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Towards an understanding of large language models in software engineering tasks
Empirical Software Engineering, 2023Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after.
Zibin Zheng +6 more
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How ChatGPT Will Change Software Engineering Education
Annual Conference on Innovation and Technology in Computer Science Education, 2023This position paper discusses the potential for using generative AIs like ChatGPT in software engineering education. Currently, discussions center around potential threats emerging from student's use of ChatGPT. For instance, generative AI will limit the
Marian Daun, Jennifer Brings
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Generative Artificial Intelligence for Software Engineering—A Research Agenda
Software, Practice & Experience, 2023Generative artificial intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activities.
Anh Nguyen-Duc +14 more
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Toward a Quantum Software Engineering
IT Professional, 2021Nowadays, we are at the dawn of a new age, the quantum era. Quantum computing is no longer a dream; it is a reality that needs to be adopted. But this new technology is taking its first steps, so we still do not have models, standards, or methods to help
M. Piattini +4 more
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SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Neural Information Processing SystemsLanguage model (LM) agents are increasingly being used to automate complicated tasks in digital environments. Just as humans benefit from powerful software applications, such as integrated development environments, for complex tasks like software ...
John Yang +6 more
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Agentless: Demystifying LLM-based Software Engineering Agents
arXiv.orgRecent advancements in large language models (LLMs) have significantly advanced the automation of software development tasks, including code synthesis, program repair, and test generation.
Chun Xia +3 more
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Software and Software Engineering
SIAM Review, 1973First, we give a short account of the preclassical (Babbage, Ludgate) and classical (Zuze, von Neumann, Wilkes) initial steps in establishing programming concepts. The net result of the 1945–1955 decade was a thorough underestimate of the role software would play in the next decade.
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Large Language Model-Based Agents for Software Engineering: A Survey
ACM Transactions on Software Engineering and MethodologyThe recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI agents, i.e., LLM-based agents. Compared to standalone LLMs, LLM-based agents substantially extend the versatility and expertise of LLMs by enhancing LLMs with the ...
Junwei Liu +6 more
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Sampling in software engineering research: a critical review and guidelines
Empirical Software Engineering, 2020Representative sampling appears rare in empirical software engineering research. Not all studies need representative samples, but a general lack of representative sampling undermines a scientific field. This article therefore reports a critical review of
Sebastian Baltes, P. Ralph
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