IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v11y2020i2d10.1007_s13198-020-00966-z.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-020-00966-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-020-00966-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rachele Corticelli & Margherita Pazzini & Cecilia Mazzoli & Claudio Lantieri & Annarita Ferrante & Valeria Vignali, 2022. "Urban Regeneration and Soft Mobility: The Case Study of the Rimini Canal Port in Italy," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    2. David Staš & Radim Lenort & Pavel Wicher & David Holman, 2015. "Green Transport Balanced Scorecard Model with Analytic Network Process Support," Sustainability, MDPI, vol. 7(11), pages 1-19, November.
    3. Clara Moreira Senne & Josiane Palma Lima & Fábio Favaretto, 2021. "An Index for the Sustainability of Integrated Urban Transport and Logistics: The Case Study of São Paulo," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    4. Mohammed Ifkirne & Houssam El Bouhi & Siham Acharki & Quoc Bao Pham & Abdelouahed Farah & Nguyen Thi Thuy Linh, 2022. "Multi-Criteria GIS-Based Analysis for Mapping Suitable Sites for Onshore Wind Farms in Southeast France," Land, MDPI, vol. 11(10), pages 1-26, October.
    5. Enrique Mu & Howard Stern, 2018. "A Contingent/Assimilation Framework for Public Interorganizational Systems Decisions: Should the City of Pittsburgh and Allegheny County Consolidate Information Technology Services?," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1611-1658, November.
    6. Toly Chen, 2021. "A diversified AHP-tree approach for multiple-criteria supplier selection," Computational Management Science, Springer, vol. 18(4), pages 431-453, October.
    7. Hocine, Amine & Kouaissah, Noureddine, 2020. "XOR analytic hierarchy process and its application in the renewable energy sector," Omega, Elsevier, vol. 97(C).
    8. Abrahamsen, Eirik Bjorheim & Milazzo, Maria Francesca & Selvik, Jon T. & Asche, Frank & Abrahamsen, HÃ¥kon Bjorheim, 2020. "Prioritising investments in safety measures in the chemical industry by using the Analytic Hierarchy Process," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    9. Haneen Abuzaid & Mahmoud Awad & Abdulrahim Shamayleh, 2024. "Photovoltaic Modules’ Cleaning Method Selection for the MENA Region," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
    10. Paweł Ziemba, 2019. "Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management," Energies, MDPI, vol. 12(4), pages 1-29, February.
    11. Ferry Syarifuddin, 2022. "Towards Green Economy Transformation Through Islamic Green Financing: Managing Risk And Fostering Sustainable Growth For The Real And Financial Sectors," Working Papers WP/05/2022, Bank Indonesia.
    12. Ya Wu & Chenyang Shuai & Liu Wu & Liyin Shen & Jianzhong Yan & Liudan Jiao & Shiju Liao, 2020. "A new experience mining approach for improving low carbon city development," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 922-934, July.
    13. Mokarram, Marzieh & Mirsoleimani, Abbas, 2018. "Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 506-518.
    14. Guangying Jin, 2022. "Designer Selection for Complex Engineering System Design Projects Considering the Disciplines Demanded," Sustainability, MDPI, vol. 14(23), pages 1-25, December.
    15. Qingfu Li & Chuangshi Fan, 2022. "Evaluation of Hydraulic-Tunnel-Lining Durability Based on ANP and Cloud-Model-Improved Matter–Element Theory," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    16. Alok K. Pandey & R. Krishankumar & Dragan Pamucar & Fausto Cavallaro & Abbas Mardani & Samarjit Kar & K. S. Ravichandran, 2021. "A Bibliometric Review on Decision Approaches for Clean Energy Systems under Uncertainty," Energies, MDPI, vol. 14(20), pages 1-27, October.
    17. Joram Schito & Joshu Jullier & Martin Raubal, 2019. "A framework for integrating stakeholder preferences when deciding on power transmission line corridors," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 159-195, November.
    18. Melani, Arthur Henrique Andrade & Murad, Carlos Alberto & Caminada Netto, Adherbal & Souza, Gilberto Francisco Martha de & Nabeta, Silvio Ikuyo, 2018. "Criticality-based maintenance of a coal-fired power plant," Energy, Elsevier, vol. 147(C), pages 767-781.
    19. Mansour Alyahya & Meqbel Aliedan & Gomaa Agag & Ziad H. Abdelmoety, 2023. "Understanding the Relationship between Big Data Analytics Capabilities and Sustainable Performance: The Role of Strategic Agility and Firm Creativity," Sustainability, MDPI, vol. 15(9), pages 1-17, May.
    20. Yasmin, Mariam & Tatoglu, Ekrem & Kilic, Huseyin Selcuk & Zaim, Selim & Delen, Dursun, 2020. "Big data analytics capabilities and firm performance: An integrated MCDM approach," Journal of Business Research, Elsevier, vol. 114(C), pages 1-15.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-020-00966-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.