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Joined Feb 2017
Twitter: @ChrisChinch
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Monitoring and Observability
Software Usage Analytics for Data-Driven Development
Automated Testing
The broader rise in automation has paved the way for advanced capabilities and time savings for developers and tech professionals, especially when it comes to testing. There are increasingly more conversations around how to transition tests to an automated cadence as well as a deeper push toward better automated testing integration throughout the SDLC. Solutions such as artificial intelligence (AI) and low code play an important role in implementing tests for development and testing teams, expanding test coverage and eliminating time spent on redundant tasks. It's a win-win-win.In DZone's 2023 Automated Testing Trend Report, we further assess current trends related to automated testing, covering everything from architecture and test-driven development to observed benefits of AI and low-code tools. The question is no longer should we automate tests; it's how do we better automate tests and integrate them throughout CI/CD pipelines to ensure high degrees of test coverage? This question will be examined through our original research, expert articles from DZone Community members, and other insightful resources.As part of our December 2023 re-launch, we've added updates to the Solutions Directory and more.
Comments
Feb 16, 2018 · Chris Ward
You can always rely on an article about better writing to have a mistake!
Corrected…
Mar 07, 2017 · Jordan Baker
Great post Mike! I would add one further comment. There are also people who have no motivation or enthusiasm for particular tasks.
Mar 03, 2017 · Athanassios I. Hatzis, PhD
Thanks for this, I've heard a lot about Graph databases without ever really understanding them!