Abstract

An outsourcing IT project management model has been developed. The proposed model features taking into account the specifics of project management processes at outsourcing IT companies in terms of the uncertainty of the external and internal environment of their operation. The model is based on the stage-gate project management framework with fuzzy logic tools. The proposed modification of the fuzzy inference mechanism makes it possible to refuse to save the intermediate results which reduce the load on the database and create the possibility of using semantic networks. The technology of expert consultations was demonstrated by the example of decision-making regarding the assessment of the current status of the IT projects accepted by the outsourcing company for development. Dynamic nature and cyclical management of the portfolio of IT projects involves constant monitoring of the results of implementation with an appropriate regular portfolio reforming. The model was developed to improve the efficiency of the software development sub-process and minimize the negative consequences of financial dependence on the customer. The application software developed on the basis of the model of management of outsourcing IT projects and modification of the fuzzy inference mechanism has found practical application and was implemented in the computational practice of HYS Enterprise B.V. outsourcing IT company. Testing of the program shell has shown positive results in the course of solving the tasks peculiar to concrete stages of IT project management. The proposed structure and composition of the fuzzy knowledgebase of the expert shell are quite typical in terms of IT outsourcing problems. It is expedient to use the developed model at outsourcing IT companies in the process of project portfolio management

Highlights

  • There are a large number of outsourcing IT companies carrying out simultaneous development of a number of projects within the project portfolio

  • Taking into account the abovementioned, involvement of the fuzzy set theory for its application in expert systems is an important area of further studies in the field of outsourcing IT project management

  • Diagnostication and decision-making concerning the further implementation of the project and/or project portfolio in terms of incomplete and/ or unclear information are accomplished at the boundaries of these stages

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Summary

Introduction

There are a large number of outsourcing IT companies carrying out simultaneous development of a number of projects within the project portfolio. A group of projects that do not have joint control will most likely not be able to achieve desired results To avoid this problem, present-day technologies and methods are used to simplify and improve the management process. The project portfolio management process balances key portfolio constraints and provides a tool for decision-making throughout the portfolio performance cycle based on performance indicators. This allows the project portfolio managers to control and manage the full scope of work and the range of actions required to launch various numbers of projects adhering to the budget, schedule, and specifications of each project. Taking into account the abovementioned, involvement of the fuzzy set theory for its application in expert systems is an important area of further studies in the field of outsourcing IT project management

Literature review and problem statement
Stage N
Solution model
Developmen t Agile sprint
Fuzzy logic system
Preliminary technical analysis
System of
Agile sprint
Linguistic variables
The decision made in solving this problem is AND
Average None
Findings
Conclusions
Full Text
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