| Publication type: | Conference paper |
| Type of review: | Not specified |
| Title: | Summary of the 1st Natural Language-based Software Engineering Workshop (NLBSE 2022) |
| Authors: | Di Sorbo, Andrea Panichella, Sebastiano |
| et. al: | No |
| DOI: | 10.1145/3573074.3573101 |
| Published in: | ACM SIGSOFT Software Engineering Notes |
| Volume(Issue): | 48 |
| Issue: | 1 |
| Page(s): | 101 |
| Pages to: | 104 |
| Conference details: | 1st International Workshop on Natural Language-Based Software Engineering (NLBSE), Pittsburgh, USA (online), 8 May 2022 |
| 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) refers to automatic computational processing of human language, including both algorithms that take human-produced text as input and algorithms that produce natural-looking text as outputs. There is a widespread and growing usage of NLP approaches to optimize many aspects of the development process of software systems. In particular, since natural language artifacts are used and reused during the software development lifecycle, the availability of natural language-based approaches and tools enabled the envisioning of methods for improving efficiency in software engineers, processes, and products. The research community has been discussing these approaches in the 1st edition of the Natural Language-Based Software Engineering Workshop (NLBSE), collocated with ICSE (the International Conference on Software Engineering) in 2022. This event brought together researchers and industrial practitioners from NLP and the software engineering community to share experiences, provide directions for future research, and encourage the usage of NLP techniques and tools for addressing software engineeringspecific challenges. In this paper, we present a summary of the 1st edition of the workshop, which comprised five full papers, four short/position papers, five tool competition/demonstration papers, one keynote (“Deep Learning & Software Engineering: Past, Present and Future” by Denys Poshyvanyk), followed by extensive discussion among NLBSE participants. More details can be found at https://nlbse2022.github.io/index.html |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/26923 |
| 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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Di Sorbo, A., & Panichella, S. (2023). Summary of the 1st Natural Language-based Software Engineering Workshop (NLBSE 2022) [Conference paper]. ACM SIGSOFT Software Engineering Notes, 48(1), 101–104. https://doi.org/10.1145/3573074.3573101
Di Sorbo, A. and Panichella, S. (2023) ‘Summary of the 1st Natural Language-based Software Engineering Workshop (NLBSE 2022)’, in ACM SIGSOFT Software Engineering Notes. Association for Computing Machinery, pp. 101–104. Available at: https://doi.org/10.1145/3573074.3573101.
A. Di Sorbo and S. Panichella, “Summary of the 1st Natural Language-based Software Engineering Workshop (NLBSE 2022),” in ACM SIGSOFT Software Engineering Notes, 2023, vol. 48, no. 1, pp. 101–104. doi: 10.1145/3573074.3573101.
DI SORBO, Andrea und Sebastiano PANICHELLA, 2023. Summary of the 1st Natural Language-based Software Engineering Workshop (NLBSE 2022). In: ACM SIGSOFT Software Engineering Notes. Conference paper. Association for Computing Machinery. 2023. S. 101–104
Di Sorbo, Andrea, and Sebastiano Panichella. 2023. “Summary of the 1st Natural Language-Based Software Engineering Workshop (NLBSE 2022).” Conference paper. In ACM SIGSOFT Software Engineering Notes, 48:101–4. Association for Computing Machinery. https://doi.org/10.1145/3573074.3573101.
Di Sorbo, Andrea, and Sebastiano Panichella. “Summary of the 1st Natural Language-Based Software Engineering Workshop (NLBSE 2022).” ACM SIGSOFT Software Engineering Notes, vol. 48, no. 1, Association for Computing Machinery, 2023, pp. 101–4, https://doi.org/10.1145/3573074.3573101.
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