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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/9845

Title: A knowledge-based cohesion metric for object-oriented software
???metadata.dc.creator???: Stein, Cara
Etzkorn, Letha
Gholston, Sampson
Farrington, Phillip
Fortune, Julie
Keywords: Object-oriented software
Software metric
Semantic metric
Knowledge-based systems
Software orientado a objetos
Métrica de software
Métrica semântica
Sistemas baseados em conhecimento
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Dec-2006
Citation: Stein, C. et al. A knowledge-based cohesion metric for object-oriented software. INFOCOMP: Journal of Computer Science, Lavras, v. 5, n. 4, p. 44-53, Dec. 2006.
Abstract: This paper presents Percentage of Shared Ideas (PSI), a metric for measuring the semantic cohesion of a class in object-oriented software. PSI uses information in a knowledge base to quantify the cohesiveness of a class’s task in the problem domain, allowing a clearer view of cohesion than code syntax provides. Furthermore, this metric is independent of code structure and could be calculated before implementation, providing clues to design flaws earlier in the software development cycle, when changes are less expensive. In this paper, we define the PSI metric, provide theoretical and empirical validation, and compare PSI to well-known cohesion metrics.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/153
???metadata.dc.language???: eng
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