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A hybrid approach for test case prioritization and selection
Universidade Federal do Piaui, BRA.
Universidade Federal do Piaui, BRA.
Universidade Federal do Piaui, BRA.
Universidade Federal do Piaui, BRA.
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2016 (English)In: 2016 IEEE Congress on Evolutionary Computation, CEC 2016, IEEE, 2016, 4508-4515 p.Conference paper, Published paper (Refereed)
Abstract [en]

Software testing consists in the dynamic verification of the behavior of a program on a set of test cases. When a program is modified, it must be tested to verify if the changes did not imply undesirable effects on its functionality. The rerunning of all test cases can be impossible, due to cost, time and resource constraints. So, it is required the creation of a test cases subset before the test execution. This is a hard problem and the use of standard Software Engineering techniques could not be suitable. This work presents an approach for test case prioritization and selection, based in relevant inputs obtained from a software development environment. The approach uses Software Quality Function Deployment (SQFD) to deploy the features relevance among the system components, Mamdani fuzzy inference systems to infer the criticality of each class and Ant Colony Optimization to select test cases. An evaluation of the approach is presented, using data from simulations with different number of tests.

Place, publisher, year, edition, pages
IEEE, 2016. 4508-4515 p.
Keyword [en]
Ant colony optimization, Computer software selection and evaluation, Fuzzy inference, Quality function deployment, Software design, Software engineering, Testing, Verification, Dynamic verifications, Engineering techniques, Mamdani fuzzy inferences, Resource Constraint, Software development environment, System components, Test case prioritization, Undesirable effects, Software testing
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-13794DOI: 10.1109/CEC.2016.7744363ISI: 000390749104091Scopus ID: 2-s2.0-85008245202ISBN: 9781509006229 (print)OAI: oai:DiVA.org:bth-13794DiVA: diva2:1067252
Conference
2016 IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver
Available from: 2017-01-20 Created: 2017-01-20 Last updated: 2017-01-23Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf