… In Section 3, we detail the evaluation we conducted by defining the research questions and
… -random fashion, or by following a model-based approach, or other systematic approaches. …

… (a) whether the replayer can replay traces collected from the base … effective regression testing
approach for model-based distributed … EVALUATION In this section, we use the evaluation …

… model-based approach to repair the Capture–Replay test scripts that are broken due to such
changes. Our approach repairs the test … We also evaluate the usefulness of the repaired test …

… An execution of an abstract test case corresponds to replaying the path represented in the …
BeamNG.tech driving simulator 7 is used to evaluate generated roads. The purpose is to find …

… 6.4 Recording Performance for CSP We evaluate the recording overhead for the CSP
model based on adapted Savina benchmarks. While programs designed for CSP may take …

… We also assess downstream offline RL performance using the synthetic data with two …
Model-Based Reinforcement Learning. We note the parallels between our work and model-based …

… , our aim is to assess the capability of a tool to test real-world … API traffic: they fuzz and
replay new traffic in order to find … a model-based approach for black-box automatic test case …

… scripting or capture and replay of tester’s interactions. These model-based techniques
mostly … Yet, one can elect our approach for the identification of faults in Reliability evaluation. …

… , the software architecture, and the hosted applications. The authors of [11] propose a
performance model based on queueing theory to evaluate SDN-enabled switches. The evaluation …

… In the first category, as a first contribution, we provide model-based performance testing, …
evaluate the implemented solutions by conducting several controlled experiments. We compare …