Metrics driven architectural analysis using dependency graphs for C language projects

Devansh Tiwari, Hironori Washizaki, Yoshiaki Fukazawa, Tomoyuki Fukuoka, Junji Tamaki, Nobuhiro Hosotani, Munetaka Kohama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
EditorsVladimir 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
PublisherIEEE Computer Society
Pages117-122
Number of pages6
ISBN (Electronic)9781728126074
DOIs
Publication statusPublished - 2019 Jul
Event43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, United States
Duration: 2019 Jul 152019 Jul 19

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Conference

Conference43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019
Country/TerritoryUnited States
CityMilwaukee
Period19/7/1519/7/19

Keywords

  • C language
  • Code smells
  • Dependency graphs
  • Software architecture
  • Software metrics analysis

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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