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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

Analyzing software engineering experiments : everything you always wanted to know but were afraid to ask

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Author: Juristo, Natalia1,2; Vegas, Sira1
Organizations: 1Escuela Técnica Superior de Ingenieros Informáticos Universidad Politécnica de Madrid, Spain
2M-Group Department of Information Processing Science University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202003208602
Language: English
Published: Association for Computing Machinery, 2017
Publish Date: 2020-03-20
Description:

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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ISBN Print: 978-1-4503-4205-6
Pages: 900 - 901
DOI: 10.1145/2889160.2891054
OADOI: https://oadoi.org/10.1145/2889160.2891054
Host publication: ICSE '16 Proceedings of the 38th International Conference on Software Engineering Companion
Conference: International Conference on Software Engineering
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Software Engineering experimentation
analysis of experiments
controlled experiments
Article
Copyright information: © 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.