Predicting Non-fault Case from Sensory Evaluation of SE by Rough Set

Abstract

Software development requires professional expertise such as system engineers and programmers. Software quality is immensely affected by the capabilities, experience and technological knowledge of users and professionals/ system engineers. Especially when users make erroneous judgements on design document which are only identifiable after system completion and attribute misjudgments to system flaws. Hence, we placed our emphasis on sensory judgment of the system engineer, I may have early detection of user’s misconception. We construct the software quality prediction model for quality estimation through rough set analysis by sensory judgment of the system engineer.