A cognitive-based mechanism for constructing software inspection teams

Software inspection is well-known as an effective means of defect detection. Nevertheless, recent research has suggested that the technique requires further development to optimize the inspection process. As the process is inherently group-based, one approach to improving performance is to attempt to minimize the commonality within the process and the group. This work proposes an approach to add diversity into the process by using a cognitively-based team selection mechanism. The paper argues that a team with diverse information processing strategies, as defined by the selection mechanism, maximize the number of different defects discovered.

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