research
∙
08/25/2023
On the Impact of Language Selection for Training and Evaluating Programming Language Models
The recent advancements in Transformer-based Language Models have demons...
share
research
∙
04/24/2023
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study
Transformer-based pre-trained models have recently achieved great result...
research
∙
02/27/2023
The (ab)use of Open Source Code to Train Large Language Models
In recent years, Large Language Models (LLMs) have gained significant po...
research
∙
02/25/2023
STACC: Code Comment Classification using SentenceTransformers
Code comments are a key resource for information about software artefact...
research
∙
02/13/2023
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge
Previous work has shown that Large Language Models are susceptible to so...
research
∙
01/04/2023
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
Reverse engineering binaries is required to understand and analyse progr...
research
∙
11/01/2022
LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings
Software artifacts often interact with each other throughout the softwar...
research
∙
05/31/2022
Semantically-enhanced Topic Recommendation System for Software Projects
Software-related platforms have enabled their users to collaboratively l...
research
∙
03/31/2022
CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers
Users use Issue Tracking Systems to keep track and manage issue reports ...
research
∙
03/31/2022
On the Evaluation of NLP-based Models for Software Engineering
NLP-based models have been increasingly incorporated to address SE probl...
research
∙
02/14/2022
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences
Code completion is an essential feature of IDEs, yet current autocomplet...
research
∙
07/05/2021
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data
An issue documents discussions around required changes in issue-tracking...
research
∙
12/20/2020
Predicting the Objective and Priority of Issue Reports in a Cross project Context
Proper documentation plays an important role in successful software mana...
research
∙
10/18/2020
Topic Recommendation for Software Repositories using Multi-label Classification Algorithms
Many platforms exploit collaborative tagging to provide their users with...
research
∙
05/30/2020
Improving Quality of a Post's Set of Answers in Stack Overflow
Community Question Answering platforms such as Stack Overflow help a wid...
research
∙
12/11/2018