Abstract
| Original language | Undefined |
|---|---|
| Pages (from-to) | 85-94 |
| Number of pages | 10 |
| Journal | IEE proceedings - Software |
| Volume | 151 |
| Issue number | 2 |
| DOIs | |
| 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
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A market-driven approach based on Markov decision theory for optimal use of resources in software development. / Noppen, J.A.R.; Eisenbach, S. (Editor); Aksit, Mehmet; Nicola, V.F.; Tekinerdogan, B.
In: IEE proceedings - Software, Vol. 151, No. 2, 05.04.2004, p. 85-94.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - A market-driven approach based on Markov decision theory for optimal use of resources in software development
AU - Noppen, J.A.R.
AU - Aksit, Mehmet
AU - Nicola, V.F.
AU - Tekinerdogan, B.
A2 - Eisenbach, S.
N1 - doi: 10.1049/ip-sen:20040079
PY - 2004/4/5
Y1 - 2004/4/5
N2 - 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.
AB - 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.
KW - Resource Allocation
KW - Product Development
KW - EWI-10067
KW - IR-48722
KW - Markov decision theory
KW - METIS-220440
KW - SE-SDP: Software Development Process
U2 - 10.1049/ip-sen:20040079
DO - 10.1049/ip-sen:20040079
M3 - Article
VL - 151
SP - 85
EP - 94
JO - IET software
JF - IET software
SN - 1751-8806
IS - 2
ER -