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Title: Supporting software systems maintenance using data mining techniques
Author: Kanellopoulos, Yiannis
ISNI:       0000 0004 2675 3393
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2008
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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:  DOI: Not available