Software Engineering Methods In Intelligent Algorithms


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Software Engineering Methods in Intelligent Algorithms


Software Engineering Methods in Intelligent Algorithms

Author: Radek Silhavy

language: en

Publisher: Springer

Release Date: 2019-05-07


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This book presents software engineering methods in the context of the intelligent systems. It discusses real-world problems and exploratory research describing novel approaches and applications of software engineering, software design and algorithms. The book constitutes the refereed proceedings of the Software Engineering Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held on-line in April 2019.

Intelligent Algorithms in Software Engineering


Intelligent Algorithms in Software Engineering

Author: Radek Silhavy

language: en

Publisher: Springer

Release Date: 2020-08-09


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This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.

Artificial Intelligence Methods For Software Engineering


Artificial Intelligence Methods For Software Engineering

Author: Meir Kalech

language: en

Publisher: World Scientific

Release Date: 2021-06-15


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Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)