A Search Based Approach Towards Robust Optimization in Software Product Line Scoping
R. Karimpour, and G. Ruhe. Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, page 1415--1416. New York, NY, USA, ACM, (2015)
DOI: 10.1145/2739482.2764650
Abstract
Software product line (SPL) scoping is important for planning upfront investment. One challenge with scoping comes from inaccuracies in estimated parameters and uncertainty in environment. In this paper, a method to incorporate uncertainty in SPL scoping optimization and its application to generate robust solutions is proposed. We model scoping optimization as a multi-objective problem with profit and stability as heuristics. To evaluate our proposal, a number of experiments are conducted. Analysis of results show that both performance stability and feasibility stability were improved providing the product line manager enhanced decision-making support.
%0 Conference Paper
%1 Karimpour:2015:SBA:2739482.2764650
%A Karimpour, Reza
%A Ruhe, Guenther
%B Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
%C New York, NY, USA
%D 2015
%I ACM
%K product.planning roadmapping
%P 1415--1416
%R 10.1145/2739482.2764650
%T A Search Based Approach Towards Robust Optimization in Software Product Line Scoping
%U http://doi.acm.org/10.1145/2739482.2764650
%X Software product line (SPL) scoping is important for planning upfront investment. One challenge with scoping comes from inaccuracies in estimated parameters and uncertainty in environment. In this paper, a method to incorporate uncertainty in SPL scoping optimization and its application to generate robust solutions is proposed. We model scoping optimization as a multi-objective problem with profit and stability as heuristics. To evaluate our proposal, a number of experiments are conducted. Analysis of results show that both performance stability and feasibility stability were improved providing the product line manager enhanced decision-making support.
%@ 978-1-4503-3488-4
@inproceedings{Karimpour:2015:SBA:2739482.2764650,
abstract = {Software product line (SPL) scoping is important for planning upfront investment. One challenge with scoping comes from inaccuracies in estimated parameters and uncertainty in environment. In this paper, a method to incorporate uncertainty in SPL scoping optimization and its application to generate robust solutions is proposed. We model scoping optimization as a multi-objective problem with profit and stability as heuristics. To evaluate our proposal, a number of experiments are conducted. Analysis of results show that both performance stability and feasibility stability were improved providing the product line manager enhanced decision-making support.},
acmid = {2764650},
added-at = {2016-08-25T16:02:26.000+0200},
address = {New York, NY, USA},
author = {Karimpour, Reza and Ruhe, Guenther},
biburl = {https://www.bibsonomy.org/bibtex/2eae842ecde7299fc01434b13fe8b06d6/ispma},
booktitle = {Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation},
doi = {10.1145/2739482.2764650},
interhash = {722031f6cbc0ca9fb32a962434118ae0},
intrahash = {eae842ecde7299fc01434b13fe8b06d6},
isbn = {978-1-4503-3488-4},
keywords = {product.planning roadmapping},
location = {Madrid, Spain},
numpages = {2},
pages = {1415--1416},
publisher = {ACM},
series = {GECCO Companion '15},
timestamp = {2016-08-25T16:02:26.000+0200},
title = {A Search Based Approach Towards Robust Optimization in Software Product Line Scoping},
url = {http://doi.acm.org/10.1145/2739482.2764650},
year = 2015
}