Empirical Standards for Software Engineering Research

Paul Ralph,Nauman bin Ali,Sebastian Baltes,Domenico Bianculli,Jessica Díaz,Yvonne Dittrich,Neil A. Ernst,Michael Felderer, Robert Feldt, Antonio Filieri, Breno Bernard Nicolau de França, Carlo A. Furia, Nicolas Gold,Daniel Graziotin, Pinjia He, Rashina Hoda, Natália Juristo, Barbara Kitchenham, Valentina Lenarduzzi, Jorge Martínez,Jorge Melegati, Daniel Rubio Méndez, Tim Menzies, Jefferson Seide Molléri,Dietmar Pfahl, Romain Robbes, Daniel Russo, Nyyti Saarimäki, Federica Sarro, Davide Taibi, Janet Siegmund, Diomidis Spinellis, Miroslaw Staron, Klaas-Jan Stol, Margaret-Anne Storey, Damian A. Tamburri, Marco Torchiano, Christoph Treude, Burak Turhan,Xiaofeng Wang, Sira Vegas

user-5f1f7d444c775e3a796188dc(2020)

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摘要
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e.g. a questionnaire survey). The ACM SIGSOFT Paper and Peer Review Quality Initiative generated empirical standards for research methods commonly used in software engineering. These living documents, which should be continuously revised to reflect evolving consensus around research best practices, will improve research quality and make peer review more effective, reliable, transparent and fair.
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关键词
standards,software,research,engineering
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