most citedSolving QBF with Counterexample Guided Refinement

150 citations

5 papers

cs.LO2026150 cited

Solving QBF with Counterexample Guided Refinement

Mikoláš Janota, William Klieber, Joao Marques-Silva +1

We propose two novel approaches for using Counterexample-Guided Abstraction Refinement (CEGAR) in Quantified Boolean Formula (QBF) solvers. The first approach develops a recursive…

cs.LO202660 cited

Solving QBF by Clause Selection

Mikoláš Janota, Joao Marques-Silva

Algorithms based on the enumeration of implicit hitting sets find a growing number of applications, which include maximum satisfiability and model based diagnosis, among others. Th…

cs.SD2026

Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset

Eoin Cummins, Zhongyi Huang, Alexandre D'Hooge +3

Existing audio-to-score (A2S) systems primarily focus on classical music, and the application to popular music remains underexplored. This paper first presents the new SheetSage-A2…

cs.SE202610 cited

Improving Mobile User Interface Testing with Model Driven Monkey Search

Jordan Doyle, Takfarinas Saber, Paolo Arcaini +1

Testing mobile applications often relies on tools, such as Exerciser Monkey for Android systems, that simulate user input. Exerciser Monkey, for example, generates random events (e…

cs.SE20262 cited

Modelling Android applications through static analysis and systematic exploratory testing

Jordan Doyle, Thomas Laurent, Anthony Ventresque

Mobile application development is a fast paced industry with frequent releases. While the development pace increases, so too does the need for automated test generation. Model-base…