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Predicting Software Defects Based on Cognitive Error Theories

Huang, F. & Strigini, L. (2018). Predicting Software Defects Based on Cognitive Error Theories. Paper presented at the 2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 15-18 Oct 2018, Memphis, USA. doi: 10.1109/issrew.2018.00-16


As the primary cause of software defects, human error is the key to understanding and perhaps to predicting and preventing software defects. However, little research has been done to forecast software defects based on defects' cognitive nature. This paper proposes an idea for predicting software defects by applying the current scientific understanding of human error mechanisms. This new prediction method is based on the main causal mechanism underlying software defects: an error-prone scenario triggers a sequence of human error modes. Preliminary evidence for supporting this idea is presented.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: software defect prediction; human errors; cognitive errors; defect prevention; causal analysis
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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