Exploratory Testing For Unwanted Behavior Using Evolutionary Learning Techniques
dc.contributor.author | Denzinger, Jorg | eng |
dc.date.accessioned | 2008-02-27T16:59:06Z | |
dc.date.available | 2008-02-27T16:59:06Z | |
dc.date.computerscience | 2007-07-12 | eng |
dc.date.issued | 2007-07-12 | eng |
dc.description.abstract | We 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.notes | We 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.ca | eng |
dc.identifier.department | 2007-868-20 | eng |
dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/30579 | |
dc.identifier.uri | http://hdl.handle.net/1880/45852 | |
dc.language.iso | Eng | eng |
dc.publisher.corporate | University of Calgary | eng |
dc.publisher.faculty | Science | eng |
dc.subject | Computer Science | eng |
dc.title | Exploratory Testing For Unwanted Behavior Using Evolutionary Learning Techniques | eng |
dc.type | unknown | |
thesis.degree.discipline | Computer Science | eng |
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