Bert-based github issue report classification
Issue tracking is one of the integral parts of software development, especially for open
source projects. GitHub, a commonly used software management tool, provides its own …
source projects. GitHub, a commonly used software management tool, provides its own …
Issue report classification using pre-trained language models
This paper describes our participation in the tool competition organized in the scope of the
1st International Workshop on Natural Language-based Software Engineering. We propose …
1st International Workshop on Natural Language-based Software Engineering. We propose …
Github issue classification using bert-style models
Recent innovations in natural language processing techniques have led to the development
of various tools for assisting software developers. This paper provides a report of our …
of various tools for assisting software developers. This paper provides a report of our …
Catiss: An intelligent tool for categorizing issues reports using transformers
M Izadi - Proceedings of the 1st international workshop on …, 2022 - dl.acm.org
Users use Issue Tracking Systems to keep track and manage issue reports in their
repositories. An issue is a rich source of software information that contains different reports …
repositories. An issue is a rich source of software information that contains different reports …
Leveraging GPT-like LLMs to Automate Issue Labeling
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 …
several approaches have been put forth for the automatic assignment of labels to issue …
Applying large language models to issue classification
Effective prioritization of issue reports in software engineering helps to optimize resource
allocation and information recovery. However, manual issue classification is laborious and …
allocation and information recovery. However, manual issue classification is laborious and …
Predicting issue types with sebert
Pre-trained transformer models are the current state-of-the-art for natural language models
processing. seBERT is such a model, that was developed based on the BERT architecture …
processing. seBERT is such a model, that was developed based on the BERT architecture …
GIRT-Data: Sampling GitHub Issue Report Templates
GitHub's issue reports provide developers with valuable information that is essential to the
evolution of a software development project. Contributors can use these reports to perform …
evolution of a software development project. Contributors can use these reports to perform …
Few-Shot Learning for Issue Report Classification
We describe our participation in the tool competition in the scope of the 2nd International
Workshop on Natural Language-based Software Engineering. We propose a supervised …
Workshop on Natural Language-based Software Engineering. We propose a supervised …
Issue report validation in an industrial context
Effective issue triaging is crucial for software development teams to improve software quality,
and thus customer satisfaction. Validating issue reports manually can be time-consuming …
and thus customer satisfaction. Validating issue reports manually can be time-consuming …