DocumentCode :
188716
Title :
A Framework to Support the Selection of Software Technologies by Search-Based Strategy
Author :
Da Silva Grande, Aurelio ; De Freitas Rodrigues, Rosiane ; Dias-Neto, Arilo Claudio
Author_Institution :
Inst. of Comput. Manaus, Fed. Univ. of Amazonas, Manaus, Brazil
fYear :
2014
fDate :
10-12 Nov. 2014
Firstpage :
979
Lastpage :
983
Abstract :
This paper presents a framework to instantiate software technologies selection approaches by using search techniques. The software technologies selection problem (STSP) is modeled as a Combinatorial Optimization problem aiming attending different real scenarios in Software Engineering. The proposed framework works as a top-level layer over generic optimization frameworks that implement a high number of metaheuristics proposed in the technical literature, such as JMetal and OPT4J. It aims supporting software engineers that are not able to use optimization frameworks during a software project due to short deadlines and limited resources or skills. The framework was evaluated in a case study of a complex real-world software engineering scenario. This scenario was modeled as the STSP and some experiments were executed with different metaheuristics using the proposed framework. The results indicate its feasibility as support to the selection of software technologies.
Keywords :
optimisation; query formulation; software engineering; software selection; JMetal; OPT4J; STSP; combinatorial optimization problem; generic optimization; metaheuristics; real-world software engineering; search-based strategy; software project; software technology selection problem; Educational institutions; Embedded systems; Optimization; Search problems; Software algorithms; Software engineering; Recommendation System; Search Based Software Engineering; Software Technology Selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
Conference_Location :
Limassol
ISSN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2014.148
Filename :
6984584
Link To Document :
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