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A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models
Background: Data collected in controlled settings typically results in high-quality datasets.
However, in real-world applications, the quality of data collection is often compromised. It is …
However, in real-world applications, the quality of data collection is often compromised. It is …
Continuous Quality Improvement of AI-based Systems: the QualAI Project
QualAI is a two-year project aimed at defining a set of recommenders to continuously
monitor, assess, and improve the quality of AI-based systems, with a particular focus on …
monitor, assess, and improve the quality of AI-based systems, with a particular focus on …
Advancing intrinsic and non-intrinsic bug classification with NLP, machine learning, and few-shot prompt engineering
P Bhandari - 2024 - open.library.ubc.ca
Bug classification is a pivotal approach in analyzing bugs, streamlining debugging
processes, and facilitating analysis. Recent studies have shown that bugs can be …
processes, and facilitating analysis. Recent studies have shown that bugs can be …