Abstract
It is important for project stakeholders to identify the states of projects and quality of products. Although metrics are useful for identifying them, it is difficult for project stakeholders to select appropriate metrics and determine the purpose of measuring metrics. We propose an approach that defines the measured metrics by GQM method to identify tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plugin to visualize an evaluation results based on GQM method. We perform an industrial case study, which objects are two software development projects. In our industrial case study, we can identify the problem that product contains. As our future work, we will adopt our approach and GQM Plugin to software development project continuously to assess their effectiveness in the long term.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Asia-Pacific Software Engineering Conference, APSEC |
| Publisher | IEEE Computer Society |
| Pages | 43-46 |
| Number of pages | 4 |
| Volume | 2 |
| ISBN (Print) | 9781479974252 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 21st Asia-Pacific Software Engineering Conference, APSEC 2014 - Jeju Island, Korea, Republic of Duration: 2014 Dec 1 → 2014 Dec 4 |
Other
| Other | 21st Asia-Pacific Software Engineering Conference, APSEC 2014 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju Island |
| Period | 14/12/1 → 14/12/4 |
Fingerprint
Keywords
- GQM
- Software Engineering
- Trend Pattern
- Visualization
ASJC Scopus subject areas
- Software
Cite this
Initial industrial experience of gqm-based product-focused project monitoring with trend patterns. / Nakai, Hidenori; Honda, Kiyoshi; Washizaki, Hironori; Fukazawa, Yoshiaki; Asoh, Ken; Takahashi, Kaz; Ogawa, Kentarou; Mori, Maki; Hino, Takashi; Hayakawa, Yosuke; Tanaka, Yasuyuki; Yamada, Shinichi; Miyazaki, Daisuke.
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. Vol. 2 IEEE Computer Society, 2014. p. 43-46 7091214.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Initial industrial experience of gqm-based product-focused project monitoring with trend patterns
AU - Nakai, Hidenori
AU - Honda, Kiyoshi
AU - Washizaki, Hironori
AU - Fukazawa, Yoshiaki
AU - Asoh, Ken
AU - Takahashi, Kaz
AU - Ogawa, Kentarou
AU - Mori, Maki
AU - Hino, Takashi
AU - Hayakawa, Yosuke
AU - Tanaka, Yasuyuki
AU - Yamada, Shinichi
AU - Miyazaki, Daisuke
PY - 2014
Y1 - 2014
N2 - It is important for project stakeholders to identify the states of projects and quality of products. Although metrics are useful for identifying them, it is difficult for project stakeholders to select appropriate metrics and determine the purpose of measuring metrics. We propose an approach that defines the measured metrics by GQM method to identify tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plugin to visualize an evaluation results based on GQM method. We perform an industrial case study, which objects are two software development projects. In our industrial case study, we can identify the problem that product contains. As our future work, we will adopt our approach and GQM Plugin to software development project continuously to assess their effectiveness in the long term.
AB - It is important for project stakeholders to identify the states of projects and quality of products. Although metrics are useful for identifying them, it is difficult for project stakeholders to select appropriate metrics and determine the purpose of measuring metrics. We propose an approach that defines the measured metrics by GQM method to identify tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plugin to visualize an evaluation results based on GQM method. We perform an industrial case study, which objects are two software development projects. In our industrial case study, we can identify the problem that product contains. As our future work, we will adopt our approach and GQM Plugin to software development project continuously to assess their effectiveness in the long term.
KW - GQM
KW - Software Engineering
KW - Trend Pattern
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84951797061&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951797061&partnerID=8YFLogxK
U2 - 10.1109/APSEC.2014.91
DO - 10.1109/APSEC.2014.91
M3 - Conference contribution
AN - SCOPUS:84951797061
SN - 9781479974252
VL - 2
SP - 43
EP - 46
BT - Proceedings - Asia-Pacific Software Engineering Conference, APSEC
PB - IEEE Computer Society
ER -