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- Interdisciplinary Centre for Security, Reliability and TrustLU193 papers
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- Donostia International Physics CenterES66 papers
- Forschungszentrum JülichDE37 papers
- Polish Academy of SciencesPL36 papers
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101 papers · 1 filter
Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants
Asma Hamidi, Ahmed Khanfir, Mike Papadakis
This paper presents intent-based mutation testing, a testing approach that generates mutations by changing the programming intents that are implemented in the programs under test.…
Low-code and no-code with BESSER to create and deploy smart web applications
Iván Alfonso, Armen Sulejmani, Aaron Conrardy +1
The increasing demand for web applications containing AI-agents, seen as smart web applications, has prompted the need for new techniques to facilitate their creation. Low-code has…
A Low-Code Approach for the Automatic Personalization of Conversational Agents
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot
The rise of Large Language Models (LLMs) has increased the demand for Conversational Agents (CAs) capable of understanding human conversations as part of web applications. While tr…
Learned or Memorized ? Quantifying Memorization Advantage in Code LLMs
Djiré Albérick Euraste, Kaboré Abdoul Kader, Jordan Samhi +3
The lack of transparency about code datasets used to train large language models (LLMs) makes it difficult to detect, evaluate, and mitigate data leakage. We present a perturbation…
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
Yuejun Guo, Qiang Hu, Qiang Tang +1
Vulnerability detection is crucial to protect software security. Nowadays, deep learning (DL) is the most promising technique to automate this detection task, leveraging its superi…
Directed Grammar-Based Test Generation
Lukas Kirschner, Ezekiel Soremekun
To effectively test complex software, it is important to generate goal-specific inputs, i.e., inputs that achieve a specific testing goal. However, most state-of-the-art test gener…