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dc.contributor.authorBavanari, Haribabu
dc.description.abstractTo improve the software quality, researchers have focused their effort on developing and validating effective methods of finding and fixing defects early in the development process. Software inspections are most widely used defect detection method. Also, researchers showed that the overall effectiveness of an inspection team is affected by the effectiveness of individual inspectors. But researchers have not been able to completely understand the inherent characteristic that makes an individual inspector effective. This paper investigates this problem by analyzing the learning style (LS) preferences of individuals who make up inspection team. Also presents a tool that provides ability to researchers to study the relationship between inspectors’ LS and his/her effectiveness in uncovering defects in software requirement document. Cluster and Discriminant analysis techniques were used to sort inspection teams based on their LS preferences. Researchers can use this tool to study further correlations between inspector’s LS and their performance in team.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleSoftware Inspection Team Formation Based on the Learning Style of Individual Inspectorsen_US
dc.typeMaster's paperen_US
dc.date.accessioned2012-11-23T16:47:17Z
dc.date.available2012-11-23T16:47:17Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10365/22271
dc.subject.lcshLearning strategies.en_US
dc.subject.lcshComputer software -- Quality control.en_US
dc.subject.lcshComputer software -- Development -- Management.en_US
dc.subject.lcshTeams in the workplace.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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