Abstract

AbstractIn the software development life cycle, software maintenance phase needs much time and effort of programmer analysts in maintaining the software. With the proliferation of software applications in the agile development environment, it is highly challenging and vital to cope up with software evolution and maintenance. Software maintenance could be carried out using static and dynamic analysis of source code. Recently, text mining techniques are widely used in static analysis of source code. In this work, a tool is designed to automatically label the components with the classes referred by them using text mining and formal concept analysis. This tool can be deployed in the software engineering tasks like architecture recovery and change impact analysis. KeywordsText miningClusteringFormal concept analysisSoftware maintenance

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