27 citations · 99 across the 14 of their papers we have counts for
14 papers
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging
Shiyang Li, Haoyang Chen, Mattia Fazzini +1
Debugging CUDA programs has long been challenging because failures often arise from subtle interactions among hardware behavior, compiler decisions, memory hierarchy, and asynchron…
Improving LLM-Driven Test Generation by Learning from Mocking Information
Jamie Lee, Flynn Teh, Hengcheng Zhu +3
Large Language Models (LLMs) have recently shown strong potential for automated unit test generation. This has motivated us to investigate whether developer-defined test doubles (c…
Human-Agent versus Human Pull Requests: A Testing-Focused Characterization and Comparison
Roberto Milanese, Francesco Salzano, Angelica Spina +4
AI-based coding agents are increasingly integrated into software development workflows, collaborating with developers to create pull requests (PRs). Despite their growing adoption,…
An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models
Shlok Tomar, Aryan Deshwal, Ethan Villalovoz +3
We consider the task of generating functionally correct code using large language models (LLMs). The correctness of generated code is influenced by the prompt used to query the giv…
LADs: Leveraging LLMs for AI-Driven DevOps
Ahmad Faraz Khan, Azal Ahmad Khan, Anas Mohamed +7
Automating cloud configuration and deployment remains a critical challenge due to evolving infrastructures, heterogeneous hardware, and fluctuating workloads. Existing solutions la…
ICST Tool Competition 2025 -- Self-Driving Car Testing Track
Christian Birchler, Stefan Klikovits, Mattia Fazzini +1
This is the first edition of the tool competition on testing self-driving cars (SDCs) at the International Conference on Software Testing, Verification and Validation (ICST). The a…
Automatically Removing Unnecessary Stubbings from Test Suites
Mengzhen Li, Mattia Fazzini
Most modern software systems are characterized by a high number of components whose interactions can affect and complicate testing activities. During testing, developers can accoun…
An Empirical Investigation into the Reproduction of Bug Reports for Android Apps
Jack Johnson, Junayed Mahmud, Tyler Wendland +3
One of the key tasks related to ensuring mobile app quality is the reporting, management, and resolution of bug reports. As such, researchers have committed considerable resources…
Automatically Detecting API-induced Compatibility Issues in Android Apps: A Comparative Analysis (Replicability Study)
Pei Liu, Yanjie Zhao, Haipeng Cai +3
Fragmentation is a serious problem in the Android ecosystem. This problem is mainly caused by the fast evolution of the system itself and the various customizations independently m…
Identifying and Characterizing Silently-Evolved Methods in the Android API
Pei Liu, Li Li, Yichun Yan +2
With over 500,000 commits and more than 700 contributors, the Android platform is undoubtedly one of the largest industrial-scale software projects. This project provides the Andro…
Do Customized Android Frameworks Keep Pace with Android?
Pei Liu, Mattia Fazzini, John Grundy +1
To satisfy varying customer needs, device vendors and OS providers often rely on the open-source nature of the Android OS and offer customized versions of the Android OS. When a ne…
Enhancing Mobile App Bug Reporting via Real-time Understanding of Reproduction Steps
Mattia Fazzini, Kevin Moran, Carlos Bernal Cardenas +3
One of the primary mechanisms by which developers receive feedback about in-field failures of software from users is through bug reports. Unfortunately, the quality of manually wri…
AndroR2: A Dataset of Manually Reproduced Bug Reports for Android Applications
Tyler Wendland, Jingyang Sun, Junayed Mahmud +5
Software maintenance constitutes a large portion of the software development lifecycle. To carry out maintenance tasks, developers often need to understand and reproduce bug report…
From Manual Android Tests to Automated and Platform Independent Test Scripts
Mattia Fazzini, Eduardo Noronha de A. Freitas, Shauvik Roy Choudhary +1
Because Mobile apps are extremely popular and often mission critical nowadays, companies invest a great deal of resources in testing the apps they provide to their customers. Testi…