NDLI: Improving Naïve Bayes classifier for software architecture reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Moshkenani, Z.S. Sharafi, S.M. Zamani, B.
Copyright Year	2012
Description	Author affiliation: Department of Computer Engineering, University of Isfahan, Isfahan, Iran (Zamani, B.) \|\| Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran (Moshkenani, Z.S.; Sharafi, S.M.)
Abstract	Documentation of software architecture is a good approach to understand the architecture of a software system and to match it with the changes needed during the software maintenance phase. In several systems like legacy or older systems these documents are not available or if available; they are not up-to-date and usable. So, reconstruction of architecture in order to maintain these systems is a necessary activity. When we talk about software architecture, usually we are looking for a modular view of architecture with low coupling and high cohesion. In this paper, we try to improve the algorithm of machine-learning which is presented before for architecture recovery, and we propose using it for architecture reconstruction in order to obtain optimum modularity in the architecture with low coupling and high cohesion. The proposed algorithm is evaluated in a case study, and its results are presented.
Starting Page	383
Ending Page	388
File Size	115966
Page Count	6
File Format	PDF
ISBN	9781467324656
e-ISBN	9781467324670
DOI	10.1109/MSNA.2012.6324601
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Naïve Bayes classifier Software architecture reconstruction Machine learning algorithms Software architecture Reverse engineering Computer architecture Machine learning Probability Software Data mining
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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