Empirical Standards for Software Engineering Research
Software Engineering
2021-03-05 v2 General Literature
Abstract
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.
Cite
@article{arxiv.2010.03525,
title = {Empirical Standards for Software Engineering Research},
author = {Paul Ralph and Nauman bin Ali and Sebastian Baltes and Domenico Bianculli and Jessica Diaz and Yvonne Dittrich and Neil Ernst and Michael Felderer and Robert Feldt and Antonio Filieri and Breno Bernard Nicolau de França and Carlo Alberto Furia and Greg Gay and Nicolas Gold and Daniel Graziotin and Pinjia He and Rashina Hoda and Natalia Juristo and Barbara Kitchenham and Valentina Lenarduzzi and Jorge Martínez and Jorge Melegati and Daniel Mendez and Tim Menzies and Jefferson Molleri and Dietmar Pfahl and Romain Robbes and Daniel Russo and Nyyti Saarimäki and Federica Sarro and Davide Taibi and Janet Siegmund and Diomidis Spinellis and Miroslaw Staron and Klaas Stol and Margaret-Anne Storey and Davide Taibi and Damian Tamburri and Marco Torchiano and Christoph Treude and Burak Turhan and Xiaofeng Wang and Sira Vegas},
journal= {arXiv preprint arXiv:2010.03525},
year = {2021}
}
Comments
For the complete standards, supplements and other resources, see https://github.com/acmsigsoft/EmpiricalStandards