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Group Approximation of Task Duration and Time Buffers in Scrum

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Book cover Transactions on Computational Collective Intelligence XXVII

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 10480))

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Abstract

Expansion of modern IT technologies, which took place last years, caused a significant increase in software projects. Those projects are quite often complex venture burdened with high risk. Nowadays, a large number of software projects is managed using Scrum framework. In Scrum, where people form self-organizing team, group decisions became an essential element of the project, which plays an important role to create time approximation or to manage potential risks. This paper focuses on group decisions, temporal aspects of estimation and risk management in Scrum project. In article we present conceptual model of extension Scrum framework by risk management process in aspect of project time estimation. Proposed model contains time buffers based on mixture probability distribution, which improve Scrum framework in terms of group estimation. We also depict case study which presents time approximation process which took place in one of a Scrum project.

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References

  1. Manifesto for Agile Software Development (2001). http://agilemanifesto.org. Accessed Jan 2017

  2. The 2015 State of Scrum Report. Scrum Alliance (2015)

    Google Scholar 

  3. Schwaber, K., Sutherland, J.: The Scrum Guide. The Definitive Guide to Scrum: The Rules of the Game. Scrum.Org and ScrumInc. (2016)

    Google Scholar 

  4. Takeuchi, H., Nonaka, I.: The new new product development game: Stop running the relay race and take up rugby. Harvard Bus. Rev. 137–146 (1986)

    Google Scholar 

  5. Canty, D.: Agile for Project Managers. Best Practices and Advances in Program Management Series. CRC Press Tylor and Francis Group (2015)

    Google Scholar 

  6. Singh, M., Saxena, R.: Risk management in agile model. IOSR J. Comput. Eng. 16, 43–46 (2014)

    Google Scholar 

  7. Tomanek, M., Juricek, J.: Project risk management model based on PRINCE2 and scrum frameworks. Int. J. Softw. Eng. Appl. 6, 81–88 (2015)

    Google Scholar 

  8. Reddaiah, B., Ravi, S., Movva, L.: Risk management board for effective risk management in scrum. Int. J. Comput. Appl. 65, 16–23 (2013)

    Google Scholar 

  9. Uikey, N., Suman, U.: Risk based scrum method: a conceptual framework. In: Hoda, M.N. (Ed.) Proceedings of the 9th INDIACom; INDIACom-2015, IEEE Conference ID: 35071 2015 2nd International Conference on “Computing for Sustainable Global Development”, 11th–13th March 2015, Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, pp. 4.120–4.125 (2015)

    Google Scholar 

  10. Andrat, H., Jaswal, S.: An alternative approach for risk assessment in scrum. In: Proceedings of 2015 International Conference on Computing and Network Communications (CoCoNet 2015), Trivandrum, India, 16–19 December 2015, pp. 535–539 (2015)

    Google Scholar 

  11. Janczura, M., Kuchta D.: Proactive and reactive scheduling in practice. Research Papers of Wrocław University of Economics, Wrocław, vol. 238, p. 38 (2011)

    Google Scholar 

  12. Cahierre, R., Kuchta, D., Ślusarczyk, A.: Application of Buffers in Project Management. Research Papers of University of Economics in Katowice 235, 34–46 (2015). in Polish

    Google Scholar 

  13. Singh, V.: Agile Estimation Techniques. Scrum Alliance. https://www.scrumalliance.org/community/articles/2016/january/agile-estimation-techniques. Accessed Jan 2017

  14. Cohn, M.: Don’t Average During Planning Poker. Mountain Goat Software (2007). https://www.mountaingoatsoftware.com/blog/dont-average-during-planning-poker. Accessed Jan 2017

  15. Malcolm, D.G., Rosenboom, J.H., Clark, C.E., Fazar, W.: Application of a technique for research and development program evaluation. Oper. Res. 7, 646–669 (1959)

    Article  MATH  Google Scholar 

  16. Gallagher, C.A.: A note on PERT assumptions. Manage. Sci. 33, 1360 (1987)

    Article  MathSciNet  Google Scholar 

  17. Kamburowski, J.: New validations of PERT times. Int. J. Manag. Sci. 25, 323–328 (1997)

    Google Scholar 

  18. Mitchell, I.: Should we or should we not estimate tasks? Scrum.org. (2012). https://www.scrum.org/Forums/aft/229. Accessed Jan 2017

  19. Goldratt, E.M.: Critical Chain. North River Press, Massachusetts (1997)

    Google Scholar 

  20. Reinertsen, D.G.: Managing the Design Factory: a Product Developers’s Toolkit. Free Press, New York (1997)

    Google Scholar 

  21. Fallah, M., Ashtiani, B., Aryanezhad, M.B.: Critical chain project scheduling: utilizing uncertainty for buffer sizing. Int. J. Res. Rev. Appl. Sci. 3, 280–289 (2010)

    Google Scholar 

  22. Cohn, M.: Agile Estimation and Planning. Robert C. Martin Series. Pearson Education Incorporation, Upper Saddle River (2006)

    Google Scholar 

  23. Gładysz, B., Kuchta, D., Skorupko, D., Duchaczek, A.: Project risk time management: a proposed model and a case study in the construction industry. Procedia Comput. Sci. 64, 24–31 (2015)

    Article  Google Scholar 

  24. Leach, L.P.: Critical Chain Project Management. Artech House, Norwood (2000)

    Google Scholar 

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Correspondence to Barbara Gładysz .

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Gładysz, B., Pawlicki, A. (2017). Group Approximation of Task Duration and Time Buffers in Scrum. In: Mercik, J. (eds) Transactions on Computational Collective Intelligence XXVII. Lecture Notes in Computer Science(), vol 10480. Springer, Cham. https://doi.org/10.1007/978-3-319-70647-4_12

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  • DOI: https://doi.org/10.1007/978-3-319-70647-4_12

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  • Publisher Name: Springer, Cham

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