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Author: Ioana Sora

Affiliation: Politehnica University of Timisoara, Romania

Keyword(s): Reverse engineering, Software architecture reconstruction, Clustering

Abstract: Clustering is very often used for the purpose of automatic softwarearchitecture reconstruction. This work investigates the importance of taking into account different factors for the similarity metric, besides the traditional factorbased on direct coupling/cohesion: indirect coupling as computed from the topology of the dependency graph, and global architectural layering resulting from theorientation of dependencies. We experiment with using these factors, individuallyor combined, for defining the similarity metrics within a set of clustering algorithms.

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Paper citation in several formats:
Sora, I. (2013). Software Architecture Reconstruction through Clustering: Finding the Right Similarity Factors. In Proceedings of the 1st International Workshop in Software Evolution and Modernization (ENASE 2013) - SEM; ISBN 978-989-8565-66-2, SciTePress, pages 45-54. DOI: 10.5220/0004599600450054

@conference{sem13,
author={Ioana Sora.},
title={Software Architecture Reconstruction through Clustering: Finding the Right Similarity Factors},
booktitle={Proceedings of the 1st International Workshop in Software Evolution and Modernization (ENASE 2013) - SEM},
year={2013},
pages={45-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004599600450054},
isbn={978-989-8565-66-2},
}

TY - CONF

JO - Proceedings of the 1st International Workshop in Software Evolution and Modernization (ENASE 2013) - SEM
TI - Software Architecture Reconstruction through Clustering: Finding the Right Similarity Factors
SN - 978-989-8565-66-2
AU - Sora, I.
PY - 2013
SP - 45
EP - 54
DO - 10.5220/0004599600450054
PB - SciTePress