Computational Intelligence in Software Modeling
Description
Researchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.
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Persons
V. Jain , BVICAM, India; A. Bansal, NSUT, India; A. Jain , Delhi U., India; J.M. Chatterjee , LBEF, Nepal; U.Kose , Süleyman U., Turkey.
Content
- Intro
- Preface
- Acknowledgment
- Contents
- Editors' profile
- Revolutionary transformations in twentieth century: making AI-assisted software development
- Useful techniques and applications of computational intelligence
- Machine learning-based attribute value search technique software component retrieval
- Use of fuzzy logic approach for software quality evaluation in Agile software development environment
- Metaheuristics for empirical software measurements
- Use of genetic algorithms in software testing models
- Insights into DevOps automation tools employed at different stages of software development
- Study of computational techniques to deal with ambiguity in SRS documents
- Utilization of images in an open source software to detect COVID-19
- Designing of a tool for comparing and analyzing different test suites of open source software
- Decision tree-based improved software fault prediction: a computational intelligence approach
- Performance analysis for SDN POX and open daylight controller using network emulator Mininet under DDoS attack
- Index
