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.

Original languageEnglish
Title of host publicationRequirements Engineering
Subtitle of host publicationFoundation for Software Quality - 23rd International Working Conference, REFSQ 2017, Proceedings
EditorsAnna Perini, Paul Grünbacher
PublisherSpringer Verlag
Pages370-377
Number of pages8
ISBN (Print)9783319540443
DOIs
StatePublished - 1 Jan 2017
Event23rd International Working Conference on Requirements Engineering – Foundation for Software Quality, REFSQ 2017 - Essen, Germany
Duration: 27 Feb 20172 Mar 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10153 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Working Conference on Requirements Engineering – Foundation for Software Quality, REFSQ 2017
CountryGermany
City Essen
Period27/02/172/03/17

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  • 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