DOI: https://doi.org/10.15588/1607-3274-2019-4-13

SOFTWARE FOR VALUE MONITORING AS AN ADAPTATION TOOL FOR CHANGES IN PROJECT STEAKHOLDERS’ REQUIREMENTS

Yu. Yu. Husieva, I. V. Chumachenko

Abstract


Context. In a dynamic environment where stakeholder requirements may change, traditional project monitoring and control methods
have some limitations. Therefore, there is a need to develop approaches and appropriate software to monitor the requirements of the software
project stakeholders, in particular, taking into account their personal assessment of the value of requirements and resources.
Objective. The goal of the work is the development of a method for monitoring the value of the software project stakeholders’ requirements
and the corresponding tools for its implementation.
Method. Methods of analysis and synthesis, operations on matrices, a system of weighting coefficients of Fishburne, methods of the project
management theory are used. A value-based approach to monitoring the requirements of the project stakeholders is proposed. The approaches
to determining the value of the requirements of stakeholders are proposed based on available information from standard project
documents. The method of project stakeholders’ value monitoring, in particular, for software projects, and the appropriate tools for its implementation
are proposed.
Results. Based on the value-added approach to monitoring requirements, tools have been developed to track the achievement of the project's
planned value. Compliance of the proposed method with the processes of traditional project management allows using standard software
for generating initial data and displaying the results of calculations.
Conclusions. Based on the method of the earned requirements of the project, a method of requirements’ value monitoring has been developed
that, unlike existing ones, will allow to take into account personal assessments of the value of requirements and resources during
project monitoring; to carry out relevant forecasts and develop strategies for working with certain interested parties or groups. The tools of
using the proposed method in the MS Project environment provide information support for making fundamental decisions on adapting the
project to changes in the requirements of stakeholders, in particular, the schedule variance and schedule performance index is calculated. The
prospect of further research is to solve the problem of optimizing the distribution of resources in the project in the conditions of maximizing
the achieved value of the project.

Keywords


Requirements management, project, value, monitoring, stakeholders.

References


Pellerin R., Perrier N. A review of methods, techniques and tools for project planning and control, International Journal of

Production Research, 2018, No. 57(2), pp. 1–19. DOI:10.1080/00207543.2018.1524168

Husieva Yu. Yu., Martynenko O. S., Chumachenko I. V. Dynamichnii analiz metodiv ta instrumentalnykh zasobiv upravlinnia

zatsikavlenymy storonamy proektiv, Upravlinnia rozvytkom skladnykh system: zb. nauk. prats, 2018, No. 35, pp. 27–36.

Martynenko O., Husieva Yu., Chumachenko I. The method of earned requirements for project monitoring, Innovative technologies and scientific solutions for industries, 2017, No. 1, pp. 57–63. DOI: 10.30837/2522-9818.2017.1.058

Husieva Yu. Yu., Martynenko O. S., Chumachenko I. V. Instrumentalni zasoby realizatsii monitorynhu vymoh u proekti v

MS Project, Upravlinnia rozvytkom skladnykh system: zb. nauk. prats, 2017, No. 31, pp. 26–31.

Husieva Yu. Yu., Martynenko O. S., Chumachenko I. V. Matrychna model 4R & WS dlia klasyfikatsii steikkholderiv

proektu, Visnyk Natsionalnoho tekhnichnoho universytetu «KhPI»: zb. nauk. prats, 2017, № 2 (1224), pp. 17–22.

A Guide to the Project Management Body of Knowledge (PMBOK®Guide) – 6th Edition. Newtown Square, Pa.: Project

Management Institute, Inc., 2017, 756 p.

Practice Standard for Earned Value Management – Second Edition. Newtown Square, Pa.: Project Management Institute,

Inc., 2011, 135 p.

Acebes F., Pajares J., Galán J. M. et al. A New Approach for Project Control Under Uncertainty. Going Back to the Basics,

International Journal of Project Management. 2014, No. 32 (3). pp. 423–434. DOI: 10.1016/j.ijproman.2013.08.003

Batson R. G. Project Risk Identification Methods for Construction Planning and Execution, Proceedings of the 2009 Construction

Research Congress, ASCE, 2009, pp. 746–755. DOI:10.1061/41020(339)76

Czemplik A. Application of Earned Value Method to Progress Control of Construction Projects, Procedia Engineering 91,

, pp. 424–428. DOI: 10.1016/j.proeng.2014.12.087

The official site for Earned Schedule information [Electronic resource]. Acces mode: http://www.earnedschedule.com/

