TY - GEN
T1 - Bayesian networks modeling for software inspection effectiveness
AU - Wu, Y. P.
AU - Hu, Q. P.
AU - Poh, K. L.
AU - Ng, S. H.
AU - Xie, M.
PY - 2005
Y1 - 2005
N2 - Software inspection has been broadly accepted as a cost effective approach for defect removal during the whole software development lifecycle. To keep inspection under control, it is essential to measure its effectiveness. As human-oriented activity, inspection effectiveness is due to many uncertain factors that make such study a challenging task, Bayesian Networks modeling is a powerful approach for the reasoning under uncertainty and it can describe inspection procedure well. With this framework, some extensions have been explored in this paper. The number of remaining defects in the software is proposed to be incorporated into the framework, with expectation to provide more information on the dynamic changing status of the software. In addition, a different approach is adopted to elicit the prior belief of related probability distributions for the network. Sensitivity analysis is developed with the model to locate the important factors to inspection effectiveness.
AB - Software inspection has been broadly accepted as a cost effective approach for defect removal during the whole software development lifecycle. To keep inspection under control, it is essential to measure its effectiveness. As human-oriented activity, inspection effectiveness is due to many uncertain factors that make such study a challenging task, Bayesian Networks modeling is a powerful approach for the reasoning under uncertainty and it can describe inspection procedure well. With this framework, some extensions have been explored in this paper. The number of remaining defects in the software is proposed to be incorporated into the framework, with expectation to provide more information on the dynamic changing status of the software. In addition, a different approach is adopted to elicit the prior belief of related probability distributions for the network. Sensitivity analysis is developed with the model to locate the important factors to inspection effectiveness.
UR - http://www.scopus.com/inward/record.url?scp=33847298142&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33847298142&origin=recordpage
U2 - 10.1109/PRDC.2005.21
DO - 10.1109/PRDC.2005.21
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0769524923
SN - 9780769524924
VL - 2005
SP - 65
EP - 71
BT - Proceedings - 11th Pacific Rim International Symposium on Dependable Computing, PRDC 2005
T2 - 11th Pacific Rim International Symposium on Dependable Computing, PRDC 2005
Y2 - 12 December 2005 through 14 December 2005
ER -