Publication type: | Conference paper |
Type of review: | Not specified |
Title: | Summary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023) |
Authors: | Panichella, Sebastiano Di Sorbo, Andrea |
et. al: | No |
DOI: | 10.1145/3617946.3617957 |
Published in: | ACM SIGSOFT Software Engineering Notes |
Volume(Issue): | 48 |
Issue: | 4 |
Page(s): | 60 |
Pages to: | 63 |
Conference details: | 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE), Melbourne, Australia, 20 May 2023 |
Issue Date: | 2023 |
Publisher / Ed. Institution: | Association for Computing Machinery |
ISSN: | 0163-5948 |
Language: | English |
Subject (DDC): | 410.285: Computational linguistics |
Abstract: | Natural language processing (NLP) involves the automated analysis and manipulation of human language. This includes algorithms that can analyze text created by humans and algorithms that can generate text that appears natural. Nowadays, NLP methods are becoming increasingly prevalent to enhance various aspects of software development. Indeed, throughout the software development lifecycle, numerous natural language artifacts are produced. Therefore, the existence of NLP-based approaches and tools has opened up possibilities for improving the e ectiveness and productivity of software engineers, processes, and products. The second edition of the Natural Language-Based Software Engineering Workshop (NLBSE) took place in 2023 alongside the 45th International Conference on Software Engineering (ICSE 2023), where the research community engaged in discussions about these approaches. This event brought together researchers and practitioners from the elds of NLP and software engineering to exchange experiences, establish future research directions, and promote the adoption of NLP techniques and tools in tackling challenges specific to software engineering. In this paper, we present a summary of the 2nd edition of the workshop, which comprised three full papers, four short/position papers, five tool competition/demonstration papers, two keynote talks (\Automated Bug Management: Re ections & the Road Ahead" by David Lo and \Trends and Opportunities in the Application of Large Language Models: the Quest for Maximum E ect" by Albert Ziegler), followed by extensive discussion among NLBSE participants. More details can be found at https://nlbse2023.github.io/index. html |
URI: | https://digitalcollection.zhaw.ch/handle/11475/30242 |
Fulltext version: | Published version |
License (according to publishing contract): | Licence according to publishing contract |
Departement: | School of Engineering |
Organisational Unit: | Institute of Computer Science (InIT) |
Published as part of the ZHAW project: | COSMOS – DevOps for Complex Cyber-physical Systems of Systems |
Appears in collections: | Publikationen School of Engineering |
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Panichella, S., & Di Sorbo, A. (2023). Summary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023) [Conference paper]. ACM SIGSOFT Software Engineering Notes, 48(4), 60–63. https://doi.org/10.1145/3617946.3617957
Panichella, S. and Di Sorbo, A. (2023) ‘Summary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023)’, in ACM SIGSOFT Software Engineering Notes. Association for Computing Machinery, pp. 60–63. Available at: https://doi.org/10.1145/3617946.3617957.
S. Panichella and A. Di Sorbo, “Summary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023),” in ACM SIGSOFT Software Engineering Notes, 2023, vol. 48, no. 4, pp. 60–63. doi: 10.1145/3617946.3617957.
PANICHELLA, Sebastiano und Andrea DI SORBO, 2023. Summary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023). In: ACM SIGSOFT Software Engineering Notes. Conference paper. Association for Computing Machinery. 2023. S. 60–63
Panichella, Sebastiano, and Andrea Di Sorbo. 2023. “Summary of the 2nd Natural Language-Based Software Engineering Workshop (NLBSE 2023).” Conference paper. In ACM SIGSOFT Software Engineering Notes, 48:60–63. Association for Computing Machinery. https://doi.org/10.1145/3617946.3617957.
Panichella, Sebastiano, and Andrea Di Sorbo. “Summary of the 2nd Natural Language-Based Software Engineering Workshop (NLBSE 2023).” ACM SIGSOFT Software Engineering Notes, vol. 48, no. 4, Association for Computing Machinery, 2023, pp. 60–63, https://doi.org/10.1145/3617946.3617957.
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