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Göteborgs universitets publikationer

Combinations of antipattern heuristics in software architecture optimization for embedded systems

Författare och institution:
R. Etemaadi (-); Michel Chaudron (Institutionen för data- och informationsteknik (GU))
Publicerad i:
CEUR Workshop Proceedings, 6th International Workshop on Model Based Architecting and Construction of Embedded Systems, ACESMB 2013, 1084
Konferensbidrag, övrigt
Sammanfattning (abstract):
A large number of quality properties need to be addressed in nowadays complex embedded systems by architects. Evolutionary algorithms can help architects to find optimal solutions which meet these conicting quality attributes. Also, architectural patterns and antipatterns give the architect knowledge of solving design bottlenecks. Hence, antipatterns heuristics have been used as domain-specific search operators within the evolutionary optimization. However, these heuristics usually improve only one quality attribute and using them in multiobjective problem is challenging. This paper studies the extent to which heuristic-based search operators can improve multiobjective optimization of software architecture for embedded systems. It compares various combinations of heuristic-based operators in a real world automotive system case study.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Data- och informationsvetenskap
Architectural antipatterns, Domain-specific search operators, Embedded system architecture design optimization, Evolutionary multiobjective optimization (EMO)
Postens nummer:
Posten skapad:
2015-03-24 15:40
Posten ändrad:
2016-09-13 14:05

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