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Sökning: onr:"swepub:oai:lup.lub.lu.se:18d9fd5e-f5cf-4349-be27-bdf8b7b02414" > On the search for i...

On the search for industry-relevant regression testing research

Ali, Nauman Bin (författare)
Blekinge Institute of Technology
Engström, Emelie (författare)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH,Lund University, SWE,Lund University, Lund, Sweden
Taromirad, Masoumeh (författare)
Högskolan i Halmstad,Halmstad University,Halmstad University, SWE,Halmstad Embedded and Intelligent Systems Research (EIS)
visa fler...
Mousavi, Mohammad (författare)
Halmstad University,University of Leicester
Minhas, Nasir Mehmood (författare)
Blekinge Tekniska Högskola,Blekinge Institute of Technology,Institutionen för programvaruteknik,Blekinge Institute of Technology, Karlskrona, Sweden
Helgesson, Daniel (författare)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH,Lund University, SWE,Lund University, Lund, Sweden
Kunze, Sebastian (författare)
Högskolan i Halmstad,Halmstad University,Halmstad University, SWE,Halmstad Embedded and Intelligent Systems Research (EIS)
Varshoaz, Mahsa (författare)
Halmstad University
Ali, Nauman bin (författare)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
Varshosaz, Mahsa (författare)
Högskolan i Halmstad,Centrum för forskning om inbyggda system (CERES)
Mousavi, Muhammad Raza (författare)
Halmstad University, SWE
Mousavi, Mohammad Reza, 1978- (författare)
Högskolan i Halmstad,Centrum för forskning om inbyggda system (CERES),University Leicester, Leicester, United Kingdom
Bin Ali, Nauman (författare)
Blekinge Institute of Technology, Karlskrona, Sweden
visa färre...
 (creator_code:org_t)
New York, NY : Springer, 2019-02-12
Engelska.
Ingår i: Empirical Software Engineering. - New York, NY : Springer. - 1573-7616 .- 1382-3256. ; 24:4, s. 2020-2055
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (Datateknik) -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Science -- Software Engineering (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap (Datateknik) (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Nyckelord

Regression testing
Industrial relevance
Systematic literature review
Taxonomy
Recommendations
Industrial relevance

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