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Assessment of environmental factors affecting software development process using ISM & MICMAC analysis

Author

Listed:
  • Rana Majumdar

    (Amity University)

  • P. K. Kapur

    (Amity University)

  • Sunil K. Khatri

    (Amity University)

Abstract

Changing trends and globalization has given rise to various challenges to the software industry. Today the repute of any software engineering is related to its quality and timely delivery of product. The repute also depends on how the industry keeps in pace with the new expertise and changing market situation. The factors like transparency, recognition, work life balance etc. play an imperative part in preserving the reasonable edge. The ISM is a methodology for interactive learning process. In this method the factors that affect the system directly or indirectly are outlined into a complete structure model. The major advantage of the ISM model is its graphical representations of identified factors in a structured manner is indeed the subject in consideration. As a tool, it organizes the elements affecting the system’s credibility. It also highlights the hierarchical complexity among the factors of the system. The ultimate necessity is to analyze the performance of these factors for their operative application in the execution of software development process. The main objective of this paper is to identify the shared communication of these factors and identify the driving and dependent factors. In this work an ISM model has been prepared to recognize significant factors and their administrative consequences from software release time point of view.

Suggested Citation

  • Rana Majumdar & P. K. Kapur & Sunil K. Khatri, 2016. "Assessment of environmental factors affecting software development process using ISM & MICMAC analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(4), pages 435-441, December.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:4:d:10.1007_s13198-016-0477-4
    DOI: 10.1007/s13198-016-0477-4
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    References listed on IDEAS

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    1. Vineet Jain & Tilak Raj, 2015. "A hybrid approach using ISM and modified TOPSIS for the evaluation of flexibility in FMS," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 19(3), pages 389-406.
    2. B. S. Dhillon, 2007. "Human Reliability and Error in Transportation Systems," Springer Series in Reliability Engineering, Springer, number 978-1-84628-812-8, February.
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    Cited by:

    1. Nitasha Hasteer & Abhay Bansal & B. K. Murthy, 2017. "Assessment of cloud application development attributes through interpretive structural modeling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1069-1078, November.
    2. M. Suresh & G. Mahadevan & R. Dev Abhishek, 2019. "Modelling the factors influencing the service quality in supermarkets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1474-1486, December.
    3. Shailendra Kumar & Manik Gupta & Mohd Suhaib & Mohammad Asjad, 2021. "Current status, enablers and barriers of implementing cellular manufacturing system in sports industry through ISM," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 345-360, June.

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