Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Andrea Stocco
Observed name:
Stocco, Andrea
Institutions:
Fortiss,
Technical University of Munich
Observed institutions:
Fortiss,
Technical University of Munich
ORCID:
0000-0001-8956-3894
Observed ORCID:
0000-0001-8956-3894
OpenAlex ID:
A5140198398
Search-Based Testing of Vision Language Models for In-Car Scene Understanding
2026
·
Lev Sorokin
, Chen Yang
, et al.
·
IEEE/ACM International Conference on Automated Software Engineering (ASE)
·
1
Real-World Perturbation Testing of Autonomous Driving Systems
2026
·
Stefano Carlo Lambertenghi
, Matthias Weil
, et al.
·
IEEE/ACM International Conference on Automated Software Engineering (ASE)
·
1
E-CoDrive: A Co-Simulation Framework for Testing Energy-Critical Driving Scenarios
2026
·
Manfredi Napolitano
, Alessandra Somma
, et al.
·
IEEE/ACM International Conference on Automated Software Engineering (ASE)
Cam2Sim: Neural Scenario Reconstruction for Closed-Loop Autonomous Driving Simulation
2026
·
Davide Jannussi
, Stefano Carlo Lambertenghi
, et al.
·
IEEE/ACM International Conference on Automated Software Engineering (ASE)
Automated Evaluation of Multi-Turn Dialogues in In-Car Conversational Assistants
2026
·
Negi, Vaishnav
, Sorokin, Lev
, et al.
·
arXiv (Cornell University)
PDF
Diversity-Guided Search-Based Testing of Large Language Model Applications
2026
·
Sorokin, Lev
, Vasilev, Ivan
, et al.
·
arXiv (Cornell University)
PDF
CodeTransBenchmark: Evaluating LLM-based Code Translation and Repair Across Programming Languages
2026
·
Kowalczuk, Vera
, Weißl, Oliver
, et al.
·
arXiv (Cornell University)
PDF
STELLAR: A Search-Based Testing Framework for Large Language Model Applications
2026
·
Sorokin, Lev
, Vasilev, Ivan
, et al.
·
arXiv (Cornell University)
STELLAR: A Search-Based Testing Framework for Large Language Model Applications
2026
·
Sorokin, Lev
, Vasilev, Ivan
, et al.
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
9
Citation count:
2
H-index:
1
I10-index:
Year
Topic
Type