Detection of Requirement Errors and Faults via a Human Error Taxonomy: A Feasibility Study

@article{Hu2016DetectionOR,
  title={Detection of Requirement Errors and Faults via a Human Error Taxonomy: A Feasibility Study},
  author={W. Hu and Jeffrey C. Carver and Vaibhav Anu and G. Walia and Gary L. Bradshaw},
  journal={Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement},
  year={2016}
}
  • W. Hu, Jeffrey C. Carver, +2 authors Gary L. Bradshaw
  • Published 2016
  • Engineering, Computer Science
  • Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
Background: Developing correct software requirements is important for overall software quality. Most existing quality improvement approaches focus on detection and removal of faults (i.e. problems recorded in a document) as opposed identifying the underlying errors that produced those faults. Accordingly, developers are likely to make the same errors in the future and fail to recognize other existing faults with the same origins. Therefore, we have created a Human Error Taxonomy (HET) to help… Expand
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