Abstract
The highest share of cost for a software product is software maintenance. Identifying the quality merit of the software architecture is extremely vital as the quality directly relates to software maintenance. A good design always exhibits good quality characteristics because it is directly related to good architecture. Although C language is a major language in the software industry, few studies investigate the quality of the architecture in C language. This study aims to evaluate the quality of C language projects in a quantifiable form by focusing on dependency graphs, associated metrics, and software architecture. In particular, this study (i) formulates the architecture representation of C projects, (ii) determines the metrics capturing the quality of architecture, (iii) defines code smell and metrics relations and (iv) conducts an empirical analysis on 58 C projects. We show which metrics derived from dependency graphs can detect architectural issues and verify their relation to software architecture quality.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019 |
| Editors | Vladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossian Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elci, Susumu Takeuchi, Satish Puri |
| Publisher | IEEE Computer Society |
| Pages | 117-122 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728126074 |
| DOIs | |
| Publication status | Published - 2019 Jul |
| Event | 43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, United States Duration: 2019 Jul 15 → 2019 Jul 19 |
Publication series
| Name | Proceedings - International Computer Software and Applications Conference |
|---|---|
| Volume | 1 |
| ISSN (Print) | 0730-3157 |
Conference
| Conference | 43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 |
|---|---|
| Country | United States |
| City | Milwaukee |
| Period | 19/7/15 → 19/7/19 |
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Keywords
- C language
- Code smells
- Dependency graphs
- Software architecture
- Software metrics analysis
ASJC Scopus subject areas
- Software
- Computer Science Applications
Cite this
Metrics driven architectural analysis using dependency graphs for C language projects. / Tiwari, Devansh; Washizaki, Hironori; Fukazawa, Yoshiaki; Fukuoka, Tomoyuki; Tamaki, Junji; Hosotani, Nobuhiro; Kohama, Munetaka.
Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019. ed. / Vladimir Getov; Jean-Luc Gaudiot; Nariyoshi Yamai; Stelvio Cimato; Morris Chang; Yuuichi Teranishi; Ji-Jiang Yang; Hong Va Leong; Hossian Shahriar; Michiharu Takemoto; Dave Towey; Hiroki Takakura; Atilla Elci; Susumu Takeuchi; Satish Puri. IEEE Computer Society, 2019. p. 117-122 8754186 (Proceedings - International Computer Software and Applications Conference; Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Metrics driven architectural analysis using dependency graphs for C language projects
AU - Tiwari, Devansh
AU - Washizaki, Hironori
AU - Fukazawa, Yoshiaki
AU - Fukuoka, Tomoyuki
AU - Tamaki, Junji
AU - Hosotani, Nobuhiro
AU - Kohama, Munetaka
PY - 2019/7
Y1 - 2019/7
N2 - The highest share of cost for a software product is software maintenance. Identifying the quality merit of the software architecture is extremely vital as the quality directly relates to software maintenance. A good design always exhibits good quality characteristics because it is directly related to good architecture. Although C language is a major language in the software industry, few studies investigate the quality of the architecture in C language. This study aims to evaluate the quality of C language projects in a quantifiable form by focusing on dependency graphs, associated metrics, and software architecture. In particular, this study (i) formulates the architecture representation of C projects, (ii) determines the metrics capturing the quality of architecture, (iii) defines code smell and metrics relations and (iv) conducts an empirical analysis on 58 C projects. We show which metrics derived from dependency graphs can detect architectural issues and verify their relation to software architecture quality.
AB - The highest share of cost for a software product is software maintenance. Identifying the quality merit of the software architecture is extremely vital as the quality directly relates to software maintenance. A good design always exhibits good quality characteristics because it is directly related to good architecture. Although C language is a major language in the software industry, few studies investigate the quality of the architecture in C language. This study aims to evaluate the quality of C language projects in a quantifiable form by focusing on dependency graphs, associated metrics, and software architecture. In particular, this study (i) formulates the architecture representation of C projects, (ii) determines the metrics capturing the quality of architecture, (iii) defines code smell and metrics relations and (iv) conducts an empirical analysis on 58 C projects. We show which metrics derived from dependency graphs can detect architectural issues and verify their relation to software architecture quality.
KW - C language
KW - Code smells
KW - Dependency graphs
KW - Software architecture
KW - Software metrics analysis
UR - http://www.scopus.com/inward/record.url?scp=85072700113&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072700113&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC.2019.00025
DO - 10.1109/COMPSAC.2019.00025
M3 - Conference contribution
AN - SCOPUS:85072700113
T3 - Proceedings - International Computer Software and Applications Conference
SP - 117
EP - 122
BT - Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
A2 - Getov, Vladimir
A2 - Gaudiot, Jean-Luc
A2 - Yamai, Nariyoshi
A2 - Cimato, Stelvio
A2 - Chang, Morris
A2 - Teranishi, Yuuichi
A2 - Yang, Ji-Jiang
A2 - Leong, Hong Va
A2 - Shahriar, Hossian
A2 - Takemoto, Michiharu
A2 - Towey, Dave
A2 - Takakura, Hiroki
A2 - Elci, Atilla
A2 - Takeuchi, Susumu
A2 - Puri, Satish
PB - IEEE Computer Society
ER -