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Multi-Objective Testing Resource Allocation under Uncertainty
National Interuniversity Consortium for Informatics (CINI), Italy.
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0003-2165-7039
National Interuniversity Consortium for Informatics (CINI), Italy.
University of Alcala, Spain.
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2017 (English)In: IEEE Transactions on Evolutionary Computation, ISSN 1089-778X, E-ISSN 1941-0026, Vol. PP, no 99Article in journal (Refereed) Published
Abstract [en]

Testing resource allocation is the problem of planning the assignment of resources to testing activities of software components so as to achieve a target goal under given constraints. Existing methods build on Software Reliability Growth Models (SRGMs), aiming at maximizing reliability given time/cost constraints, or at minimizing cost given quality/time constraints. We formulate it as a multi-objective debug-aware and robust optimization problem under uncertainty of data, advancing the stateof- the-art in the following ways. Multi-objective optimization produces a set of solutions, allowing to evaluate alternative tradeoffs among reliability, cost and release time. Debug awareness relaxes the traditional assumptions of SRGMs – in particular the very unrealistic immediate repair of detected faults – and incorporates the bug assignment activity. Robustness provides solutions valid in spite of a degree of uncertainty on input parameters. We show results with a real-world case study.

Place, publisher, year, edition, pages
2017. Vol. PP, no 99
Keywords [en]
Testing, Resource management, Mathematical model, Debugging, Fault detection, Uncertainty, Optimization
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-32387DOI: 10.1109/TEVC.2017.2691060OAI: oai:DiVA.org:ri-32387DiVA, id: diva2:1152899
Available from: 2017-10-26 Created: 2017-10-26 Last updated: 2018-08-14Bibliographically approved

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Potena, Pasqualina

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