Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Graph-based implicit knowledge discovery from architecture change logs

Aakash, Ahmad and Jamshidi, Pooyan and Arshad, Muteer and Pahl, Claus (2012) Graph-based implicit knowledge discovery from architecture change logs. In: Seventh Workshop on SHAring and Reusing architectural Knowledge (SHARK 2012), August 2, 2012, Helsinki, Finland. ISBN 978-1-4503-1568-5

Full text available as:

[img]PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
210Kb

Abstract

Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to accommodate changing requirements in existing architecture. We investigate change logs in order to analyse operational representation of architecture change instances to discover an implicit evolution-centric knowledge that have been aggregating over time. Change instances from the log are formalised as a typed attributed graph with its node and edge attribution capturing change representation on architecture elements. We exploit graph matching as a knowledge discovery technique in order to i) analyse change operationalisation and its dependencies for ii) discovering recurrent change sequences in the log. We identify potentially reusable, usage-determined change patterns.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:metrics; Service-Driven Architecture; Reuse; Evolution Knowledge
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Proceedings of the WICSA/ECSA 2012 Companion Volume. . ACM DL. ISBN 978-1-4503-1568-5
Publisher:ACM DL
Official URL:http://doi.acm.org/10.1145/2361999.2362024
Copyright Information:© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the WICSA/ECSA 2012 Companion Volume http://doi.acm.org/10.1145/2361999.2362024
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Lero
ID Code:17091
Deposited On:11 Sep 2012 12:21 by Claus Pahl. Last Modified 11 Sep 2012 12:21

Download statistics

Archive Staff Only: edit this record