Usefulness of a human error identification tool for requirements inspection: An experience report

Vaibhav Anu, Gursimran Walia, Gary Bradshaw, Wenhua Hu, Jeffrey C. Carver

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Context and Motivation: Our recent work leverages Cognitive Psychology research on human errors to improve the standard fault-based requirements inspections. Question: The empirical study presented in this paper investigates the effectiveness of a newly developed Human Error Abstraction Assist (HEAA) tool in helping inspectors identify human errors to guide the fault detection during the requirements inspection. Results: The results showed that the HEAA tool, though effective, presented challenges during the error abstraction process. Contribution: In this experience report, we present major challenges during the study execution and lessons learned for future replications.

    Fingerprint

Cite this

Anu, V., Walia, G., Bradshaw, G., Hu, W., & Carver, J. C. (2017). Usefulness of a human error identification tool for requirements inspection: An experience report. In A. Perini, & P. Grünbacher (Eds.), Requirements Engineering: Foundation for Software Quality - 23rd International Working Conference, REFSQ 2017, Proceedings (pp. 370-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10153 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-54045-0_26