Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496254
Title: Supporting software systems maintenance using data mining techniques
Author: Kanellopoulos, Yiannis
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2008
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Abstract:
Data mining and its ability to handle large amounts of data and uncover hidden patterns has the potential to facilitate the comprehension and maintainability evaluation of a software system. Source code artefacts and measurement values can be used as input to data mining algorithms in order to provide insights into a system's structure or to create groups of artefacts with similar software measurements. This thesis investigates the applicability and suitability of data mining techniques to facilitate a the comprehension and maintainability evaluation of a software system's source code.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.496254  DOI: Not available
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