English | 2023 | ISBN: 9781003283195 | 325 pages | True PDF | 23.54 MB

This new volume explores the computational intelligence techniques necessary to carry out different software eeering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software eeering.

Computational Intelligence Applications for Software Eeering Problems discusses techniques and presents case studies to solve eeering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, series forecasting models, and more.