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Automated Software Engineering: A Deep Learning-Based Approach

2020-01-07 Technology & Engineering
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Release : 2020-01-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 068/5 ( reviews)

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Book Synopsis Automated Software Engineering: A Deep Learning-Based Approach by : Suresh Chandra Satapathy

Download or read book Automated Software Engineering: A Deep Learning-Based Approach written by Suresh Chandra Satapathy. This book was released on 2020-01-07. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering.

Artificial Intelligence Methods For Software Engineering

2021-06-15 Computers
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Release : 2021-06-15
Genre : Computers
Kind : eBook
Book Rating : 932/5 ( reviews)

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Book Synopsis Artificial Intelligence Methods For Software Engineering by : Meir Kalech

Download or read book Artificial Intelligence Methods For Software Engineering written by Meir Kalech. This book was released on 2021-06-15. Available in PDF, EPUB and Kindle. Book excerpt: 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)

Machine Learning for Dynamic Software Analysis: Potentials and Limits

2018-07-20 Computers
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Release : 2018-07-20
Genre : Computers
Kind : eBook
Book Rating : 62X/5 ( reviews)

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Book Synopsis Machine Learning for Dynamic Software Analysis: Potentials and Limits by : Amel Bennaceur

Download or read book Machine Learning for Dynamic Software Analysis: Potentials and Limits written by Amel Bennaceur. This book was released on 2018-07-20. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities. Increased productivity in software engineering relies on the creation of new adaptive, scalable tools that can analyse large and continuously changing software systems. These require new software analysis techniques based on machine learning, such as learning-based software testing, invariant generation or code synthesis. Machine learning is a powerful paradigm that provides novel approaches to automating the generation of models and other essential software artifacts. This volume originates from a Dagstuhl Seminar entitled "Machine Learning for Dynamic Software Analysis: Potentials and Limits” held in April 2016. The seminar focused on fostering a spirit of collaboration in order to share insights and to expand and strengthen the cross-fertilisation between the machine learning and software analysis communities. The book provides an overview of the machine learning techniques that can be used for software analysis and presents example applications of their use. Besides an introductory chapter, the book is structured into three parts: testing and learning, extension of automata learning, and integrative approaches.

Theoretical Aspects of Software Engineering

2023-06-26 Computers
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Release : 2023-06-26
Genre : Computers
Kind : eBook
Book Rating : 572/5 ( reviews)

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Book Synopsis Theoretical Aspects of Software Engineering by : Cristina David

Download or read book Theoretical Aspects of Software Engineering written by Cristina David. This book was released on 2023-06-26. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 17th International Conference on Theoretical Aspects of Software Engineering, TASE 2023, held in Bristol, UK, July 4–6, 2023. The 19 full papers and 2 short papers included in this book were carefully reviewed and selected from 49 submissions. They cover the following areas: distributed and concurrent systems; cyber-physical systems; embedded and real-time systems; object-oriented systems; quantum computing; formal verification and program semantics; static analysis; formal methods; verification and testing for AI systems; and AI for formal methods.

Theoretical Aspects of Software Engineering

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Book Rating : 266/5 ( reviews)

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Book Synopsis Theoretical Aspects of Software Engineering by : Wei-Ngan Chin

Download or read book Theoretical Aspects of Software Engineering written by Wei-Ngan Chin. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

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