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dc.contributor.authorPatrick, Matthewen
dc.date.accessioned2016-06-03T14:17:48Z
dc.date.available2016-06-03T14:17:48Z
dc.date.issued2016en
dc.identifier.issn2325-9000
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/256157
dc.description.abstractWe can only test software effectively if we understand how it is intended to behave. For some categories of programs, such as scientific models, it is not obvious what the output of the software should be. New techniques are needed to help domain experts, such as scientists, gather the knowledge they need to construct suitable tests and oracles. This paper introduces a new interactive tool for iterative test suite construction that is based upon the scientific method paradigm that scientists are familiar with. We apply our technique to a deterministic mathematical model, used to predict the spread of disease, and show how it helps scientists uncover situations they had not yet considered. Of the 15 hypotheses originally created by modellers, our technique found discrepancies in all but one, allowing us to refine them into a more rigorous test suite.
dc.description.sponsorshipUniversity of Cambridge/Wellcome Trust Junior Interdisciplinary Fellowship
dc.languageEnglishen
dc.language.isoenen
dc.publisherKSI Research Inc.
dc.titleInteractive Tool for Iterative Test Suite Constructionen
dc.typeConference Object
dc.description.versionThis is the author accepted manuscript. It is currently under an indefinite embargo pending publication by KSI Research Inc.en
prism.publicationDate2016en
prism.publicationNameInternational Conference on Software Engineering & Knowledge Engineeringen
dc.identifier.doi10.17863/CAM.98
dcterms.dateAccepted2016-04-21en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2016en
dc.identifier.eissn2325-9086
rioxxterms.typeConference Paper/Proceeding/Abstracten


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