@inproceedings{38a94ea394e44355b5ee24eb6a8512a1,
title = "Usefulness of a human error identification tool for requirements inspection: An experience report",
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.",
author = "Vaibhav Anu and Gursimran Walia and Gary Bradshaw and Wenhua Hu and Carver, {Jeffrey C.}",
note = "Funding Information: This work was supported by NSF Awards 1423279 and 1421006. The authors would like to thank the students of the Software Requirements course at North Dakota State University for participating in this study. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 23rd International Working Conference on Requirements Engineering – Foundation for Software Quality, REFSQ 2017 ; Conference date: 27-02-2017 Through 02-03-2017",
year = "2017",
doi = "10.1007/978-3-319-54045-0_26",
language = "English (US)",
isbn = "9783319540443",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "370--377",
editor = "Anna Perini and Paul Gr{\"u}nbacher",
booktitle = "Requirements Engineering",
}