Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00169342" target="_blank" >RIV/68407700:21230/11:00169342 - isvavai.cz</a>
Result on the web
<a href="http://authors.elsevier.com/offprints/ASOC859/5051f9feacf19b170053566a04dd0850" target="_blank" >http://authors.elsevier.com/offprints/ASOC859/5051f9feacf19b170053566a04dd0850</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.asoc.2010.04.013" target="_blank" >10.1016/j.asoc.2010.04.013</a>

Result language
angličtina
Original language name
Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms
Original language description
Large software companies have to plan their project portfolio to maximize potential portfolio return and strategic alignment, while balancing various preferences, and considering limited resources. In this paper we propose an approach to describe software project portfolios with a set of multiobjective criteria for portfolio managers using the COCOMO II model and introduce a multiobjective evolutionary approach, mPOEMS, to find the Pareto-optimal front efficiently.We evaluate the new approach with portfolios choosing from a set of 50 projects that follow the validated COCOMO II model criteria and compare the performance of the mPOEMS approach with state-of-the-art multiobjective optimization evolutionary approaches. Major result is the mPOEMS approachoutperformed the other approaches.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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