Computational Intelligence in Software Modeling

✍ Scribed by Vishal Jain (editor); Jyotir Moy Chatterjee (editor); Ankita Bansal (editor); Utku Kose (editor); Abha Jain (editor)

• Publisher: De Gruyter
• Year: 2022
• Tongue: English
• Leaves: 216
• Series: De Gruyter Frontiers in Computational Intelligence; 13
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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