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dc.contributor.authorPanichella, Sebastiano-
dc.contributor.authorDi Sorbo, Andrea-
dc.date.accessioned2024-03-15T15:35:11Z-
dc.date.available2024-03-15T15:35:11Z-
dc.date.issued2023-
dc.identifier.issn0163-5948de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/30242-
dc.description.abstractNatural 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. htmlde_CH
dc.language.isoende_CH
dc.publisherAssociation for Computing Machineryde_CH
dc.relation.ispartofACM SIGSOFT Software Engineering Notesde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleSummary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023)de_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1145/3617946.3617957de_CH
zhaw.conference.details2nd International Workshop on Natural Language-Based Software Engineering (NLBSE), Melbourne, Australia, 20 May 2023de_CH
zhaw.funding.euinfo:eu-repo/grantAgreement/EC/H2020/957254//DevOps for Complex Cyber-physical Systems/COSMOSde_CH
zhaw.issue4de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end63de_CH
zhaw.pages.start60de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume48de_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.webfeedSoftware Engineeringde_CH
zhaw.funding.zhawCOSMOS – DevOps for Complex Cyber-physical Systems of Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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