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Full Description
Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book:
Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques
Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain
Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions
Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more
Highlights swarm intelligence-based optimization solutions for software testing and reliability problems
Contents
1. Implementation of Artificial Intelligence Techniques for Improving Software Engineering. 2. Software effort estimation: Machine learning vs. Hybrid algorithms. 3. Implementation of Data Mining Techniques for Software Development Effort Estimation. 4. Empirical Software Measurements with Machine Learning. 5. Project Estimation And Scheduling Using Computational Intelligence. 6. Application of Intuitionistic Fuzzy Similarity Measures in Strategic Decision-Making. 7. Nature-Inspired Approaches to Test Suite Minimization for Regression Testing. 8. Identification and Construction of Reusable Components from Object-Oriented Legacy Systems using various Software Artifacts. 9. A Software Component Evaluation and Selection Approach Using Fuzzy Logic. 10. Smart Predictive Analysis for Testing Messaging-passing Applications. 11. Status of Agile Practices in the Software Industry in 2019. 12. Agile Methodologies: A Performance Analysis To Enhance Software Quality. 13. Pre-Trained Deep Neural Networks for Age Prediction from IRIS Biometrics. 14. Hybrid Intelligent Decision Support Systems to Select The Optimum Fuel Blend in CI Engine. 15. Understanding the Significant Challenges of Software Engineering in Cloud Environment.
