Integrated Infrastructures for Knowledge-Guided Software Evolution and Adaptation

Proceedings of The 22nd International Conference on Software Engineering and Data Engineering, SEDE 2013, pp. 105-110. Los Angeles, CA, USA, September 2013

6 Pages Posted: 23 Nov 2013

See all articles by Norbert Jastroch

Norbert Jastroch

MET Communications

Thomas J. Marlowe

Seton Hall University

Cyril S. Ku

William Paterson University

Vassilka Kirova

Independent

Date Written: September 25, 2013

Abstract

The availability of system information and other artifactual knowledge, together with tools for knowledge acquisition, analysis and transformation, provides opportunities for deferring some design decisions and for an automated or semi-automated tuning, specialization and evolution of software models and other artifacts. We consider a conceptual framework for an integrated software evolution and adaptation infrastructure, and provide examples of its possible use.

Keywords: Software engineering, Knowledge capture, Artifactual knowledge, Data mining, Knowledge discovery, Model adaptation, System evolution

Suggested Citation

Jastroch, Norbert and Marlowe, Thomas J. and Ku, Cyril S. and Kirova, Vassilka, Integrated Infrastructures for Knowledge-Guided Software Evolution and Adaptation (September 25, 2013). Proceedings of The 22nd International Conference on Software Engineering and Data Engineering, SEDE 2013, pp. 105-110. Los Angeles, CA, USA, September 2013. Available at SSRN: https://ssrn.com/abstract=2358590

Norbert Jastroch (Contact Author)

MET Communications ( email )

Eschbacher Weg 10
Bad Homburg, 61352
Germany

Thomas J. Marlowe

Seton Hall University ( email )

400 S Orange Avenue
South Orange, NJ 07079
United States

Cyril S. Ku

William Paterson University ( email )

300 Pompton Road
Wayne, NJ 07470
United States

Vassilka Kirova

Independent ( email )

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