Research Article

A New Approach of Component Identification Based on Weighted Connectivity Strength Metrics

Xinyu Wang, Xiaohu Yang, Jianling Sun and Zhengong Cai

Once software is in production, maintenance works are inevitable e.g., bug fixes, requirement changes, etc. During the long-term software maintenance, documents become gradually inconsistent with the system and the source code becomes the most reliable source for design recovery. Currently there exist many approaches to identify component from source code, which adopt different component metrics and clustering algorithms. However, these approaches are not satisfying in the precision and efficiency. This study proposes a new component extraction approach based on 0 metrics and hierarchical clustering algorithm, which greatly improves the precision and efficiency.

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Xinyu Wang, Xiaohu Yang, Jianling Sun and Zhengong Cai, 2008. A New Approach of Component Identification Based on Weighted Connectivity Strength Metrics. Information Technology Journal, 7: 56-62.

DOI: 10.3923/itj.2008.56.62

URL: https://scialert.net/abstract/?doi=itj.2008.56.62

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Authors

Xinyu Wang

Xiaohu Yang

Jianling Sun

Zhengong Cai

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Research Article

A New Approach of Component Identification Based on Weighted Connectivity Strength Metrics

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