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, and supports identifying tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plugin which to visualizes an evaluation results based on GQM method. We perform an experiment with OSS and industrial case study with two software development projects. In our experiment, we can identify the problem and project tendency. In our industrial case study, we can also identify the problem that project 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.1.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Asia-Pacific Software Engineering Conference, APSEC |
| Publisher | IEEE Computer Society |
| Pages | 69-74 |
| Number of pages | 6 |
| 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 |
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Keywords
- GQM
- Software Engineering
- Trend Pattern
- Visualization
ASJC Scopus subject areas
- Software
Cite this
Continuous product-focused project monitoring with trend patterns and GQM. / 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. 69-74 7091219.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Continuous product-focused project monitoring with trend patterns and GQM
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, and supports identifying tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plugin which to visualizes an evaluation results based on GQM method. We perform an experiment with OSS and industrial case study with two software development projects. In our experiment, we can identify the problem and project tendency. In our industrial case study, we can also identify the problem that project 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.1.
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, and supports identifying tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plugin which to visualizes an evaluation results based on GQM method. We perform an experiment with OSS and industrial case study with two software development projects. In our experiment, we can identify the problem and project tendency. In our industrial case study, we can also identify the problem that project 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.1.
KW - GQM
KW - Software Engineering
KW - Trend Pattern
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84951783060&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951783060&partnerID=8YFLogxK
U2 - 10.1109/APSEC.2014.96
DO - 10.1109/APSEC.2014.96
M3 - Conference contribution
SN - 9781479974252
VL - 2
SP - 69
EP - 74
BT - Proceedings - Asia-Pacific Software Engineering Conference, APSEC
PB - IEEE Computer Society
ER -