Code completion is an essential feature of IDEs, yet current auto-completers are restricted to
either grammar-based or NLP-based single token completions. Both approaches have …

Artificial intelligence (AI) has witnessed an exponential increase in use in various
applications. Recently, the academic community started to research and inject new AI-based …

User intent modeling in natural language processing deciphers user requests to allow for
personalized responses. The substantial volume of research (exceeding 13,000 …

Mobile application maintenance is crucial to ensuring the accurate operation and
continuous improvement of mobile applications (mobile apps). To effectively address issues …

Artificial Intelligence (AI) systems, which benefit from the availability of large-scale datasets
and increasing computational power, have become effective solutions to various critical …

We report on the organization and results of the tool competition of the third International
Workshop on Natural Language-based Software Engineering (NLBSE'24). As in prior …

Issue labeling is a crucial task for the effective management of software projects. To date,
several approaches have been put forth for the automatic assignment of labels to issue …

Transformer-based pre-trained models have recently achieved great results in solving many
software engineering tasks including automatic code completion which is a staple in a …

[Background] Selecting an appropriate task is challenging for Open Source Software (OSS)
project newcomers and a variety of strategies can help them in this process.[Aims] In this …

GitHub Issues is a widely used issue tracking tool in open-source software projects.
Originally designed with broad flexibility, its lack of standardization led to incomplete issue …