Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.14076/3332
Title: | 15 Years of Software Regression Testing Techniques - A Survey |
Authors: | Rosero, Raúl H. Gómez, Omar S. Rodríguez, Glen |
Keywords: | Software regression testing;Minimization;Selection;Prioritization;Optimization |
Issue Date: | Jul-2016 |
Publisher: | World Scientific Publishing Co. Pte Ltd |
Related URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84977494600&doi=10.1142%2fS0218194016300013&partnerID=40&md5=9d6ef1eda76a7666a464b02423e0b351 |
Abstract: | Software regression testing techniques verify previous functionalities each time software modifications occur or new characteristics are added. With the aim of gaining a better understanding of this subject, in this work we present a survey of software regression testing techniques applied in the last 15 years; taking into account its application domain, kind of metrics they use, its application strategies and the phase of the software development process where they are applied. From an outcome of 460 papers, a set of 25 papers describing the use of 31 software testing regression techniques were identified. Results of this survey suggest that at the moment of apply a regression testing technique, metrics like cost and fault detection efficiency are the most relevant. Most of the techniques were assessed with instrumented programs (experimental cases) under academic settings. Conversely, we observe a minimum set of software regression techniques applied in industrial settings, mainly, under corrective and maintenance approaches. Finally, we observe a trend using some regression techniques under agile approaches. |
URI: | http://hdl.handle.net/20.500.14076/3332 |
ISSN: | 2181940 |
E-mail: | grodriguez@uni.edu.pe |
Rights: | info:eu-repo/semantics/restrictedAccess |
Appears in Collections: | Instituto General de Investigación (IGI) |
Files in This Item:
File | Description | Size | Format | |
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15 Years of Software Regression Testing Techniques -- A Survey.pdf | 147,8 kB | Adobe PDF | View/Open |
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