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Computational Intelligence Techniques and Their Applications to
Software Engineering Problems focuses on computational intelligence
approaches as applicable in varied areas of software engineering
such as software requirement prioritization, cost estimation,
reliability assessment, defect prediction, maintainability and
quality prediction, size estimation, vulnerability prediction, test
case selection and prioritization, and much more. The concepts of
expert systems, case-based reasoning, fuzzy logic, genetic
algorithms, swarm computing, and rough sets are introduced with
their applications in software engineering. The field of knowledge
discovery is explored using neural networks and data mining
techniques by determining the underlying and hidden patterns in
software data sets. Aimed at graduate students and researchers in
computer science engineering, software engineering, information
technology, this book: Covers various aspects of in-depth solutions
of software engineering problems using computational intelligence
techniques Discusses the latest evolutionary approaches to
preliminary theory of different solve optimization problems under
software engineering domain Covers heuristic as well as
meta-heuristic algorithms designed to provide better and optimized
solutions Illustrates applications including software requirement
prioritization, software cost estimation, reliability assessment,
software defect prediction, and more Highlights swarm
intelligence-based optimization solutions for software testing and
reliability problems
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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