Measuring the Influence of Project Characteristics on Optimal Software Project Granularity

20th European Conference on Information Systems (ECIS), 2012

Posted: 6 Jun 2013

See all articles by Moritz Christian Weber

Moritz Christian Weber

Goethe University Frankfurt Faculty of Economics and Business Administration

Carola Wondrak

Independent

Date Written: June 2012

Abstract

With a well-structured design of reusable software, it is possible to save costs in future software development cycles and generate added value. Nowadays it is difficult to quantify which grade of project structuring enhances its reusability. This is the question this paper aims to examine, based on the Financial Portfolio Selection Theory and Value at Risk methods that can be adapted to the field of software project structuring. Using these methods, the value of the reusable source code can be evaluated, and the risks of reimplementation can be compared with alternative code structures, so we can quantify and measure the effects of the software project structure on the risks of reimplementation. This model is applied to 27 Github open source software projects, and enables us to investigate the influences of the project characteristics on the best possible software project granularity.

Keywords: Value at Risk, project management, IT project portfolio, software granularity

JEL Classification: O22

Suggested Citation

Weber, Moritz Christian and Wondrak, Carola, Measuring the Influence of Project Characteristics on Optimal Software Project Granularity (June 2012). 20th European Conference on Information Systems (ECIS), 2012, Available at SSRN: https://ssrn.com/abstract=2274683

Moritz Christian Weber (Contact Author)

Goethe University Frankfurt Faculty of Economics and Business Administration ( email )

Grueneburgplatz 1
Frankfurt am Main, 60323
Germany

Carola Wondrak

Independent ( email )

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