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Enhancing Behavioral Dependency for Effective Computing in Software

Author

Listed:
  • Deepa Bura

    (Manav Rachna International Institute of Research and Studies, India)

  • Amit Choudhary

    (Maharaja Surajmal Institute, India)

Abstract

Software plays an important role in effective computing and communication of any services. It become crucial to identify some critical parts of the software that can lead to enhanced computing and increases efficiency of the software. Dependency plays a significant role in finding relationship amongst classes and predicting change prone classes. This paper aims to enhance Behavioral Dependency by defining 6 types of dependencies amongst classes. These are (i) direct behavioral dependency (ii) indirect behavioral dependency (iii) internal behavioral dependency (iv) external behavioral dependency (v) indirect internal behavioral dependency and (vi) Indirect External Behavioral Dependency. Evaluating these dependencies, gives accurate results for the prediction of change prone classes. Further, paper compares proposed approach with existing methods.

Suggested Citation

  • Deepa Bura & Amit Choudhary, 2022. "Enhancing Behavioral Dependency for Effective Computing in Software," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 11(2), pages 1-23, August.
    • Handle: RePEc:igg:jsda00:v:11:y:2022:i:2:p:1-23
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDA.20220701.oa1
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    References listed on IDEAS

    as
    1. Brian J. Galli, 2020. "Application of Systems Engineering to Risk Management: A Relational Review," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 9(2), pages 1-23, April.
    2. Deepa Bura & Amit Choudhary, 2020. "A novel change impact model for enhancing project management," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 12(2), pages 119-132.
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