Metadata language
Genetic granular classifiers in modeling software quality
Subtitle:Raport Badawczy = Research Report ; RB/5/2003
Creator:Pedrycz, Witold (1953– ) ; Succi, Giancarlo
Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:15 pages ; 21 cm ; Bibliography p. 14-15
Subject and Keywords:Genetic algorithms ; Algorytm genetyczny ; Grupowanie rozmyte ; Software quality ; Hyperbox geometry of classifiers ; Sotfware measures ; Fuzzy c-means ; Jakość oprogramowania
Abstract:The paper deals with Hyberbox classifiers. The proposed design process of hyperboxes comprises of two main phases. In the first phase, a collection of “seeds” of he hyperboxes is formed through data clustering (realized by means of the Fuzzy C-Means algorithm, FCM). In the second phase, the hyperboxes are ‘grown” by applying mechanisms of genetic optimization (and genetic algorithm, in particular). Revealed how the underlying geometry of the hyperboxes supports an immediate interpretation of software data concerning software maintenance and dealing with rules describing a number of changes made to software modules and their linkages with various software measures (such as size of code, McCabe cyclomatic complexity, number of comments, number of characters, etc.)
Relation:Raport Badawczy = Research Report
Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Creative Commons Attribution BY 4.0 license
Terms of use:Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Digitizing institution:Systems Research Institute of the Polish Academy of Sciences
Original in:Library of Systems Research Institute PAS
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