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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.
The book presents a collection of peer-reviewed articles from the
International Conference on Advances and Applications of Artificial
Intelligence and Machine Learning - ICAAAIML 2020. The book covers
research in artificial intelligence, machine learning, and deep
learning applications in healthcare, agriculture, business, and
security. This volume contains research papers from academicians,
researchers as well as students. There are also papers on core
concepts of computer networks, intelligent system design and
deployment, real-time systems, wireless sensor networks, sensors
and sensor nodes, software engineering, and image processing. This
book will be a valuable resource for students, academics, and
practitioners in the industry working on AI applications.
The book presents a collection of peer-reviewed articles from the
International Conference on Advances and Applications of Artificial
Intelligence and Machine Learning - ICAAAIML 2020. The book covers
research in artificial intelligence, machine learning, and deep
learning applications in healthcare, agriculture, business, and
security. This volume contains research papers from academicians,
researchers as well as students. There are also papers on core
concepts of computer networks, intelligent system design and
deployment, real-time systems, wireless sensor networks, sensors
and sensor nodes, software engineering, and image processing. This
book will be a valuable resource for students, academics, and
practitioners in the industry working on AI applications.
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