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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F11%3A00169342%21RIV12-MSM-21230___
rdf:type
n8:Vysledek skos:Concept
rdfs:seeAlso
http://authors.elsevier.com/offprints/ASOC859/5051f9feacf19b170053566a04dd0850
dcterms: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 approach outperformed the other approaches. 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 approach outperformed the other approaches.
dcterms:title
Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms
skos:prefLabel
Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms
skos:notation
RIV/68407700:21230/11:00169342!RIV12-MSM-21230___
n8:predkladatel
n9:orjk%3A21230
n4:aktivita
n17:Z
n4:aktivity
Z(MSM6840770012)
n4:cisloPeriodika
1
n4:dodaniDat
n15:2012
n4:domaciTvurceVysledku
n19:1775022
n4:druhVysledku
n21:J
n4:duvernostUdaju
n20:S
n4:entitaPredkladatele
n14:predkladatel
n4:idSjednocenehoVysledku
230404
n4:idVysledku
RIV/68407700:21230/11:00169342
n4:jazykVysledku
n13:eng
n4:klicovaSlova
Evolutionary Computing; Real-World Complexities; Decision Support; Multiobjective Optimization; Software Project Portfolio Management
n4:klicoveSlovo
n5:Evolutionary%20Computing n5:Decision%20Support n5:Real-World%20Complexities n5:Multiobjective%20Optimization n5:Software%20Project%20Portfolio%20Management
n4:kodStatuVydavatele
NL - Nizozemsko
n4:kontrolniKodProRIV
[630D910BF28F]
n4:nazevZdroje
Applied Soft Computing
n4:obor
n16:JC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n15:2011
n4:svazekPeriodika
11
n4:tvurceVysledku
Kubalík, Jiří Biffl, S. Kremmel, T.
n4:wos
000281591300139
n4:zamer
n10:MSM6840770012
s:issn
1568-4946
s:numberOfPages
11
n18:doi
10.1016/j.asoc.2010.04.013
n6:organizacniJednotka
21230