Measuring Change in Software Projects Through an Earned Value Lens
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
Open Access Color
Green Open Access
Yes
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Publicly Funded
No
Abstract
Earned Value Management (EVM) is a common performance management tool for project management. EVM enables depicting the project progress in terms of scope, cost and schedule and provides future predictions based on trends and patterns. Even though EVM is widely used in various disciplines like manufacturing and construction, it is not common in software industry. One reason for this underutilization is the mismatch of an inherent nature of the software projects and the traditional EVM. Traditional EVM ignores change effort but it is predominant in software projects. We have developed cEVM as an extension to the traditional EVM to incorporate change and subsequent rework and evolution costs to measure earned value in software development projects more accurately. In this study, we focus on two applications of cEVM we performed to explore the usability of cEVM and to compare cEVM with traditional EVM. This paper discusses the results of the case studies as well as benefits and difficulties of cEVM.
Description
18th International Conference on Software Process Improvement and Capability Determination, SPICE 2018; Tessaloniki; Greece; 9 October 2018 through 10 October 2018
Keywords
Change management, Performance measurement, Reworking, Software design, Earned Value Management, Earned Value Management, Performance measurement, Reworking, Change management, Software design
Fields of Science
0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Efe, P., Demirörs, O., and Benetallah, B. (2018). Measuring change in software projects through an earned value lens. In I. Stamelos, R. V. O'Connor, T. Rout, and A. Dorling (Eds.), Software Process Improvement and Capability Determination. SPICE 2018. Communications in Computer and Information Science, (pp. 200-214). Cham: Springer. doi:10.1007/978-3-030-00623-5_14
WoS Q
N/A
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N/A

OpenCitations Citation Count
N/A
Source
International Conference on Software Process Improvement and Capability Determination, SPICE 2018
Volume
CCIS 918
Issue
Start Page
200
End Page
214
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1
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763
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625
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