Using Learning Styles to Improve Cost Effectiveness of Software Inspection Teams

Inspection is a widely known technique to detect faults in requirements document. It helps manager by early detection and removal of faults. Much of the cost can be saved by detecting faults during the inspections of early software artifacts as compared to testing in later stages of development. Our research utilizes a Learning Style – LS concept (coined by psychologists that refer to individuals’ information perceiving and processing traits) in the context of an inspection of software requirements document. This paper reports the results from an empirical study that, inspectors of diverse LS’s in a team are more cost effective (i.e., found larger number of faults faster with larger testing cost savings) as compared to the inspection team made up of random assigned inspectors or inspectors with similar LS’s. Keywords-software inspection; learning style; Kusumoto Metric