Results 271 to 280 of about 1,260,399 (325)

Teaching software language engineering and usability through students peer reviews

ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2018
Modelling techniques have been part of the software engineering practice for decades. Despite Model-Driven Software Engineering (Mde) being spread in the industry, effective teaching through meaningful use cases remains a challenge.
Fabian Gilson
semanticscholar   +1 more source

Towards an understanding of large language models in software engineering tasks

Empirical Software Engineering, 2023
Large 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, Kaiwen Ning, Jiachi Chen, Yanlin Wang, Wenqing Chen, Lianghong Guo, Weicheng Wang   +6 more
semanticscholar   +1 more source

A Survey on Large Language Models for Software Engineering

arXiv.org, 2023
Software Engineering (SE) is the systematic design, development, maintenance, and management of software applications underpinning the digital infrastructure of our modern world.
Quanjun Zhang, Chunrong Fang, Yang Xie, Yaxin Zhang, Yun Yang, Weisong Sun, Shengcheng Yu, Zhenyu Chen   +7 more
semanticscholar   +1 more source

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks

ACM Transactions on Software Engineering and Methodology
Large language models (LLMs) are gaining increasing popularity in software engineering (SE) due to their unprecedented performance across various applications.
Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo   +7 more
semanticscholar   +1 more source

Domain-specific languages for software engineering

Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 2005
Domain-specific languages [1, 2, 3] are programming languages for solving problems in a particular domain and provide built-in abstractions and notations for that domain. Domain-specific languages are usually small, more declarative than imperative, less expressive and more attractive than general-purpose languages because of easier programming ...
J. Heering, M. Mernik
openaire   +2 more sources

Language Engineering for Mobile Software

2012
Mobile systems offer the possibility of delivering software services that tightly match user needs, thanks to their availability right at the moment and place where they are needed, and their ability to take advantage of local resources and self-adapt to their environment of use.
Bainomugisha, Engineer, Cádiz, Alfredo, Costanza, Pascal, De Meuter, Wolfgang, Gonzalez, Sebastian, Mens, Kim, Vallejos Vargas, Jorge Antonio, Van Cutsem, Tom   +7 more
openaire   +2 more sources

Large Language Model-Based Agents for Software Engineering: A Survey

arXiv.org
The 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, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou   +6 more
semanticscholar   +1 more source

Compositional Software Language Engineering

Proceedings of the 8th India Software Engineering Conference, 2015
We examine the current state and problems of modeling enterprises as well as software systems and discuss a number of approaches to tackle those. In particular, we discuss how to make use of models in large development projects, where a set of heterogenous models of different languages needs is developed and needs to fit together e.g.
openaire   +1 more source

The Current Challenges of Software Engineering in the Era of Large Language Models

ACM Transactions on Software Engineering and Methodology
With the advent of large language models (LLMs) in the AI area, the field of software engineering (SE) has also witnessed a paradigm shift. These models, by leveraging the power of deep learning and massive amounts of data, have demonstrated an ...
Cuiyun Gao, Xing Hu, Shan Gao, Xin Xia, Zhi Jin   +4 more
semanticscholar   +1 more source

Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead

ACM Transactions on Software Engineering and Methodology
Large Language Models (LLMs) have recently shown remarkable capabilities in various software engineering tasks, spurring the rapid growth of the Large Language Models for Software Engineering (LLM4SE) area.
Jieke Shi, Zhou Yang, David Lo
semanticscholar   +1 more source