Artificial Intelligence Methods For Software Engineering
Artificial Intelligence Methods For Software Engineering

Author: Meir Kalech

Publisher: World Scientific

Published: 2021-06-15

Total Pages: 457

ISBN-13: 9811239932

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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)

Readings in Artificial Intelligence and Software Engineering
Readings in Artificial Intelligence and Software Engineering

Author: Charles Rich

Publisher: Morgan Kaufmann

Published: 2014-06-28

Total Pages: 625

ISBN-13: 1483214427

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Readings in Artificial Intelligence and Software Engineering covers the main techniques and application of artificial intelligence and software engineering. The ultimate goal of artificial intelligence applied to software engineering is automatic programming. Automatic programming would allow a user to simply say what is wanted and have a program produced completely automatically. This book is organized into 11 parts encompassing 34 chapters that specifically tackle the topics of deductive synthesis, program transformations, program verification, and programming tutors. The opening parts provide an introduction to the key ideas to the deductive approach, namely the correspondence between theorems and specifications and between constructive proofs and programs. These parts also describes automatic theorem provers whose development has be designed for the programming domain. The subsequent parts present generalized program transformation systems, the problems involved in using natural language input, the features of very high level languages, and the advantages of the programming by example system. Other parts explore the intelligent assistant approach and the significance and relation of programming knowledge in other programming system. The concluding parts focus on the features of the domain knowledge system and the artificial intelligence programming. Software engineers and designers and computer programmers, as well as researchers in the field of artificial intelligence will find this book invaluable.

Software Engineering: Artificial Intelligence, Compliance, and Security
Software Engineering: Artificial Intelligence, Compliance, and Security

Author: Brian D'Andrade

Publisher:

Published: 2021-02-16

Total Pages:

ISBN-13: 9781536189896

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Information security is important in every aspect of daily life. This book examines four areas where risks are present: artificial intelligence (AI), the internet of things (IoT), government and malware. The authors channel their experience and research into an accessible body of knowledge for consideration by professionals.AI is introduced as a tool for healthcare, security and innovation. The advantages of using AI in new industries are highlighted in the context of recent developments in mechanical engineering, and a survey of AI software risks is presented focusing on well-publicized failures and US FDA regulatory guidelines.The risks associated with the billions of devices that form the IoT grow with the availability of such devices in consumer products, healthcare, energy infrastructure and transportation. The risks, software engineering risk mitigation methods and standards promoting a level of care for the manufacture of IoT devices are examined because of their importance for software developers.Strategic insights for software developers looking to do business with the US federal government are presented, considering threats to both public and private sectors as well as governmental priorities from recent executive and legislative branch actions.Finally, an analysis of malicious software that infects numerous computer systems each day and causes millions of dollars in damages every year is presented. Malicious software, or "malware," is software designed with hostile intent, but the damage may be mitigated with static and dynamic analyses, which are processes for studying how malware operates and analyzing potential impacts.

Artificial Intelligence and Software Engineering
Artificial Intelligence and Software Engineering

Author: Derek Partridge

Publisher: Routledge

Published: 2013-04-11

Total Pages: 287

ISBN-13: 1136594469

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Managers, business owners, computer literate individuals, software developers, students, and researchers--all are looking for an understanding of artificial intelligence (AI) and what might be in the future. In this literate yet easy-to-read discussion, Derek Partridge explains what artificial intelligence can and cannot do, and what it holds for applications such as banking, financial services, and expert systems of all kinds. Topics include: the strengths and weaknesses of software development and engineering; machine learning and its promises and problems; expert systems and success stories; and practical software through artificial intelligence.

Advances in Machine Learning Applications in Software Engineering
Advances in Machine Learning Applications in Software Engineering

Author: Zhang, Du

Publisher: IGI Global

Published: 2006-10-31

Total Pages: 498

ISBN-13: 1591409438

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"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.

Machine Learning Applications In Software Engineering
Machine Learning Applications In Software Engineering

Author: Du Zhang

Publisher: World Scientific

Published: 2005-02-21

Total Pages: 367

ISBN-13: 9814481424

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Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.

Artificial Intelligence, Computer and Software Engineering Advances
Artificial Intelligence, Computer and Software Engineering Advances

Author: Miguel Botto-Tobar

Publisher: Springer Nature

Published: 2021-04-20

Total Pages: 489

ISBN-13: 3030680800

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This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering

Artificial Intelligence, Computer and Software Engineering Advances
Artificial Intelligence, Computer and Software Engineering Advances

Author: Miguel Botto-Tobar

Publisher: Springer Nature

Published: 2021-04-20

Total Pages: 488

ISBN-13: 3030680835

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This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering

Software Engineering: Evolution and Emerging Technologies
Software Engineering: Evolution and Emerging Technologies

Author: K. Zieliński

Publisher: IOS Press

Published: 2005-09-27

Total Pages: 448

ISBN-13: 1607501422

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The capability to design quality software and implement modern information systems is at the core of economic growth in the 21st century. Nevertheless, exploiting this potential is only possible when adequate human resources are available and when modern software engineering methods and tools are used. The recent years have witnessed rapid evolution of software engineering methodologies, including the creation of new platforms and tools which aim to shorten the software design process, raise its quality and cut down its costs. This evolution is made possible through ever-increasing knowledge of software design strategies as well as through improvements in system design and code testing procedures. At the same time, the need for broad access to high-performance and high-throughput computing resources necessitates the creation of large-scale, interactive information systems, capable of processing millions of transactions per seconds. These systems, in turn, call for new, innovative distributed software design and implementation technologies. The purpose of this book is to review and analyze emerging software engineering technologies, focusing on the evolution of design and implementation platforms as well as on novel computer systems related to the development of modern information services.