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Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002023

Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach

Goran Glavaš ; Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia
Krešimir Fertalj ; Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia

Puni tekst: engleski, pdf (765 KB) str. 275-283 preuzimanja: 677* citiraj
APA 6th Edition
Glavaš, G. i Fertalj, K. (2011). Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach. Journal of computing and information technology, 19 (4), 275-283. https://doi.org/10.2498/cit.1002023
MLA 8th Edition
Glavaš, Goran i Krešimir Fertalj. "Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach." Journal of computing and information technology, vol. 19, br. 4, 2011, str. 275-283. https://doi.org/10.2498/cit.1002023. Citirano 08.03.2021.
Chicago 17th Edition
Glavaš, Goran i Krešimir Fertalj. "Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach." Journal of computing and information technology 19, br. 4 (2011): 275-283. https://doi.org/10.2498/cit.1002023
Harvard
Glavaš, G., i Fertalj, K. (2011). 'Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach', Journal of computing and information technology, 19(4), str. 275-283. https://doi.org/10.2498/cit.1002023
Vancouver
Glavaš G, Fertalj K. Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach. Journal of computing and information technology [Internet]. 2011 [pristupljeno 08.03.2021.];19(4):275-283. https://doi.org/10.2498/cit.1002023
IEEE
G. Glavaš i K. Fertalj, "Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach", Journal of computing and information technology, vol.19, br. 4, str. 275-283, 2011. [Online]. https://doi.org/10.2498/cit.1002023

Sažetak
Assigning responsibilities to classes is among first and arguably most important steps when creating objectoriented software design. This step depends greatly on human judgment and experience. In this paper our objective is to automatize assigning responsibilities to classes usingmetaheuristic optimization algorithms. Four different algorithms (simple genetic algorithm, hill climbing, simulated annealing and particle swarm optimization), using class coupling and cohesion metrics, were implemented and their results are compared. Implemented algorithms take semantically annotated responsibility dependency graph as input. This paper describes responsibility dependency graph, implemented algorithms and used coupling and cohesion metrics in detail. Paper also reports on a performed case study. Ultimately, based on results obtained from all implemented algorithms, conclusions on search landscape of class responsibility assignment problem are drawn.

Ključne riječi
class responsibility assignment; genetic algorithm; hill climbing; simulated annealing; particle swarm optimization

Hrčak ID: 77334

URI
https://hrcak.srce.hr/77334

Posjeta: 954 *