Filtered mining in program code repositories

Filtered mining in program code repositories

An approach to automatically mine program code repositories in order to support software reuse is proposed in this paper. Code attributes and structural relationships are used to find and rank the potential elements based on a given query. Static program analysis is used to allow a filtered mining t...

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1. Verfasser: Taibi, F.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accuracy
Complexity theory
Data mining
Measurement
Mining Source Code Repositories
Program Comprehension
Software engineering
Software Metrics
Software reusability
Software Reuse
Static Program Analysis
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description An approach to automatically mine program code repositories in order to support software reuse is proposed in this paper. Code attributes and structural relationships are used to find and rank the potential elements based on a given query. Static program analysis is used to allow a filtered mining through three well-established metrics that have a direct impact on code quality. The approach has been empirically evaluated and the results obtained were promising.
doi_str_mv 10.1109/InfRKM.2012.6204986
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Complexity theory
Data mining
Measurement
Mining Source Code Repositories
Program Comprehension
Software engineering
Software Metrics
Software reusability
Software Reuse
Static Program Analysis
title Filtered mining in program code repositories
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