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Handling Constraints in Combinatorial Interaction Testing in the Presence of Multi Objective Particle Swarm and Multithreading
Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA), Switzerland.
Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA), Switzerland.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0611-2655
University Malaysia Pahang, Gambang, Malaysia.
2017 (English)In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 86, no 01, 20-36 p.Article in journal (Refereed) Published
Abstract [en]

Combinatorial strategies have received a lot of attention lately as a result of their diverse applications in areas of research, particularly in software engineering. In its simple form, a combinatorial strategy can reduce several input parameters (configurations) of a system into a small set of these parameters based on their interaction (combination). However, in practice, the input configurations of software systems are subjected to constraints, especially highly configurable systems. To implement this feature within a strategy, many difficulties arise for construction. While there are many combinatorial interaction testing strategies nowadays, few of them support constraints. This paper presents a new strategy, called Octopus to construct a combinatorial interaction test suites with the presence of constraints. The design and algorithms are provided in the paper in detail. The strategy is inspired by the behaviour of octopus to search for the optimal solution using multi-threading mechanism. To overcome the multi judgement criteria for an optimal solution, the multi-objective particle swarm optimisation is used. The strategy and its algorithms are evaluated extensively using different benchmarks and comparisons. The evaluation results showed the efficiency of each algorithm in the strategy. The benchmarking results also showed that Octopus can generate test suites efficiently as compared to state-of-the-art strategies.

Place, publisher, year, edition, pages
2017. Vol. 86, no 01, 20-36 p.
Keyword [en]
Combinatorial Interaction Testing
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35462DOI: 10.1016/j.infsof.2017.02.004ScopusID: 2-s2.0-85015394020OAI: oai:DiVA.org:mdh-35462DiVA: diva2:1107572
Projects
TOCSYC - Testing of Critical System Characteristics (KKS)TESTMINE - Mining Test Evolution for Improved Software Regression Test Selection (KKS)
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-06-09Bibliographically 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
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  • Other locale
More languages
Output format
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  • asciidoc
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