• Large Language Models in Software Engineering: A Focus on Issue Report Classification and User Acceptance Test Generation
• Towards Predicting Fragility in End-to-End Web Tests
• Can Large Language Models Automatically Generate GIS Reports?
• Tree Kernels to Support Formal Methods-Based Testing of Evolving Specifications
• AI-based Fault-proneness Metrics for Source Code Changes
• Starting a new REST API project? A performance benchmark of frameworks and execution environments
• Mobility Data Analytics with KNOT: the KNime mObility Toolkit
• ADAS Verification in Co-Simulation: Towards a Meta-Model for Defining Test Scenarios
• E2E-Loader: A Framework to Support Performance Testing of Web Applications
• A Neural Embedding-based Recommender System to Get the Most out of EV Recharge Times
• Change-Aware Regression Test Prioritization using Genetic Algorithms
• GenRL at the SBST 2022 Tool Challenge
• ReCover: a Curated Dataset for Regression Testing Research
• Web Application Testing: Using Tree Kernels to Detect Near-duplicate States in Automated Model Inference
• Vehicular Crowd-Sensing on Complex Urban Road Networks: A Case Study in the City of Porto
• Expressing structural temporal properties of safety critical hierarchical systems
• Detecting Near-duplicate States in Web Application Model Inference: a Tree Kernel-based Approach
• Inspecting code churns to prioritize test cases
• From Dynamic State Machines to Promela