79 citations · 122 across the 9 of their papers we have counts for
10 papers
Leveraging Large Language Models to Improve REST API Testing
Myeongsoo Kim, Tyler Stennett, Dhruv Shah +2
The widespread adoption of REST APIs, coupled with their growing complexity and size, has led to the need for automated REST API testing tools. Current tools focus on the structure…
Adaptive REST API Testing with Reinforcement Learning
Myeongsoo Kim, Saurabh Sinha, Alessandro Orso
Modern web services increasingly rely on REST APIs. Effectively testing these APIs is challenging due to the vast search space to be explored, which involves selecting API operatio…
Automated Test Generation for REST APIs: No Time to Rest Yet
Myeongsoo Kim, Qi Xin, Saurabh Sinha +1
Modern web services routinely provide REST APIs for clients to access their functionality. These APIs present unique challenges and opportunities for automated testing, driving the…
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…
Testing DBMS Performance with Mutations
Xinyu Liu, Qi Zhou, Joy Arulraj +1
Because database systems are the critical component of modern data-intensive applications, it is important to ensure that they operate correctly. To this end, developers extensivel…
Robustness of Neural Networks: A Probabilistic and Practical Approach
Ravi Mangal, Aditya V. Nori, Alessandro Orso
Neural networks are becoming increasingly prevalent in software, and it is therefore important to be able to verify their behavior. Because verifying the correctness of neural netw…