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dc.contributor.authorLu, Zhou
dc.description.abstractSoftware inspection in the early phase of software development is proven to be an effective method to help developer to detect and fix defects in software requirement. It can improve the quality of software requirement, which affects the overall quality of the subsequent phases and hence, the final software product. In order to make inspection to be more effective, research focus on learning the factors that positively impact the performance of individual and team inspection is necessary. This paper presents a tool that can assist researchers to study the relationship between software inspectors’ LS preferences and their performance in detecting defects during the inspection of software artifact. Several statistical techniques were employed in this tool, to create and sort different size of inspection teams based on dissimilarity of LS preferences of inspectors. This tool can be used to study correlations between individual inspector’s LS strengths and their inspection team performance.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleA Software Tool to Facilitate Automate Creation of Virtual Inspection Teams and Inspection Performance Evaluationen_US
dc.typeMaster's paperen_US
dc.date.accessioned2016-05-16T21:40:53Z
dc.date.available2016-05-16T21:40:53Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10365/25646
dc.subject.lcshTeams in the workplace.en_US
dc.subject.lcshCognitive styles.en_US
dc.subject.lcshComputer software -- Quality control.en_US
dc.subject.lcshComputer software -- Verification.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentComputer Scienceen_US
ndsu.programComputer Scienceen_US
ndsu.advisorWalia, Gursimran


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