Quality Assurance Survey Article
This week I decided to look up what was going on in the news for software quality assurance. I found this article about a survey on the future of quality assurance and found it interesting. The headline was more specifically about the adoption of A.I. in software testing. I have already covered some of the potential benefits of the use of A.I. in software testing, so consider this to be a follow up to that. Keep in mind this article was written back in December of 2023, so things could have potentially changed in that time.
The title of this article states that over 78% of software testers have adopted A.I. into their testing. This kind of comes as no surprise since people have been gushing about the new burgeoning technology for a while now. The tech industry has made a big effort to adopt A.I. into as many different fields as possible. The automation of test cases is not a new subject, but the use of A.I. is a fairly recent addition to the tools testers have at their disposal. These tools are being implemented in different sections of the quality assurance process, with an adoption rate of 51% for test data creation,45% for test automation, 36% for test result analysis, and 46% for test case formulation. And like I said before, these are the numbers the end of 2023, who knows what the current numbers are.
On a side note, the article says that software testers are being involved much earlier in the development process. This ties in directly with what I have been learning in class for the past two semesters about sprint planning. Having testers be there in the sprint planning phase allows to get the specifications for the test cases earlier than before, but could lead to test cases without implemented code.
All of this data comes from a survey into the future of quality assurance by Lambda Test. Some other interesting figures from the survey include numbers on quality assurance budget and the ratio of QA testers to developers. Companies, both big and small, seem to see quality assurance as a valuable part of the software development process, and invest accordingly. Interestingly, there is also data on the state of testing itself, with a particularly interesting note about the benchmark for bug identification being around 10%.
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