activity
20222026
most citedNeural-Based Test Oracle Generation: A Large-scale Evaluation and Lessons Learned

28 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Syntax-driven Incremental Program Verification of Matching Logic Properties

Domenico Bianculli, Antonio Filieri, Carlo Ghezzi +2

Incrementality is a fundamental design principle to master the complexity of large, long-lived software systems. This principle has been embraced by agile development processes and…

cs.AI2025

Robust Probabilistic Model Checking with Continuous Reward Domains

Xiaotong Ji, Hanchun Wang, Antonio Filieri +1

Probabilistic model checking traditionally verifies properties on the expected value of a measure of interest. This restriction may fail to capture the quality of service of a sign…

cs.SE2023★ 28 cited

Neural-Based Test Oracle Generation: A Large-scale Evaluation and Lessons Learned

Soneya Binta Hossain, Antonio Filieri, Matthew B. Dwyer +2

Defining test oracles is crucial and central to test development, but manual construction of oracles is expensive. While recent neural-based automated test oracle generation techni…

cs.LG2023

Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)

Xiaotong Ji, Antonio Filieri

Safe exploration aims at addressing the limitations of Reinforcement Learning (RL) in safety-critical scenarios, where failures during trial-and-error learning may incur high costs…

cs.SE2022

Rigorous Assessment of Model Inference Accuracy using Language Cardinality

Donato Clun, Donghwan Shin, Antonio Filieri +1

Models such as finite state automata are widely used to abstract the behavior of software systems by capturing the sequences of events observable during their execution. Neverthele…