Liu L., Su Y. The Control Model of Engineering Cost in Construction Phase of High-speed Railway, Proceeding of the 5th

International Conference on Computer Sciences and Convergence Information Technology, IEEE, 2010, pp. 766–771. DOI:

1109/ICCIT.2010.5711158

Martens A., Vanhoucke M. A Buffer Control Method for Topdown Project Control, European Journal of Operational Research,

, No. 262 (1), pp. 274–286. DOI:10.1016/j.ejor.2017.03.034

Lipke W., Zwikael O., Henderson K. et al. Prediction of Project Outcome – The Application of Statistical Methods to Earned

Value Management And Earned Schedule Performance Indexes, International Journal of Project Management, 2009, No. 27 (4),

pp. 400–407. DOI: 10.1016/j.ijproman.2008.02.009

Plaza M., Turetken O. A Model-based DSS for Integrating the Impact of Learning in Project Control, Decision Support Systems,

, No. 47 (4), pp. 488–499. DOI:10.1016/j.dss.2009.04.010

Batselier J., Vanhoucke M. Evaluation of Deterministic Stateof-the-Art Forecasting Approaches for Project Duration Based

on Earned Value Management, International Journal of Project Management, 2015, No. 33 (7), pp. 1588–1596. DOI:

1016/j.ijproman.2015.04.003

Willems L. L., Vanhoucke M. Classification of Articles and Journals on Project Control and Earned Value Management, International Journal of Project Management, 2015, No. 33 (7), pp. 1610–1634. DOI: 10.1016/j.ijproman.2015.06.003

San Cristobal, J. R. 2017. “The S-curve Envelope as a Tool for Monitoring and Control of Projects.” Procedia Computer Science

: 756–761.

Sabeghi N., Tareghian H. R., Demeulemeester E. et al. Determining the Timing of Project Control Points Using a Facility

Location Model and Simulation, Computers and Operations Research, 2015, No. 61, pp. 69–80. DOI:10.1016/j.cor.2015.03.006

Leu S.-S., Lin Y.-C. Project Performance Evaluation Based on Statistical Process Control Techniques, Journal of Construction

Engineering and Management, 2008, No. 134 (10), pp. 813–819. DOI: 10.1061/(ASCE)0733-9364(2008)134:10(813)

Husieva Yu. Iu., Martynenko O. S., Kadykova I. M. et al Metryky protsesiv upravlinnia ta kontroliu vymoh u proektakh,

Radio Electronics, Computer Science, Control, 2017, No. 4, pp. 179–186. DOI: 10.15588/1607-3274-2017-4-20

Vitlinskyi V. V., Nakonechnyi S. I., Sharapov O. D. Ekonomichnyi ryzyk i metody yoho vymiriuvannia, Kiev, IZMN, 1996, 400 p.

Teoryia prohnozyrovanyia y pryniatyia reshenyi. Pod. red. S. A. Sarkysiana. Moscow, Vyshaia shkola, 1977, 353 p.

Vitlinskyi V. V., Verchenko P. I. Analiz, modeliuvannia ta upravlinnia ekonomichnym ryzykom. Kiev, KNEU, 2000, 292 p.


