Abstract
In the past three decades, a large number of metrics have been proposed to track software development, to evaluate software quality and to certify software product. Unfortunately, there is still lack of information that can be used to choose the best metrics in a particular-context. In this paper, we review six software metric selection methods based on external measurement that encouraged human judgment as an initial work towards a structure software metric selection model development. This study also outlines the six methods' strengths and weaknesses as well as enables readers to identify appropriate software metrics selection method that is suitable for their requirement.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 433-438 |
| Number of pages | 6 |
| ISBN (Print) | 9781467373197 |
| DOIs | |
| Publication status | Published - 10 Dec 2015 |
| Event | 5th International Conference on Electrical Engineering and Informatics, ICEEI 2015 - Legian-Bali, Indonesia Duration: 10 Aug 2015 → 11 Aug 2015 |
Other
| Other | 5th International Conference on Electrical Engineering and Informatics, ICEEI 2015 |
|---|---|
| Country | Indonesia |
| City | Legian-Bali |
| Period | 10/8/15 → 11/8/15 |
Fingerprint
Keywords
- Software Metric Selection Method
- Software Metrics
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Software metric selection methods : A review. / Bukhari, Zubaidah; Yahaya, Jamaiah; Deraman, Aziz.
Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 433-438 7352540.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Software metric selection methods
T2 - A review
AU - Bukhari, Zubaidah
AU - Yahaya, Jamaiah
AU - Deraman, Aziz
PY - 2015/12/10
Y1 - 2015/12/10
N2 - In the past three decades, a large number of metrics have been proposed to track software development, to evaluate software quality and to certify software product. Unfortunately, there is still lack of information that can be used to choose the best metrics in a particular-context. In this paper, we review six software metric selection methods based on external measurement that encouraged human judgment as an initial work towards a structure software metric selection model development. This study also outlines the six methods' strengths and weaknesses as well as enables readers to identify appropriate software metrics selection method that is suitable for their requirement.
AB - In the past three decades, a large number of metrics have been proposed to track software development, to evaluate software quality and to certify software product. Unfortunately, there is still lack of information that can be used to choose the best metrics in a particular-context. In this paper, we review six software metric selection methods based on external measurement that encouraged human judgment as an initial work towards a structure software metric selection model development. This study also outlines the six methods' strengths and weaknesses as well as enables readers to identify appropriate software metrics selection method that is suitable for their requirement.
KW - Software Metric Selection Method
KW - Software Metrics
UR - http://www.scopus.com/inward/record.url?scp=84961700454&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961700454&partnerID=8YFLogxK
U2 - 10.1109/ICEEI.2015.7352540
DO - 10.1109/ICEEI.2015.7352540
M3 - Conference contribution
AN - SCOPUS:84961700454
SN - 9781467373197
SP - 433
EP - 438
BT - Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -