A Review on Software Mining: Current Trends and Methodologies
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 4
Abstract
With the evolution of Software Mining, it has enabled to play a crucial role in the day to day activities .By empowering the software with the data mining methods it aids all the software developers and the managers at a the managerial levels to use it as a tool for knowledge discovery from the relative software engineering data (in the form of code, design documents, bug reports) that would help in visualizing the project‟s status of evolution and progress. To add on, further all the mining methods and algorithms help to device the models that would result in the development of any fault prone real time system prior to the testing phase or the evolution phase. This review paper will highlight the different methodologies for software mining along with its extension as a tool for fault tolerance and bibliographic reference with the special eminence on mining the software engineering information. Index Terms: detection strategies, prediction strategy, fault, metrics thresholds, software metrics, software fault prediction, software quality, MUD(mining Unstructured Data)
Authors and Affiliations
Gurtej Singh Ubhi, Jaspreet Kaur Sahiwal
Keywords
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