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Analytical evaluation of agile success factors influencing quality in software industry

Author

Listed:
  • Abhishek Srivastava

    (Amity University Uttar Pradesh)

  • Deepti Mehrotra

    (Amity University Uttar Pradesh)

  • P. K. Kapur

    (Amity University Uttar Pradesh)

  • Anu G. Aggarwal

    (University of Delhi)

Abstract

To have the software development process a fruitful one we have to consider the critical factors of success of agile development. Any organisation is expected to deliver the end product timely with required and on agreed upon terms which is many a times beaten by the extended time taken to complete the software projects or also leading to unexpected increase in the budget of the projects. So today’s development processes embed agile implementation for the accelerating growth of the company, organisation with fast competition of their work. The conventional approach of software systems succumbs towards the ever changing and much needed twist of the “Agile process” to be implemented. Agile focuses on collaborative work for the lifecycle of the project to continue iteratively with anticipating changes and introducing more flexibility than prior traditional approaches. Small sprints remain utilized which are mandatory for effective item conveyance. Conventional programming advancement forms are very little proficient to deal with the fast change in necessities. In spite of the upsides of Agile, feedback on deft approach expresses that it neglects to focus on building and configuration issues and subsequently will undoubtedly create little outline decisions. Agile programming improvement has quickly picked up a great deal of enthusiasm for the field of programming designing. Agile programming development, in spite of its curiosity, is a critical area of research inside programming building discipline. Logical research is yet rare, there has been minimal nitty gritty revealing of the use, entrance and achievement of light-footed systems in customary, proficient programming advancement organisations. In this paper we will evaluate the agile success factors for the product outcomes. The manuscript takes the approach for deciding best agile success factors influencing quality in software industry using analytic network process (ANP). This paper applies ANP to conclude the best way out using nine criteria namely Agile implementation, root cause analysis, mutation testing, cycle time, test and learn approach, continuous integration, process action, IT governance strategy, organisational change, effective risk mitigation, feedback, tangible outcomes, and two alternatives in the form Scrum and Kanban agile framework. The projected approach was tested in a organisation application in software reliability, software development environment and this paper evaluates its effectiveness by giving the weightage to the factor by realising the precise objective.

Suggested Citation

  • Abhishek Srivastava & Deepti Mehrotra & P. K. Kapur & Anu G. Aggarwal, 2020. "Analytical evaluation of agile success factors influencing quality in software industry," 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. 11(2), pages 247-257, July.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-020-00966-z
    DOI: 10.1007/s13198-020-00966-z
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    References listed on IDEAS

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    1. Saaty, T. L. & Vargas, L. G., 1979. "Estimating technological coefficients by the analytic hierarchy process," Socio-Economic Planning Sciences, Elsevier, vol. 13(6), pages 333-336.
    2. Viral Gupta & P. K. Kapur & Deepak Kumar, 2016. "Modelling and measuring code smells in enterprise applications using TISM and two-way assessment," 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(3), pages 332-340, September.
    3. Vijay Kumar & P.K. Kapur & Naman Taneja & Ramita Sahni, 2017. "On allocation of resources during testing phase incorporating flexible software reliability growth model with testing effort under dynamic environment," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 30(4), pages 523-539.
    4. Prince, J. & Kay, J. M., 2003. "Combining lean and agile characteristics: Creation of virtual groups by enhanced production flow analysis," International Journal of Production Economics, Elsevier, vol. 85(3), pages 305-318, September.
    5. Chung, Seungwha (Andy) & Kim, Gyeong Mook, 2003. "Performance effects of partnership between manufacturers and suppliers for new product development: the supplier's standpoint," Research Policy, Elsevier, vol. 32(4), pages 587-603, April.
    6. Thomas L. Saaty & Luis G. Vargas, 2013. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, edition 2, chapter 0, pages 1-40, Springer.
    7. Thomas L. Saaty & Luis G. Vargas, 2013. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-7279-7, April.
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    Cited by:

    1. Alok Mishra & Yehia Ibrahim Alzoubi, 2023. "Structured software development versus agile software development: a comparative 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. 14(4), pages 1504-1522, August.

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