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On the search for industry-relevant regression testing research
Blekinge Institute of Technology, Karlskrona, Sweden.ORCID-id: 0000-0001-7266-5632
Lund University, Lund, Sweden.ORCID-id: 0000-0001-6736-9425
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID-id: 0000-0002-0838-928X
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES). University Leicester, Leicester, United Kingdom.ORCID-id: 0000-0002-4869-6794
Vise andre og tillknytning
2019 (engelsk)Inngår i: Journal of Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616, Vol. 24, nr 4, s. 2020-2055Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Regression testing is a means to assure that a change in the software, or its execution environment, does not introduce new defects. It involves the expensive undertaking of rerunning test cases. Several techniques have been proposed to reduce the number of test cases to execute in regression testing, however, there is no research on how to assess industrial relevance and applicability of such techniques. We conducted a systematic literature review with the following two goals: firstly, to enable researchers to design and present regression testing research with a focus on industrial relevance and applicability and secondly, to facilitate the industrial adoption of such research by addressing the attributes of concern from the practitioners' perspective. Using a reference-based search approach, we identified 1068 papers on regression testing. We then reduced the scope to only include papers with explicit discussions about relevance and applicability (i.e. mainly studies involving industrial stakeholders). Uniquely in this literature review, practitioners were consulted at several steps to increase the likelihood of achieving our aim of identifying factors important for relevance and applicability. We have summarised the results of these consultations and an analysis of the literature in three taxonomies, which capture aspects of industrial-relevance regarding the regression testing techniques. Based on these taxonomies, we mapped 38 papers reporting the evaluation of 26 regression testing techniques in industrial settings. © The Author(s) 2019

sted, utgiver, år, opplag, sider
New York, NY: Springer, 2019. Vol. 24, nr 4, s. 2020-2055
Emneord [en]
Regression testing, Industrial relevance, Systematic literature review, Taxonomy, Recommendations
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-41451DOI: 10.1007/s10664-018-9670-1ISI: 000477582700010Scopus ID: 2-s2.0-85061506841OAI: oai:DiVA.org:hh-41451DiVA, id: diva2:1390233
Forskningsfinansiär
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish Research Council, 621-2014-5057Knowledge Foundation, 20140312
Merknad

Other funder: EASE, the Industrial Excellence Centre for Embedded Applications Software Engineering.

Tilgjengelig fra: 2020-01-31 Laget: 2020-01-31 Sist oppdatert: 2020-05-06bibliografisk kontrollert

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