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Assessment of cloud application development attributes through interpretive structural modeling

Author

Listed:
  • Nitasha Hasteer

    (Amity University, Uttar Pradesh)

  • Abhay Bansal

    (Amity University, Uttar Pradesh)

  • B. K. Murthy

    (Centre for Development of Advanced Computing)

Abstract

Software Development Community is moving towards adopting cloud due to the innumerous benefits of this computing paradigm. Cloud applications are architecturally required to be service oriented and therefore the software development process for developing cloud applications possess certain attributes to fully realize the potential of this computing and be aligned with the service dominant perspective. The purpose of this study is to identify, analyze and investigate the attributes of software development process for cloud application development to formulate a relational model. We used interpretive structural modeling approach to establish contextual relationship amongst the identified attributes and proposed a hierarchical structural model. The attributes are classified on the basis of their driving and dependence power through Impact Matrix Cross reference Multiplication applied to Classification. From the results, we observe that imbibing lean software development principles and model driven development emerge as strong driving attributes for cloud application development process.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0571-2
    DOI: 10.1007/s13198-017-0571-2
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. 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.
    2. Nitasha Hasteer & Rahul Sindhwani & Abhishek Behl & Akul Varshney & Adityansh Sharma, 2024. "Exploring the inhibitors for competitive AI software development through cloud driven transformation," Annals of Operations Research, Springer, vol. 342(1), pages 355-397, November.

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