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. 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.
| 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 | 39-46 |
| Number of pages | 8 |
| 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
Case Study : 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. 39-46 7573722.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Case Study
T2 - 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. 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
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.
ER -