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.
Cite
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10153 LNCS, pp. 370–377). Springer Verlag. https://doi.org/10.1007/978-3-319-54045-0_26
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
