Adaptive Weighting of Structural Dependency and Textual Similarity in Software Architecture Recovery
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- UM Jae-Chul
- School of Computer Science and Engineering, Chung-Ang University
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- LEE Ki-Seong
- School of Computer Science and Engineering, Chung-Ang University
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- LEE Chan-Gun
- School of Computer Science and Engineering, Chung-Ang University
抄録
Software architecture recovery techniques are often adopted to derive a module view of software from its source code in case software architecture documents are unavailable or outdated. The module view is one of the most important perspectives of software architecture. In this paper, we propose a novel approach to derive a module view by adaptively integrating structural dependency and textual similarity. Our approach utilizes Newman modularity and Shannon information entropy to determine the appropriate weights of the dependencies during the integration. We apply our approach to various open-source projects and show the experimental results validating the effectiveness of the approach.
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E99.D (3), 756-759, 2016
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390282679356066688
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- NII論文ID
- 130005131839
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- ISSN
- 17451361
- 09168532
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可