TY - GEN
T1 - Case Study
T2 - 2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
AU - Honda, Kiyoshi
AU - Nakamura, Nobuhiro
AU - Washizaki, Hironori
AU - Fukazawa, Yoshiaki
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/21
Y1 - 2016/9/21
N2 - We propose a method to compare software products developed by the same company in the same domain. Our method, which measures the time series of the number of detected faults, employs software reliability growth models (SRGMs). SRGMs describe the relations between faults and the time necessary to detect them. Although several researchers have studied cross project defect predictions to determine defect locations using the features of previous software product's code such as lines of codes and complexities, past works on SRGMs did not compare products or develop comparison methods. Herein we propose a method to compare SRGMs across products. To provide managers and developers insight on advances of its products, our method is applied to the datasets for nine projects developed by Sumitomo Electric Industries, Ltd. SRGMs based on person hours are between 13% and 97% more precise than those based on calendar time.
AB - We propose a method to compare software products developed by the same company in the same domain. Our method, which measures the time series of the number of detected faults, employs software reliability growth models (SRGMs). SRGMs describe the relations between faults and the time necessary to detect them. Although several researchers have studied cross project defect predictions to determine defect locations using the features of previous software product's code such as lines of codes and complexities, past works on SRGMs did not compare products or develop comparison methods. Herein we propose a method to compare SRGMs across products. To provide managers and developers insight on advances of its products, our method is applied to the datasets for nine projects developed by Sumitomo Electric Industries, Ltd. SRGMs based on person hours are between 13% and 97% more precise than those based on calendar time.
KW - Empirical study
KW - Faults prediction
KW - Software Reliability Growth Model
UR - http://www.scopus.com/inward/record.url?scp=84991773796&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991773796&partnerID=8YFLogxK
U2 - 10.1109/QRS-C.2016.10
DO - 10.1109/QRS-C.2016.10
M3 - Conference contribution
AN - SCOPUS:84991773796
T3 - Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
SP - 39
EP - 46
BT - Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 August 2016 through 3 August 2016
ER -