Abstract
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. 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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 404-405 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781509037131 |
| DOIs | |
| Publication status | Published - 2016 Sep 21 |
| Event | 2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016 - Vienna, Austria Duration: 2016 Aug 1 → 2016 Aug 3 |
Other
| Other | 2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016 |
|---|---|
| Country | Austria |
| City | Vienna |
| Period | 16/8/1 → 16/8/3 |
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Keywords
- Empirical study
- Faults prediction
- Software Reliability Growth Model
ASJC Scopus subject areas
- Software
- Safety, Risk, Reliability and Quality
Cite this
An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model. / Honda, Kiyoshi; Nakamura, Nobuhiro; Washizaki, Hironori; Fukazawa, Yoshiaki.
Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 404-405 7573778.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model
AU - Honda, Kiyoshi
AU - Nakamura, Nobuhiro
AU - Washizaki, Hironori
AU - Fukazawa, Yoshiaki
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. 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.
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. 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.
KW - Empirical study
KW - Faults prediction
KW - Software Reliability Growth Model
UR - http://www.scopus.com/inward/record.url?scp=84991780760&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991780760&partnerID=8YFLogxK
U2 - 10.1109/QRS-C.2016.63
DO - 10.1109/QRS-C.2016.63
M3 - Conference contribution
AN - SCOPUS:84991780760
SP - 404
EP - 405
BT - Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -