TY - GEN
T1 - Improved NHPP software reliability growth model considering imperfect debugging
AU - Li, Yangqi
AU - Sun, Haiyan
AU - Yang, Haiyan
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/1/14
Y1 - 2017/1/14
N2 - Although there have been a lot of researches on software reliability growth models, the problem that limited considerations of imperfect debugging phenomenon in the existing models is still not solved. In this paper, we aim for such study and propose a new software reliability growth model that connects both faults detective process and faults corrective process in a software test. Faults introduction, time delay, and fault removal efficiency, considered as 3 assumptions to propose an improved NHPP software reliability growth model. Then we choose two different sets of real software data to examine the merit and the predictive power of the new model. The results show that compared with other models, the proposed model provides the best fit, which means it is useful to improve the model.
AB - Although there have been a lot of researches on software reliability growth models, the problem that limited considerations of imperfect debugging phenomenon in the existing models is still not solved. In this paper, we aim for such study and propose a new software reliability growth model that connects both faults detective process and faults corrective process in a software test. Faults introduction, time delay, and fault removal efficiency, considered as 3 assumptions to propose an improved NHPP software reliability growth model. Then we choose two different sets of real software data to examine the merit and the predictive power of the new model. The results show that compared with other models, the proposed model provides the best fit, which means it is useful to improve the model.
KW - Correction process
KW - Fault detection process
KW - Imperfect debugging
KW - Software reliability growth model
UR - https://www.scopus.com/pages/publications/85018612146
U2 - 10.1145/3034950.3034993
DO - 10.1145/3034950.3034993
M3 - 会议稿件
AN - SCOPUS:85018612146
T3 - ACM International Conference Proceeding Series
SP - 59
EP - 63
BT - Proceedings of 2017 International Conference on Management Engineering, Software Engineering and Service Sciences, ICMSS 2017
A2 - Wang, Yulin
PB - Association for Computing Machinery
T2 - 2017 International Conference on Management Engineering, Software Engineering and Service Sciences, ICMSS 2017
Y2 - 14 January 2017 through 16 January 2017
ER -