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Distilled GPT for source code summarization
A code summary is a brief natural language description of source code. Summaries are
usually only a single sentence long, and yet form the backbone of developer documentation …
usually only a single sentence long, and yet form the backbone of developer documentation …
Deep learning model reuse in the huggingface community: Challenges, benefit and trends
M Taraghi, G Dorcelus, A Foundjem… - … on Software Analysis …, 2024 - ieeexplore.ieee.org
The ubiquity of large-scale Pre-Trained Models (PTMs) is on the rise, sparking interest in
model hubs, and dedicated platforms for hosting PTMs. Despite this trend, a comprehensive …
model hubs, and dedicated platforms for hosting PTMs. Despite this trend, a comprehensive …
Communicating study design trade-offs in software engineering
Reflecting on the limitations of a study is a crucial part of the research process. In software
engineering studies, this reflection is typically conveyed through discussions of study …
engineering studies, this reflection is typically conveyed through discussions of study …
What Do Developers Feel About Fast-Growing Programming Languages? An Exploratory Study
The developer community has witnessed an unprecedented surge in recent years, with over
100 million active developers on the GitHub platform in 2023. Along with it, there is a …
100 million active developers on the GitHub platform in 2023. Along with it, there is a …
Negativity in self-admitted technical debt: how sentiment influences prioritization
Abstract Self-Admitted Technical Debt, or SATD, is a self-admission of technical debt present
in a software system. The presence of SATD in software systems negatively affects …
in a software system. The presence of SATD in software systems negatively affects …
A bot identification model and tool based on GitHub activity sequences
Identifying whether GitHub contributors are automated bots is important for empirical
research on collaborative software development practices. Multiple such bot identification …
research on collaborative software development practices. Multiple such bot identification …
Semantic similarity loss for neural source code summarization
This paper presents a procedure for and evaluation of using a semantic similarity metric as a
loss function for neural source code summarization. Code summarization is the task of …
loss function for neural source code summarization. Code summarization is the task of …
[PDF][PDF] Distinguishing Bots from Human Developers Based on Their GitHub Activity Types.
Abstract Development bots are being used by maintainers of GitHub repositories to perform
repetitive or error-prone tasks. While multiple approaches have been proposed in the past to …
repetitive or error-prone tasks. While multiple approaches have been proposed in the past to …