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Software Next Release Planning Approach through Exact Optimization

by FabrÌcio G. Freitas, Daniel P. Coutinho, Jerffeson T. Souza
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 8
Year of Publication: 2011
Authors: FabrÌcio G. Freitas, Daniel P. Coutinho, Jerffeson T. Souza
10.5120/2607-3636

FabrÌcio G. Freitas, Daniel P. Coutinho, Jerffeson T. Souza . Software Next Release Planning Approach through Exact Optimization. International Journal of Computer Applications. 22, 8 ( May 2011), 1-8. DOI=10.5120/2607-3636

@article{ 10.5120/2607-3636,
author = { FabrÌcio G. Freitas, Daniel P. Coutinho, Jerffeson T. Souza },
title = { Software Next Release Planning Approach through Exact Optimization },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 8 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number8/2607-3636/ },
doi = { 10.5120/2607-3636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:50.170232+05:30
%A FabrÌcio G. Freitas
%A Daniel P. Coutinho
%A Jerffeson T. Souza
%T Software Next Release Planning Approach through Exact Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 8
%P 1-8
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Software Requirements phase has notable importance, since it is responsible for the definition of the system itself. Several customers indicate which functionalities they want to be present in the software. However, constraints, such as budget, make it impossible to implement all desired requirements at once. One activity in this context is the release planning. The selection of which requirements should be implemented to the next release is necessary. In literature, metaheuristics have been employed to solve this problem. The objective of this work is to propose the use of exact optimization techniques in the problem, with the advantage that the resolution through these techniques ensures the best solutions. The results in several experiments show the validity of such application, in comparison with the metaheuristics approach.

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Index Terms

Computer Science
Information Sciences

Keywords

Search Based Software Engineering Next Release Planning Software Requirements

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