Controlling software cost using fuzzy Quality based EVM


Khalid, Tarig Ahmed and Yeoh, Eng Thiam (2016) Controlling software cost using fuzzy Quality based EVM. In: 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE). IEEE, pp. 275-280. ISBN 978-1-4673-7869-7

[img] Text
Restricted to Repository staff only

Download (539kB)


Earned Value Management (EVM) is the most recognized tool for monitoring and controlling project performance. Its ultimate goal is to provide reliable early warning signals about the cost and schedule performance of a project. However, EVM has its limitations in monitoring and controlling software project activities. The lack of quality performance indicator and the inadequacy in incorporating the impact of the software fuzzy nature, volatile requirements, and unplanned reworks in its forecasting model are among these limitations. This paper proposed a fuzzy quality-based EVM model integrating cost, schedule, and quality for a given software project. The primary contribution of the paper is the introduction of the Quality Performance Index (QPI), which is expected to enhance the accuracy of cost performance monitoring and controlling.

Item Type: Book Section
Uncontrolled Keywords: fuzzy earned value, software cost control, quality earned value management, quality performance index
Subjects: Q Science > QA Mathematics > QA1-43 General
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 29 Jan 2018 16:04
Last Modified: 29 Jan 2018 16:04


Downloads per month over past year

View ItemEdit (login required)