The software testing life cycle in 2021: A more upbeat outlook
Blog post from GitLab
The 2022 Global DevSecOps Survey, gathering insights from over 5,000 DevOps professionals, highlights ongoing challenges and advancements in the software testing life cycle within DevOps. Testing has consistently been identified as the primary cause for release delays, with participants citing issues such as slow writing and execution, insufficient automation, and delegation to QA personnel causing bottlenecks. However, the survey also reveals a growing trend towards automation, with nearly 25% of respondents achieving full test automation, and 28% at least halfway there. Changes in DevOps roles show an increase in developers testing their own code, yet many still recognize the need for further testing improvements. The rise of artificial intelligence and machine learning offers a promising future for testing, as 41% of respondents now utilize bots and AI/ML for code testing and review, a significant increase from the previous year. Despite the progress, a quarter of respondents have yet to adopt AI/ML in their testing processes.
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