research unit 1

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Type of publication:Article
Entered by:
TitleClustering for Monitoring Software Systems Maintainability Evolution.
Bibtex cite IDRACTI-RU1-2009-114
Journal Electr. Notes Theor. Comput. Sci.
Year published 2009
Note to appear
Keywords evaluation,software,maintainability,data mining
This paper presents ongoing work on using data mining clustering to support the evaluation of software systems' maintainability. As input for our analysis we employ software measurement data extracted from Java source code. We propose a two-steps clustering process which facilitates the assessment of a system's maintainability at rst, and subsequently an in-cluster analysis in order to study the evolution of each cluster as the system's versions pass by. The process is evaluated on Apache Geronimo, a J2EE 1.4 open source Application Server. The evaluation involves analyzing several versions of this software system in order to assess its evolution and maintainability over time. The paper concludes with directions for future work.
Antonellis, Panos
Antoniou, Dimitris
Kanellopoulos, Yiannis
Makris, Christos
Theodoridis, Evangelos
Tjortjis, Christos
Tsirakis, Nikos
Clustering-for-Monitoring-Software-Systems-Maintainability-Evolution.pdf (main file)
Publication ID799