Practitioners' expectations on automated fault localization

By Pavneet Singh Kochhar, Xin Xia, David Lo, Shanping Li. International Symposium on Software Testing and Analysis, 2016

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Evaluating and Improving Fault Localization (2017, background): “This is relevant because a recent study [24] showed that 98% of practitioners consider a fault localization technique to be useful only if it reports the defective statement(s) within the top-10 of the suspiciousness ranking.”
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction (2022, background): “On the other hand, it is imprudent to present all generated FIB tests to developers, as asking developers to iterate over multiple solutions is generally undesirable [23], [24].”
Smart Contract Development: Challenges and Opportunities (2021, methodology): “Following prior studies [89], [80], we considered the following demographic groups:”