Results 21 to 30 of about 1,260,399 (325)
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models [PDF]
ACM Transactions on Software Engineering and Methodology, 2023 Software development involves collaborative interactions where stakeholders express opinions across various platforms. Recognizing the sentiments conveyed in these interactions is crucial for the effective development and ongoing maintenance of software ...
Ting Zhang +3 more
semanticscholar +1 more source
Developing Research Questions in Natural Language Processing and Software Engineering
JOIV: International Journal on Informatics Visualization, 2018 This paper endeavors to develop newer medium of developing research questions by keeping in view both fields of SE and NLP in proper perspectives. An overview of the current state of art research in SE and NLP is presented.
Nakul Sharma, Prasanth Yalla
doaj +1 more source
Data in Brief, 2023 Developers are extracted from 17 open-source projects from GitHub. Projects are chosen that use the java programming language, the Spring framework and Maven/Gradle build tools.
Quentin Perez +2 more
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Requirements for software engineering languages [PDF]
Decision Support Systems, 1985 This paper analyzes the concepts of software construction embodied in the Draco system. The analysis relates specific mechanisms in Draco to particular software engineering (SE) principles and suggests future research needed to extend the approach. The purpose of the analysis is to help researchers understand Draco better and thus be able to direct in ...
Staa, Arndt von, Freeman, Peter
openaire +3 more sources
CAAI Transactions on Intelligence Technology, 2018 This study presents the authors’ recent research and application of a new visual programming language and its development environment: VIPLE (Visual IoT/Robotics Programming Language Environment) at Arizona State University (ASU).
Gennaro De Luca +3 more
doaj +1 more source
Software Testing With Large Language Models: Survey, Landscape, and Vision [PDF]
IEEE Transactions on Software Engineering, 2023 Pre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability to handle large-scale datasets and exhibit remarkable performance across a wide range
Junjie Wang +5 more
semanticscholar +1 more source
Development of a Graphical Tool to integrate the Prometheus AEOlus methodology and Jason Platform
Advances in Distributed Computing and Artificial Intelligence Journal, 2017 Software Engineering (SE) is an area that intends to build high-quality software in a systematic way. However, traditional software engineering techniques and methods do not support the demand for developing Multiagent Systems (MAS).
Rafhael CUNHA +2 more
doaj +1 more source
Towards verifying correctness of wireless sensor network applications using Insense and Spin [PDF]
, 2011 The design and implementation of wireless sensor network applications often require domain experts, who may lack expertise in software engineering, to produce resource-constrained, concurrent, real-time software without the support of high-level software
Balasubramaniam, Dharini +6 more
core +1 more source
Total recall, language processing, and software engineering [PDF]
Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering, 2018 4 pages, 2 figures.
Yu, Zhe, Menzies, Tim
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Survey of Knowledge-Aware Pre-Trained Language Models [PDF]
Jisuanji gongcheng, 2021 In the field of Natural Language Processing(NLP), the recent years has witnessed a rapid development in pre-training technology, and the knowledge-driven method that injects external knowledge into a pre-trained language model performs excellently in NLP
LI Yuze, LUAN Xin, KE Zunwang, LI Zhe, Wushour Silamu
doaj +1 more source