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R. G. Kula, K. Fushida, N. Yoshida, and H. Iida, "Experimental Study of Quantitative Analysis of Maintenance Effort Using Program Slicing-Based Metrics," In Proceedings of International Workshop on Software Quality and Management, pp. 50-57 December 2012.
ID 153
分類 国際会議
タグ analysis effort experimental maintenance metrics program quantitative slicing-based study
表題 (title) Experimental Study of Quantitative Analysis of Maintenance Effort Using Program Slicing-Based Metrics
表題 (英文)
著者名 (author) Raula Gaikovina Kula,Kyohei Fushida,Norihiro Yoshida,Hajimu Iida
英文著者名 (author) Raula Gaikovina Kula,Kyohei Fushida,Norihiro Yoshida,Hajimu Iida
編者名 (editor)
編者名 (英文)
キー (key) Raula Gaikovina Kula,Kyohei Fushida,Norihiro Yoshida,Hajimu Iida
書籍・会議録表題 (booktitle) Proceedings of International Workshop on Software Quality and Management
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 50-57
組織名 (organization) IEEE Computer Society Press
出版元 (publisher)
出版元 (英文)
出版社住所 (address)
刊行月 (month) 12
出版年 (year) 2012
採択率 (acceptance)
URL
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) During the software development lifecycle, studies have shown that over 75% of project costs originate from the maintenance phase. Analysis of the processes within the maintenance phase could prove beneficial since most maintenance activities revolve around source code. Accurate estimations of
the maintenance effort spent on code changes would enable cost effective management of resources.
In this research, we investigate a quantitative approach to express maintenance effort, for which a set of program-sliced metrics is proposed. Using the time to resolve an issue as a measure of maintenance effort, we evaluated our proposed metrics against the basic code-based metrics Lines of Code and McCabe’s Cyclomatic Complexity.
To eliminate outside factors, we performed an experimental case study on a set of pre-defined maintenance activities. Results suggest that program slicing metrics have the strongest correlation with maintenance effort, exhibiting a moderate degree of correlation with maintenance effort. In contrast, Lines of Code has a weak correlation with maintenance effort.
This study contributes to our ongoing research into the analysis of maintenance processes.
論文電子ファイル SQAM.pdf (application/pdf) [一般閲覧可]
BiBTeXエントリ
@inproceedings{id153,
         title = {Experimental Study of Quantitative Analysis of Maintenance Effort using Program Slicing-based Metrics},
        author = {Raula Gaikovina Kula and Kyohei Fushida and Norihiro Yoshida and Hajimu Iida},
     booktitle = {Proceedings of International Workshop on Software Quality and Management},
         pages = {50-57},
    organization = {IEEE Computer Society Press},
         month = {12},
          year = {2012},
}