A market-driven approach based on Markov decision theory for optimal use of resources in software development

J.A.R. Noppen; S. Eisenbach; Mehmet Aksit; V.F. Nicola; B. Tekinerdogan

doi:10.1049/ip-sen:20040079

A market-driven approach based on Markov decision theory for optimal use of resources in software development

J.A.R. Noppen, S. Eisenbach (Editor), Mehmet Aksit, V.F. Nicola, B. Tekinerdogan

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

16 Downloads (Pure)

Abstract

Changes in requirements may have a severe impact on development processes. For example, if requirements change during the course of a software development activity, it may be necessary to reschedule development activities so that the new requirements can be addressed in a timely manner. Unfortunately, current software development methods do not provide explicit means to adapt development processes with respect to changes in requirements. This article proposes a method based on Markov Decision Theory, which determines the estimated optimal development schedule with respect to probabilistic product demands and resource constraints. This method is supported by a tool and applied to an industrial case.

Original language	Undefined
Pages (from-to)	85-94
Number of pages	10
Journal	IEE proceedings - Software
Volume	151
Issue number	2
DOIs	https://doi.org/10.1049/ip-sen:20040079
Publication status	Published - 5 Apr 2004

Keywords

Resource Allocation
Product Development
EWI-10067
IR-48722
Markov decision theory
METIS-220440
SE-SDP: Software Development Process

Cite this

Noppen, J. A. R., Eisenbach, S. (Ed.), Aksit, M., Nicola, V. F., & Tekinerdogan, B. (2004). A market-driven approach based on Markov decision theory for optimal use of resources in software development. IEE proceedings - Software, 151(2), 85-94. https://doi.org/10.1049/ip-sen:20040079

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10.1049/ip-sen:20040079

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