Description: Do Large Language Models represent the end of testing as we know it? Are testers doomed to extinction? Or is ChatGPT this year’s Watson, non-fungible tokens, or Metaverse?
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Fear not, Dear Testers: testing is not going away. As long as there is new technology, there will be product risk that leads to business risk. Responsible organizations will want to know about problems that matter before it’s too late.
Discovering those problems requires far more than providing input to a product and demonstrating that it produces some desirable output. Avoiding unpleasant surprises requires skilled, technically and socially competent investigators, performing experiments to reveal truths about software products and their problems.
Join us as Michael Bolton looks at the current state of Large Language Models, and how they relate to testing – and how serious testers need not fear the future.
Presenter’s Bio: Michael Bolton is a consulting software tester and testing teacher who helps people to solve testing problems that they didn’t realize they could solve. In 2006, he became co-author (with James Bach) of Rapid Software Testing (RST), a methodology and mindset for testing software expertly and credibly in uncertain conditions and under extreme time pressure. Since then, he has flown over a million miles to teach RST in 35 countries on six continents. Michael has over 30 years of experience testing, developing, managing, and writing about software. For over 20 years, he has led DevelopSense, a Toronto-based testing and development consultancy. Prior to that, he was with Quarterdeck Corporation for eight years, during which he managed the company’s flagship products and directed project and testing teams both in-house and around the world. Contact Michael at michael@developsense.com, on Twitter @michaelbolton, or through his Web site, http://www.developsense.com.
