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Software Redocumentation Using Distributed Data Processing Technique to Support Program Understanding for Legacy System: A Proposed Approach

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Advances in Visual Informatics (IVIC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13051))

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Abstract

Source code is the most updated source among all the available software artifacts. The majority of existing software redocumentation approaches relied on source code to extract the necessary information for program comprehension in order to support software maintenance tasks. However, performing Extract, Transform and Load (ETL) using a parser from the source code becoming a challenging task. The traditional approach is no longer able to handle the ETL efficiently due to the effect of the analysis efficiency, especially for large source code. This paper proposed to use distributed data processing technique to extract legacy source code components to generate detailed designed or technical software documentation at source code level to support program understanding. The objective of this paper is to apply the distributed data processing technique to the parser by using Hadoop Distributed File System and Apache Spark. Legacy java source code used as a case study to apply our proposed approach to extract the source code components and generate the technical software documentation.

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Author information

Authors and Affiliations

  1. Universiti Tunku Abdul Rahman, Sungai Long Campus, Jalan Sungai Long, Bandar Sungai Long, 43000, Kajang, Selangor, Malaysia

    Sugumaran Nallusamy & Hoo Meei Hao

  2. Universiti Teknologi MARA, Kuala Pilah Campus, 72000, Shah Alam, Negeri Sembilan, Malaysia

    Farizuwana Akma Zulkifle

Authors
  1. Sugumaran Nallusamy
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  2. Hoo Meei Hao
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  3. Farizuwana Akma Zulkifle
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Corresponding authors

Correspondence to Sugumaran Nallusamy , Hoo Meei Hao or Farizuwana Akma Zulkifle .

Editor information

Editors and Affiliations

  1. Universiti Tenaga Nasional, Selangor, Malaysia

    Halimah Badioze Zaman

  2. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  3. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  4. Queen Mary University of London, London, UK

    Sergio Velastin

  5. Toyo University, Tokyo, Japan

    Tada Terutoshi

  6. University of Southern Denmark, Odense, Denmark

    Bo Nørregaard Jørgensen

  7. Universiti Tenaga Nasional, Selangor, Malaysia

    Hazleen Aris

  8. Universiti Tenaga Nasional, Selangor, Malaysia

    Nazrita Ibrahim

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Nallusamy, S., Hao, H.M., Zulkifle, F.A. (2021). Software Redocumentation Using Distributed Data Processing Technique to Support Program Understanding for Legacy System: A Proposed Approach. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_21

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  • DOI: https://doi.org/10.1007/978-3-030-90235-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90234-6

  • Online ISBN: 978-3-030-90235-3

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