- We will send in 10–14 business days.
/images/books/12163435/9781774910467.jpg)
- Publisher: Apple Academic Press
- ISBN-10: 1774910462
- ISBN-13: 9781774910467
- Format: 15.2 x 22.9 x 1.9 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Computational Intelligence Applications for Software Engineering Problems (e-book) (used book) | bookbook.eu
Reviews
Description
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 DevOps model, time series forecasting models, and more.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 18d.17:57:10
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Apple Academic Press
- ISBN-10: 1774910462
- ISBN-13: 9781774910467
- Format: 15.2 x 22.9 x 1.9 cm, hardcover
- Language: English English
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 DevOps model, time series forecasting models, and more.
Reviews