Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

T. Kremmel, J. Kubalik, S. Biffl:
"Multiobjective Evolutionary Algorithm for Software Project Portofolio Optimization";
Vortrag: Proc. Genetic and Evolutionary Computation Conference (Gecco 2010) - Poster Session, Portland, Oregon; 07.07.2010 - 11.07.2010; in: "Proc. Genetic and Evolutionary Computation Conference (Gecco 2010) - Poster Session", (2010), S. 1 - 2.

Kurzfassung englisch:
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. However, software project portfolios are
challenging to describe for optimization in a practical way
that allows efficient optimization. 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. The proposed approach was evaluated on
a set of 50 projects that follow the validated COCOMO II
model criteria. Major results are: the proposed project portfolio management approach was found usable and useful; the
mPOEMS algorithm shows capabilities for efficiently solving
the combinatorial optimization problem of this type

Elektronische Version der Publikation:

Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.