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Using structural similarity for effective retrieval of knowledge from class diagrams

Using structural similarity for effective retrieval of knowledge from class diagrams

Wolf, Markus, Petridis, Miltos and Ma, Jixin (2013) Using structural similarity for effective retrieval of knowledge from class diagrams. In: Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer International Publishing, Switzerland, pp. 185-198. ISBN 9783319026206 (doi:https://doi.org/10.1007/978-3-319-02621-3_13)

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Abstract

Due to the proliferation of object-oriented software development, UML software designs are ubiquitous. The creation of software designs already enjoys wide software support through CASE (Computer-Aided Software Engineering) tools. However, there has been limited application of computer reasoning to software designs in other areas. Yet there is expert knowledge embedded in software design artefacts which could be useful if it were successfully retrieved. While the semantics tags are an important aspect of a class diagram, the approach formulated here uses only structural information. It is shown that by applying case-based reasoning and graph matching to measure similarity between class diagrams it is possible to identify proprieties of an implementation not encoded within the actual diagram, such as the domain, programming language, quality and implementation cost. The practical applicability of this research is demonstrated in the area of cost estimation.

Item Type: Conference Proceedings
Title of Proceedings: Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
Additional Information: [1] This paper was first presented at Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence held from 10-12 December 2013 in Cambridge, England, UK. It was given within Technical Session T1: Representation and Reasoning on 11 December 2011. [2] ISBN: 9783319026206 (Print); 9783319026213 (Online)
Uncontrolled Keywords: structural similarity, knowledge class diagrams, artificial intelligence, robotics, data mining, knowledge discovery
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:28
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/11783

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