Are MAs profitable to search-based PLA design?

The architectural properties of product-line architecture (PLA) design have been successfully optimised by multi-objective genetic algorithms (GAs). Memetic algorithms (MAs) extend GA by adding a local search after the global search process. MA outperformed GA in the context of class modelling, soft...

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Bibliographic Details
Published in:IET software 2019-12, Vol.13 (6), p.587-599
Main Authors: Choma Neto, João, Herculano da Silva, Cristiano, Elita Colanzi, Thelma, Malachini Miotto Amaral, Aline Maria
Format: Article
Language:English
Subjects:
architectural properties
design patterns
genetic algorithms
global search process
local search
MA-based implementation
MAs profitable
memetic algorithms
multi-agent systems
multiobjective genetic algorithms
original PLA design
PLA design optimisation
PLA designs
product-line architecture design
program testing
Research Article
search problems
search-based PLA design
software architecture
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Summary:The architectural properties of product-line architecture (PLA) design have been successfully optimised by multi-objective genetic algorithms (GAs). Memetic algorithms (MAs) extend GA by adding a local search after the global search process. MA outperformed GA in the context of class modelling, software testing and the next release problem. However, no studies on the application of MAs for PLA design optimisation were found in the literature. In light of this, the authors performed an exploratory study, where MA was used to apply design patterns for a search-based PLA design (SBPD) and achieved promising results. From the obtained results, they adjusted the MA-based implementation. This study aims at investigating if the MA is more profitable to SBPD than GAs. Two empirical studies that involve four PLA designs were carried out for this task by varying the pair of objective functions. Empirical results show that MA achieved satisfactory solutions, despite being influenced by the original PLA design.
ISSN:1751-8806
1751-8814
1751-8814
DOI:10.1049/iet-sen.2018.5318