processes also prevent the teams from obtaining the most relevant and updated data. 2. Code smell needs to be fixed: Any specific characteristic in the code that might impact the design code negatively is considered to be a code smell. It is not only important for the programmers to maintain code quality, but also, for the testers. When a code smell is fixed by the QA team, the following aspects can be achieved: l Test results are executed faster in minimal execution time l The automation test suite is made more robust l The effort and m...