GOST Style Citations


1. Pellerin R. A review of methods, techniques and tools for project planning and control / R. Pellerin, N. Perrier //
International Journal of Production Research. – 2018. – № 57(2) – P. 1–19. DOI: 10.1080/00207543.2018.1524168
2. Гусєва Ю. Ю. Динамічній аналіз методів та інструментальних засобів управління зацікавленими сторонами проектів /
Ю. Ю. Гусєва, О. С. Мартиненко, І. В. Чумаченко // Управління розвитком складних систем: зб. наук. праць. – 2018. –
№ 35. – С. 27–36.
3. Martynenko O. The method of earned requirements for project monitoring / O. Martynenko, Yu. Husieva, I. Chumachenko //
Innovative technologies and scientific solutions for industries. – 2017. – № 1. – P. 57–63. DOI: 10.30837/2522-9818.2017.1.058
4. Гусєва Ю. Ю. Інструментальні засоби реалізації моніторингу вимог у проекті в MS Project / Ю. Ю. Гусєва,
О. С. Мартиненко, І. В. Чумаченко // Управління розвитком складних систем: зб. наук. праць. – 2017. – № 31. – С. 26–31.
5. Гусєва Ю. Ю. Матрична модель 4R & WS для класифікації стейкхолдерів проекту / Ю. Ю. Гусєва, О. С. Мартиненко,
І. В. Чумаченко // Вісник Національного технічного університету «ХПІ»: зб. наук. праць. – 2017. – № 2 (1224). – С. 17–22.
6. A Guide to the Project Management Body of Knowledge (PMBOK®Guide) – 6th Edition. Newtown Square, Pa.: Project
Management Institute, Inc., 2017. – 756 p.
7. Practice Standard for Earned Value Management – Second Edition. Newtown Square, Pa.: Project Management Institute,
Inc., 2011. – 135 p.
8. A New Approach for Project Control Under Uncertainty. Going Back to the Basics / F. Acebes, J. Pajares, J. M. Galán at al. //
International Journal of Project Management. 2014. – № 32 (3). – P. 423–434. DOI: 10.1016/j.ijproman.2013.08.003
9. Batson R. G. Project Risk Identification Methods for Construction Planning and Execution / R. G Batson // Proceedings of the
2009 Construction Research Congress, ASCE. – 2009. – P. 746–755. DOI: 10.1061/41020(339)76
10. Czemplik A. Application of Earned Value Method to Progress Control of Construction Projects / A. Czemplik // Procedia Engineering
91. – 2014. – P. 424–428. DOI:10.1016/j.proeng.2014.12.087
11. The official site for Earned Schedule information [Electronic resource]. Acces mode: http://www.earnedschedule.com/
12. Liu L. The Control Model of Engineering Cost in Construction Phase of High-speed Railway / L. Liu, Y. Su // Proceeding of
the 5th International Conference on Computer Sciences and Convergence Information Technology, IEEE. – 2010. – P. 766–771. DOI: 10.1109/ICCIT.2010.5711158
13. Martens A. A Buffer Control Method for Top-down Project Control / A. Martens, M. Vanhoucke // European Journal of
Operational Research. – 2017. – № 262 (1). – P. 274–286. DOI:10.1016/j.ejor.2017.03.034
14. Prediction of Project Outcome – The Application of Statistical Methods to Earned Value Management And Earned Schedule
Performance Indexes / W. Lipke, O. Zwikael, K. Henderson at al. // International Journal of Project Management 27 (4). –
2009. – P. 400–407. DOI: 10.1016/j.ijproman.2008.02.009
15. Plaza M. A Model-based DSS for Integrating the Impact of Learning in Project Control / M. Plaza, O. Turetken // Decision
Support Systems. – 2009. – № 47 (4). – P. 488–499. DOI:10.1016/j.dss.2009.04.010
16. Batselier J. Evaluation of Deterministic State-of-the-Art Forecasting Approaches for Project Duration Based on Earned Value
Management / J. Batselier, M. Vanhoucke // International Journal of Project Management. – № 33 (7). – 2015. – P. 1588–1596. DOI: 10.1016/j.ijproman.2015.04.003
17. Willems L. L. Classification of Articles and Journals on Project Control and Earned Value Management / L. L. Willems,
M. Vanhoucke // International Journal of Project Management. – 2015. – № 33 (7). – P. 1610–1634. DOI:10.1016/j.ijproman.2015.06.003
18. San Cristobal, J. R. 2017. “The S-curve Envelope as a Tool for Monitoring and Control of Projects.” Procedia Computer Science 121: 756–761.
19. Determining the Timing of Project Control Points Using a Facility Location Model and Simulation / N. Sabeghi,
H. R. Tareghian, E. Demeulemeester et al. // Computers and Operations Research. – 2015. – № 61. – P. 69–80. DOI:10.1016/j.cor.2015.03.006
20. Leu S.-S. Project Performance Evaluation Based on Statistical Process Control Techniques / S.-S. Leu, Y.-C. Lin // Journal of
Construction Engineering and Management. – 2008. – № 134 (10). – P. 813–819. DOI: 10.1061/(ASCE)0733-9364(2008)134:10(813)
21. Метрики процесів управління та контролю вимог у проектах / Ю. Ю. Гусєва, О. С. Мартиненко, І. М. Кадикова et al //
Радіоелектроніка, інформатика, управління. – 2017. – №4. – C. 179–186. DOI: 10.15588/1607-3274-2017-4-20
22. Вітлінський В. В. Економічний ризик і методи його вимірювання / В. В. Вітлінський, С. І. Наконечний, О. Д. Шарапов. – К. : ІЗМН, 1996. – 400 с.
23. Теория прогнозирования и принятия решений / Под. ред. С. А. Саркисяна. – М. : Высшая школа, 1977. – 353 с.
24. Вітлінський В. В. Аналіз, моделювання та управління економічним ризиком / В. В. Вітлінський, П. І. Верченко – К. : КНЕУ, 2000. – 292 с.






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