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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.

Software Engineering and Formal Methods

2022-09-21 Computers
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Release : 2022-09-21
Genre : Computers
Kind : eBook
Book Rating : 08X/5 ( reviews)

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Book Synopsis Software Engineering and Formal Methods by : Bernd-Holger Schlingloff

Download or read book Software Engineering and Formal Methods written by Bernd-Holger Schlingloff. This book was released on 2022-09-21. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th International Conference on Software Engineering and Formal Methods, SEFM 2022, which took place in Berlin, Germany, in September 2022. The 19 full and 3 short papers included in this book were carefully reviewed and selected from 62 submissions. They were organized in topical sections as follows: software verification; program analysis; verifier technology; formal methods for intelligent and learning systems; specification and contracts; program synthesis; temporal logic; and runtime methods.

Tests and Proofs

2021-06-17 Computers
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Release : 2021-06-17
Genre : Computers
Kind : eBook
Book Rating : 796/5 ( reviews)

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Book Synopsis Tests and Proofs by : Frédéric Loulergue

Download or read book Tests and Proofs written by Frédéric Loulergue. This book was released on 2021-06-17. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 15th International Conference on Tests and Proofs, TAP 2021, which was held as part of Software Technologies: Applications and Foundations, STAF 2021, and took place online during June 12-25, 2021. The 6 full papers included in this volume were carefully reviewed and selected from 10 submissions. They were organized in topical sections on learning, test resource allocation and benchmarks and on testing.

Advancing Software Engineering Through AI, Federated Learning, and Large Language Models

2024-05-02 Computers
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Release : 2024-05-02
Genre : Computers
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Book Synopsis Advancing Software Engineering Through AI, Federated Learning, and Large Language Models by : Sharma, Avinash Kumar

Download or read book Advancing Software Engineering Through AI, Federated Learning, and Large Language Models written by Sharma, Avinash Kumar. This book was released on 2024-05-02. Available in PDF, EPUB and Kindle. Book excerpt: The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.

NASA Formal Methods

2019-05-28 Computers
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Release : 2019-05-28
Genre : Computers
Kind : eBook
Book Rating : 521/5 ( reviews)

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Book Synopsis NASA Formal Methods by : Julia M. Badger

Download or read book NASA Formal Methods written by Julia M. Badger. This book was released on 2019-05-28. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th International Symposium on NASA Formal Methods, NFM 2019, held in Houston, TX, USA, in May 2019. The 20 full and 8 short papers presented in this volume were carefully reviewed and selected from 102 submissions. The papers focus on formal verification, including theorem proving, model checking, and static analysis; advances in automated theorem proving including SAT and SMT solving; use of formal methods in software and system testing; run-time verification; techniques and algorithms for scaling formal methods, such as abstraction and symbolic methods, compositional techniques, as well as parallel and/or distributed techniques; code generation from formally verified models; safety cases and system safety; formal approaches to fault tolerance; theoretical advances and empirical evaluations of formal methods techniques for safety-critical systems, including hybrid and embedded systems; formal methods in systems engineering and model-based development; correct-by-design controller synthesis; formal assurance methods to handle adaptive systems.

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