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Over the last decade, Q&A platforms have played a crucial role in howprogrammers seek help online. The emergence of ChatGPT, however, is causing ashift in this pattern. Despite ChatGPT's popularity, there hasn't been athorough investigation into the quality and usability of its responses tosoftware engineering queries. To address this gap, we undertook a comprehensiveanalysis of ChatGPT's replies to 517 questions from Stack Overflow (SO). Weassessed the correctness, consistency, comprehensiveness, and conciseness ofthese responses. Additionally, we conducted an extensive linguistic analysisand a user study to gain insights into the linguistic and human aspects ofChatGPT's answers. Our examination revealed that 52% of ChatGPT's answerscontain inaccuracies and 77% are verbose. Nevertheless, users still preferChatGPT's responses 39.34% of the time due to their comprehensiveness andarticulate language style. These findings underscore the need for meticulouserror correction in ChatGPT while also raising awareness among users about thepotential risks associated with seemingly accurate answers.

Who Answers It Better? An In-Depth Analysis of ChatGPT and Stack Overflow Answers to Software Engineering Questions