Analyzing software engineering experiments : everything you always wanted to know but were afraid to ask
Juristo, Natalia; Vegas, Sira (2016-05-02)
Natalia Juristo and Sira Vegas. 2016. Analyzing software engineering experiments: everything you always wanted to know but were afraid to ask. In Proceedings of the 38th International Conference on Software Engineering Companion (ICSE ’16). Association for Computing Machinery, New York, NY, USA, 900–901. DOI:https://doi.org/10.1145/2889160.2891054
© 2016 ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ICSE '16 Proceedings of the 38th International Conference on Software Engineering Companion, https://doi.org/10.1145/2889160.2891054.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe202003208602
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Abstract
Experimentation is a key issue in science and engineering. But it is one of software engineering’s stumbling blocks. Quite a lot of experiments are run nowadays, but it is a risky business. Software engineering has some special features, leading to some experimentation issues being conceived of differently than in other disciplines. The aim of this technical briefing is to help participants to avoid common pitfalls when analyzing the results of software engineering experiments. The technical briefing is not intended as a data analysis course, because there is already plenty of literature on this subject. It reviews several issues that we have identified in published SE experiments.
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