@inproceedings{631ac45a870a434885c169e8cf6965f5,
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 = "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",
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",
}