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Title: Defining models for project management processes
Author: Singh, Ravinder
ISNI:       0000 0004 7224 192X
Awarding Body: King's College London
Current Institution: King's College London (University of London)
Date of Award: 2018
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This research would be able to study if formalising project management is feasible. With this research an attempt is made to define and describe the models for complete PMBOK standard taking into consideration all the process and knowledge management areas. This research will focus on the use of UML and OCL for creating model driven project management using PMBOK as base. Some previous research has been done to build simple models that for one process or knowledge management area and even that does not make use of model driven UML and OCL concepts. These research works focussed on creating more of structured flow rather than object models. This research focuses on PMBOK since more than 68% of the projects around the world use PMBOK for managing projects. The research problem to be addressed are: Feasibility of defining/formalisation of PMBOK processes, defining meta models for core PMBOK processes, Define mapping of meta models to PMBOK, high level models for Program Management, Onshore/offshore management, Change Management, due diligence, IT Service management. Analyse the application of proposed formal methods/models in one or two case studies and do the Fit/Gap analysis to document the shortcomings/gaps with respect to the compliance to PMBOK 5th Edition. The benefits of having meta-models will include support for defining tools for project management, deliverables and documentation, and to improve consistency between different areas and processes of PMBOK. It will potentially benefit other projects as the tools, documents and deliverables can be reused. This will make project monitoring and controlling easier during the execution and whole life cycle of the project. The final advantage will come in the form of delivering good quality project on time, budget and scope with improved quality and reliability.
Supervisor: Lano, Kevin Charles ; Zschaler, Steffen Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available