This new volume explores the computational intelligence techniques necessary to carry out different software engineering 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 engineering.
Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the Dev Ops model, time series forecasting models, and more.
Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the Dev Ops model, time series forecasting models, and more.
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格式 EPUB ● 网页 324 ● ISBN 9781000575927 ● 编辑 Arun Prakash Agrawal & Vishal (Sharda University, India) Jain ● 出版者 Apple Academic Press ● 发布时间 2023 ● 下载 3 时 ● 货币 EUR ● ID 8834094 ● 复制保护 Adobe DRM
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