Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1830483.1830738 | GECCO |
Keywords | Field | DocType |
combinatorial optimization problem,proposed project portfolio management,project portfolio,large software company,portfolio manager,efficient optimization,multiobjective evolutionary approach,software project portfolio optimization,potential portfolio return,software project portfolio,multiobjective evolutionary algorithm,strategic alignment,portfolio optimization,project portfolio management,evolutionary algorithm,multiobjective optimization,evolutionary algorithms,portfolio management | Mathematical optimization,Strategic alignment,Evolutionary algorithm,Project portfolio management,Computer science,Portfolio,Multi-objective optimization,Software,Rate of return on a portfolio,COCOMO | Conference |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Kremmel | 1 | 15 | 1.20 |
| Jiří Kubalik | 2 | 14 | 2.57 |
| Stefan Biffl | 3 | 1305 | 134.26 |