NDLI: Using spectral clustering to automate identification and optimization of component structures

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Using spectral clustering to automate identification and optimization of component structures

Content Provider	IEEE Xplore Digital Library
Author	Deiters, C. Rausch, A. Schindler, M.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. - Software Syst. Eng., Clausthal Univ. of Technol., Clausthal-Zellerfeld, Germany (Deiters, C.; Rausch, A.; Schindler, M.)
Abstract	A well-structured, modular software architecture is known to support comprehensibility, maintainability and extensibility of a software system. To achieve this goal the software system is divided into components in such a way that its component structure is optimized regarding cohesion and coupling. But with increasing size and complexity identifying and evaluating a component structure can be rarely accomplished by humans manually. To support this task, we developed an approach using Spectral Clustering from the field of neural computation. Based on the different dependencies between software elements, our approach automatically forms a component structure of the analyzed software system. In a case study we demonstrate this approach on a software system of manually manageable size and complexity. The results are compared to the component structure skilled software architects manually formed. In most cases both variants, manually as well as automated, provide similar component structures. For this reason, the presented approach seems to be suitable for systems which are not manageable by hand.
Starting Page	14
Ending Page	20
File Size	2472663
Page Count	7
File Format	PDF
ISBN	9781467364379
DOI	10.1109/RAISE.2013.6615199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Component Structure Unified modeling language Clustering algorithms Software Architecture Computer architecture Software systems Eigenvalues and eigenfunctions Spectral Clustering Architecture Erosion Software Design
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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