Using Learning Styles to Staff and Improve Software Inspection Team Performance

Anurag Goswami, Gursimran S. Walia, Urvashi Rathod

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Software inspections are most widely used technique by industrial practitioners for improving software quality. While inspections are an effective verification technique, evidence suggests that overall performance of an inspection process is highly dependent on an individual inspectors' ability to detect faults. Our work leverages cognitive science research to help improve the inspection team performance. This paper presents the results from two industrial studies that evaluate the effect of cognitive learning styles (LSs) of individual inspectors on their inspection team performance. The results showed that the inspection teams formed with inspectors of diverse LSs outperformed teams with similar LSs of inspectors. These results can help software managers better staff inspectors, enabling cost savings, and improving quality.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops, ISSREW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-12
Number of pages4
ISBN (Electronic)9781509036011
DOIs
StatePublished - Dec 16 2016
Externally publishedYes
Event27th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2016 - Ottawa, Canada
Duration: Oct 23 2016Oct 27 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
Period10/23/1610/27/16

Keywords

  • Learning style
  • Requirements inspection

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Software

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