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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 of a comprehensive analysis and advanced design of software artifacts.
The Role of Computational Intelligence in Quantitative Software Engineering.- Computational Intelligence: An Introduction.- Towards Benchmarking Feature Subset Selection Methods for Software Fault Prediction.- Evolutionary Computation for Software Product Line Testing: An Overview and Open Challenges.- Metaheuristic Optimisation and Mutation-Driven Test Data Generation.- Measuring the Utility of Functional-Based Software Using Centroid-Adjusted Class Labelling.- Toward Accurate Software Effort Prediction Using Multiple Classifier Systems.- Complex Specifications Requirements Software Quantitative.- Possibilistic Assessment of Process-Related Disclosure Risks on the Cloud.
“An overview of the current state of the art in the use of computational intelligence in software engineering is presented in this book. … Each application chapter concludes with a comprehensive bibliography. … The book can be recommended to practitioners interested in improving their quantitative evaluations in the field of software engineering.” (J. P. E. Hodgson, Computing Reviews, March, 2016)