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B01=Anh Nguyen-Duc
B01=Foutse Khomh
B01=Pekka Abrahamsson
Category1=Non-Fiction
Category=UMZ
Category=UYQ
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Generative AI for Effective Software Development

English

This book provides a comprehensive, empirically grounded exploration of how Generative AI is reshaping the landscape of software development. It emphasizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integration of Generative AI, highlighting how these advanced tools are adapted to and influence diverse cultural, organizational, and technological environments.

This book is structured to provide a comprehensive understanding of Generative AI and its transformative impact on the field of software engineering. The book is divided into five parts, each focusing on different aspects of Generative AI in software development. As an introduction, Part 1 presents the fundamentals of Generative AI adoption. Part 2 is a collection of empirical studies and delves into the practical aspects of integrating Generative AI tools in software engineering, with a focus on patterns, methodologies, and comparative analyses. Next, Part 3 presents case studies that showcase the application and impact of Generative AI in various software development contexts. Part 4 then examines how Generative AI is reshaping software engineering processes, from collaboration and workflow to management and agile development. Finally, Part 5 looks towards the future, exploring emerging trends, future directions, and the role of education in the context of Generative AI.

The book offers diverse perspectives as it compiles research and experiences from various countries and software development environments. It also offers non-technical discussions about Generative AI in management, teamwork, business and education. This way, it is intended for both researchers in software engineering and for professionals in industry who want to learn about the impactof Generative AI on software development.


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Current price €116.84
Original price €122.99
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Age Group_Uncategorizedautomatic-updateB01=Anh Nguyen-DucB01=Foutse KhomhB01=Pekka AbrahamssonCategory1=Non-FictionCategory=UMZCategory=UYQCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 23 May 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 23 May 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031556418

About

Anh Nguyen-Duc is a Full Professor of Software Engineering at University of South Eastern Norway. He has more than 150 peer-reviewed publications in high-ranked journals conferences and workshops in software engineering field including software startups software engineering education and AI Ethics. He leads several works on generative AI for software development and education. Currently he spearheads multiple national initiatives focusing on generative AI for both software development and education.Pekka Abrahamsson is a Full Professor of Software Engineering at Tampere University Finland. He heads the Applied AI Research Centre (AI HUB) and directs GPT-labs where large language models are developed and tested. He is a pioneer in the field of agile software development and his current research interests focus on advancing software engineering through generative AI technologies. He is a member of the Finnish Academy of Science and Letters and has an h-index of 64. Foutse Khomh is a Full Professor of Software Engineering at Polytechnique Montréal a Canada CIFAR AI Chair on Trustworthy Machine Learning Software Systems an NSERC Arthur B. McDonald Fellow and an FRQ-IVADO Research Chair on Software Quality Assurance for Machine Learning Applications. He has conducted pioneer work on improving the trustworthiness of artificial intelligence-based software systems and exercised strong leadership in bringing together the software engineering community and the industry to develop novel theories techniques and tools for improving the quality assurance of artificial intelligence-based software systems.

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