Exploratory Testing For Unwanted Behavior Using Evolutionary Learning Techniques

dc.contributor.authorDenzinger, Jorgeng
dc.date.accessioned2008-02-27T16:59:06Z
dc.date.available2008-02-27T16:59:06Z
dc.date.computerscience2007-07-12eng
dc.date.issued2007-07-12eng
dc.description.abstractWe present a method that allows to create tools that help human testers to do exploratory testing for unwanted behavior of software systems and their components. The general idea is to use evolutionary learning to find interaction schemes with the tested system that result in the tested system showing the unwanted behavior or coming near to it. We present two case studies that instantiate our method and that resulted in detecting not previously known unwanted behavior in both tested systems.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department2007-868-20eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30579
dc.identifier.urihttp://hdl.handle.net/1880/45852
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleExploratory Testing For Unwanted Behavior Using Evolutionary Learning Techniqueseng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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