Computational Intelligence Applications for Software Engineering Problems

ISBN-13: 9781774910467 / Angielski / Twarda / 2023 / 304 str.

Opis

Explores computational intelligence techniques to perform software engineering tasks. It discusses techniques and case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, AI, time series forecasting models, etc.

Spis treści

1. A Statistical Experimentation Approach for Software Quality Management and Defect Evaluations  2. Open Challenges in Software Measurements Using Machine Learning Techniques  3. Empirical Software Engineering and Its Challenges  4. Uncertain Multiobjective COTS Product Selection Problems for Modular Software System and Their Solutions by Genetic Algorithm  5. Fuzzy Logic Based Computational Technique for Analyzing Software Bug Repository  6. Software Measurements from Machine Learning to Deep Learning 7. Time Series Forecasting Using ARIMA Models: Systematic Literature Review of 2000s  8. Industry Maintenance Optimization Using AI  9. Comparative Study of Invasive Weed Optimization Algorithms  10. An Overview of Computational Tools  11. Enhanced Intelligence Architecture  12. Systematic Literature Review of Search-Based Software Engineering Techniques for Code Modularization/Remodularization  13. Automation of Framework Using DevOps Model to Deliver DDE Software