The cardiovascular frontiers: Updates from the XXIV Italian Congress of Cardiovascular Research
摘要截稿:
全文截稿: 2024-09-01
影响因子: 4.152
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 医学 - 3区
• 小类 : 药学 - 3区
Overview
Generative AI has become a major theme of great interest to both academic researchers as well as professionals in the software industry. Generative AI refers to a category of tools and algorithms that can create new output based on an extensive set of inputs (‘training data’). Current Generative AI tools that are highly relevant to software engineering include GitHub Co-Pilot and ChatGPT, as they can generate source code given a prompt, which serves as a specification. This appears to be a natural fit for Software Engineering, given the strong focus on requirements within the field in general which are frequently expressed in natural language. Clearly, Generative AI tools can be used in all phases of the software development lifecycle (whichever process is followed), including code generation, testing, and debugging. The opportunities—and challenges—appear to be endless. While many studies of Generative AI have started to appear, we are only scratching the surface of the impact of this new type of technology.
Guest editors:
Dr. Viktoria Stray, Ph.D.University of Oslo, Norway
Dr. Geir K Hanssen,Ph.D. SINTEF Digital, Norway
Professor Darja Šmite, Ph.D.Blekinge Institute of Technology, Sweden
Dr. Astri Barbala, Ph.D.SINTEF Digital, Norway
Dr. Klaas-Jan Stol, Ph.D.University College Cork, Ireland
Special issue information:
The special issue seeks to present a collection of papers that present different aspects of and perspectives on Generative AI in a software engineering context, and as such to represent a snapshot of research as a collection of curated papers that can provide a useful entry point for both researchers entering the field, software practitioners, and potentially software managers.
The focus of the special issue is on a wide range of questions on how Generative AI can be used in Software Engineering, but also on the challenges and consequences of adopting this technology in SE. As such the special issue seeks to provide a holistic overview of Generative AI in Software Engineering. The following are illustrative questions, but this list is by no means exhaustive:
In which ways can Generative AI be used effectively to improve software engineering practice? Which prerequisites and limitations must be considered?
In which ways are Generative AI technologies disruptive, and what is their impact?
How can Generative AI technologies be adopted by small and medium-sized enterprises that do not have the resources usually available in large corporations?
What are the risks of adopting Generative AI for software development?
What is the impact of adopting Generative AI on developers’ sense of achievement, motivation, and other human aspects of developers?
What are the legal concerns regarding the use of Generative AI in the software industry?
What is the impact of Generative AI on Software Engineering training and education?
Is there a “dark side” of adopting Generative AI in SE practice?