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Emerging Research in Data Engineering Systems and Computer Communications pp 473–486Cite as

Automatically Labeling Software Components with Concept Mining

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1054))

Abstract

In 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.

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Notes

  1. 1.

    https://www.github.com.

  2. 2.

    https://poi.apache.org.

  3. 3.

    https://zendo.org/record/1195817#.XHu2nAzbIU.

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Author information

Authors and Affiliations

  1. Computer Science, Sri Meenakshi Govt. Arts College for Women(Autonomous), Madurai, Tamil Nadu, India

    A. S. Baby Rani

  2. Mohammed Sathak Hamid College of Arts and Science for Women, Ramanathapuram, Tamil Nadu, India

    A. R. Nadira Banu Kamal

Authors
  1. A. S. Baby Rani
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  2. A. R. Nadira Banu Kamal
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Corresponding author

Correspondence to A. S. Baby Rani .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Sri Padmavati Mahila University, Tirupathi, Andhra Pradesh, India

    P. Venkata Krishna

  2. Department of ECE, Nazarbayev University, Astana, Kazakhstan

    Mohammad S. Obaidat

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Baby Rani, A., Nadira Banu Kamal, A. (2020). Automatically Labeling Software Components with Concept Mining. In: Venkata Krishna, P., Obaidat, M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_44

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