Error Abstraction Accuracy and Fixation during Error-Based Requirements Inspections

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Software inspections are widely used as a requirements verification technique. Our research uses the tried-and-tested perspective of cognitive failures (i.e., human errors) to improve the effectiveness of fault detection during requirements inspections. We have previously shown that inspection effectiveness can be significantly improved by augmenting the current fault-based inspection technique with the proposed Error Abstraction and Inspection (supported by a Human Error Taxonomy). This paper investigates the impact of an inspector's ability to accurately abstract human errors on their fault-detection effectiveness.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops, ISSREW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages45-46
Number of pages2
ISBN (Electronic)9781509036011
DOIs
StatePublished - 16 Dec 2016
Event27th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2016 - Ottawa, Canada
Duration: 23 Oct 201627 Oct 2016

Publication series

NameProceedings - 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops, ISSREW 2016

Conference

Conference27th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2016
Country/TerritoryCanada
CityOttawa
Period23/10/1627/10/16

Keywords

  • Human error
  • Inspection
  • Quality
  • Requirements

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