METHOD FOR SELECTION OF PROJECT MANAGEMENT APPROACH BASED ON FUZZY CONCEPTS

Igor V. KONONENKO, Svetlana Yu. LUTSENKO

Abstract


Literature analysis of works that devoted to research of the selection a project management approach and development of effective methods for this problem solution is given. Mathematical model and method for selection of project management approach with fuzzy concepts of applicability of existing approaches are proposed. The selection is made of such approaches as the PMBOK Guide, the ISO21500 standard, the PRINCE2 methodology, the SWEBOK Guide, agile methodologies Scrum, XP, and Kanban. The number of project parameters which have a great impact on the result of the selection and measure of their impact is determined. Project parameters relate to information about the project, team, communication, critical project risks. They include the number of people involved in the project, the customer's experience with this project team, the project team's experience in this field, the project team's understanding of requirements, adapting ability, initiative, and others. The suggested method is considered on the example of its application for selection a project management approach to software development project.

Keywords


project management approach; selection; fuzzy concepts; model; method; example

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References


Shostak I. V., Danova M. A. An approach to development a strategy of development methodologies application, taking into account the features of software projects. Aerospace Engineering and Technology. 2010, no 8 (75), pp. 179–185.

Boehm B., Turner R. Using risk to balance agile and plan-driven methods. IEEE Computer Society. 2003, no. 36 (6), pp. 57–66. doi : 10.1109/MC.2003.1204376.

Rehman A., Hussain R. Software project management methodologies/frameworks dynamics “A comparative approach” Proceedings of International Conference on Information and Emerging Technologies (ICIET). Karachi, Pakistan, 2007, pp. 1–5. doi : 10.1109/ICIET.2007.4381330.

Hanif T., Limbachiya M. Selecting the right project management approach using 6P. 24th World Conference IPMA (International Project Management Association). Istanbul, Turkey, 2010, pp. 183–189.

Cockburn, A. Selecting a project's methodology. IEEE Software. 2000, vol. 17, no. 4, pp. 64–71. doi : 10.1109/52.854070.

Kononenko I.V., Aghaee A. Model and Method for Synthesis of Project Management Methodology With Fuzzy Input Data. Bulletin of NTU" KhPI". Ser. : Strategic Management, Portfolio, Program and Project Management. 2016, no. 1 (1173), pp. 9–13. doi : 10.20998/2413-3000.2016.1173.2.

Bushuyeva N. S. Yaroshenko Yu. F., Yaroshenko R. F. Upravlinnya proektamy` ta programamy` organizacijnogo rozvy`tku [Program and Project Management of Organizational Development]. Kyiv, Sammit-Knyga, 2010. 198 p.

Ilas M. E., Ionescu S., Ilas C. Selecting the appropriate project management process for R&D projects in microelectronics. U.P.B. Sci. Bull. Ser : C. 2011, vol. 73, iss. 1, pp. 105–116.

Kononenko I., Kharazii А. The method of selection of the project management methodology. International Journal of Computing. 2014, vol. 13, iss. 4, pp. 240–247.

Zadeh L. A., Fuzzy sets. Inform. and Control. 1965, no. 8, pp. 338–353. doi : 10.1016/S0019-9958(65)90241-X.

Szmidt E., Kacprzyk J. Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems. 2000, no. 114, pp. 505–518. doi : 10.1016/S0165-0114(98)00244-9.

Kononenko I. V., Agai A., Lutsenko S. Yu. Application of the project management methodology synthesis method with fuzzy input data. Eastern-European Journal of Eenterprise Technologies. 2016, no. 2/3 (80), pp. 32–39. doi : 10.15587/1729-4061.2016.65671.


GOST Style Citations


1.   Shostak I. V., Danova M. A. An approach to development a strategy of development methodologies application, taking into account the features of software projects. Aerospace Engineering and Technology. 2010, no 8 (75), pp. 179–185.

2.   Boehm B., Turner R. Using risk to balance agile and plan-driven methods. IEEE Computer Society. 2003, no. 36 (6), pp. 57–66. doi : 10.1109/MC.2003.1204376.

3.   Rehman A., Hussain R. Software project management methodologies/frameworks dynamics “A comparative approach” Proceedings of International Conference on Information and Emerging Technologies (ICIET). Karachi, Pakistan, 2007, pp. 1–5. doi : 10.1109/ICIET.2007.4381330.

4.   Hanif T., Limbachiya M. Selecting the right project management approach using 6P. 24th World Conference IPMA (International Project Management Association). Istanbul, Turkey, 2010, pp. 183–189.

5.   Cockburn, A. Selecting a project's methodology. IEEE Software. 2000, vol. 17, no. 4, pp. 64–71. doi : 10.1109/52.854070.

6.   Kononenko I.V., Aghaee A. Model and Method for Synthesis of Project Management Methodology With Fuzzy Input Data. Bulletin of NTU" KhPI". Ser. : Strategic Management, Portfolio, Program and Project Management. 2016, no. 1 (1173), pp. 9–13. doi : 10.20998/2413-3000.2016.1173.2.

7.   Bushuyeva N. S. Yaroshenko Yu. F., Yaroshenko R. F. Upravlinnya proektamy` ta programamy` organizacijnogo rozvy`tku [Program and Project Management of Organizational Development]. Kyiv, Sammit-Knyga, 2010. 198 p.

8.   Ilas M. E., Ionescu S., Ilas C. Selecting the appropriate project management process for R&D projects in microelectronics. U.P.B. Sci. Bull. Ser : C. 2011, vol. 73, iss. 1, pp. 105–116.

9.   Kononenko I., Kharazii А. The method of selection of the project management methodology. International Journal of Computing. 2014, vol. 13, iss. 4, pp. 240–247.

10. Zadeh L. A., Fuzzy sets. Inform. and Control. 1965, no. 8, pp. 338–353. doi : 10.1016/S0019-9958(65)90241-X.

11. Szmidt E., Kacprzyk J. Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems. 2000, no. 114, pp. 505–518. doi : 10.1016/S0165-0114(98)00244-9.

12. Kononenko I. V., Agai A., Lutsenko S. Yu. Application of the project management methodology synthesis method with fuzzy input data. Eastern-European Journal of Eenterprise Technologies. 2016, no. 2/3 (80), pp. 32–39. doi : 10.15587/1729-4061.2016.65671.





DOI: https://doi.org/10.20998/2413-3000.2017.1224.2

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