TY - GEN
T1 - Using Learning Styles to Staff and Improve Software Inspection Team Performance
AU - Goswami, Anurag
AU - Walia, Gursimran S.
AU - Rathod, Urvashi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/16
Y1 - 2016/12/16
N2 - 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.
AB - 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.
KW - Learning style
KW - Requirements inspection
UR - http://www.scopus.com/inward/record.url?scp=85009822139&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009822139&partnerID=8YFLogxK
U2 - 10.1109/ISSREW.2016.38
DO - 10.1109/ISSREW.2016.38
M3 - Conference contribution
AN - SCOPUS:85009822139
T3 - Proceedings - 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops, ISSREW 2016
SP - 9
EP - 12
BT - Proceedings - 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops, ISSREW 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2016
Y2 - 23 October 2016 through 27 October 2016
ER -