Titlebook: Computational Intelligence and Quantitative Software Engineering; Witold Pedrycz,Giancarlo Succi,Alberto Sillitti Book 2016 Springer Inter

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Toward Accurate Software Effort Prediction Using Multiple Classifier Systems,seful in software effort estimation which is an important part of software process management. To investigate the use of ensemble multiple classifiers learning in terms of predicting software effort. The use of ensemble multiple classier combination is demonstrated and evaluated against individual c

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1860-949X of Computational Intelligence as well as researchers working.In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue

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,Maßregeln der Besserung und Sicherung,ple” production of a Cappuccino, cannot be represented as such, and software is definitely more difficult than making a Cappuccino; in particular, in software three major problems occur: irreversibility, uncertainty, and complexity.

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Book 2016e efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts. It shows how the paradigm and the best practices of Computational Intelligence can be creatively explored to carry out comprehensive softwa

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