[HTML][HTML] Survey of annotation generators for deductive verifiers

S Lathouwers, M Huisman - Journal of Systems and Software, 2024 - Elsevier
Deductive verifiers require intensive user interaction in the form of writing precise
specifications, thereby limiting their use in practice. While many solutions have been …

Vulnerability mimicking mutants

A Garg, R Degiovanni, M Papadakis… - arXiv preprint arXiv …, 2023 - arxiv.org
With the increasing release of powerful language models trained on large code corpus (eg
CodeBERT was trained on 6.4 million programs), a new family of mutation testing tools has …

Guiding Quality Assurance Through Context Aware Learning

A Garg - 2023 - orbilu.uni.lu
Software Testing is a quality control activity that, in addition to finding flaws or bugs, provides
confidence in the software's correctness. The quality of the developed software depends on …

Exploring the usage of pre-trained models for code-related tasks

A Mastropaolo - 2024 - sonar.ch
Developers are often faced with the challenge of writing high-quality code while meeting
strong time constraints. Recent literature exploits Deep Learning (DL) models to support …