128 results on '"Le Traon, Yves"'
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2. Dynamic maintenance scheduling approach under uncertainty: Comparison between reinforcement learning, genetic algorithm simheuristic, dispatching rules
3. CalcGraph: taming the high costs of deep learning using models
4. A convex multi-objective distributionally robust optimization for embedded electricity and natural gas distribution networks under smart electric vehicle fleets
5. DRE: density-based data selection with entropy for adversarial-robust deep learning models
6. Distributionally robust unit commitment in integrated multi-energy systems with coordinated electric vehicle fleets
7. Decision support system for blockchain (DLT) platform selection based on ITU recommendations: A systematic literature review approach
8. Smells in system user interactive tests
9. Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines
10. Learning from what we know: How to perform vulnerability prediction using noisy historical data
11. SSPCatcher: Learning to catch security patches
12. Test Input Prioritization for 3D Point Clouds.
13. Test Optimization in DNN Testing: A Survey.
14. FixMiner: Mining relevant fix patterns for automated program repair
15. Selecting fault revealing mutants
16. GreyCat: Efficient what-if analytics for data in motion at scale
17. KAPE: kNN-based Performance Testing for Deep Code Search.
18. LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing.
19. GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks.
20. A training-resistant anomaly detection system
21. Comparison of metadata quality in open data portals using the Analytic Hierarchy Process
22. The next evolution of MDE: a seamless integration of machine learning into domain modeling
23. Efficiently computing the likelihoods of cyclically interdependent risk scenarios
24. A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications
25. How effective are mutation testing tools? An empirical analysis of Java mutation testing tools with manual analysis and real faults
26. Cloud providers viability: How to address it from an IT and legal perspective?
27. Similarity testing for access control
28. Model-based testing of global properties on large-scale distributed systems
29. Empirical assessment of machine learning-based malware detectors for Android: Measuring the gap between in-the-lab and in-the-wild validation scenarios
30. Conviviality-driven access control policy
31. Usage and testability of AOP: An empirical study of AspectJ
32. Mutation Testing in Evolving Systems: Studying the Relevance of Mutants to Code Evolution.
33. Roundtable: Research Opportunities and Challenges for Emerging Software Systems
34. Fault tolerance and metamorphic relation prediction.
35. Unsafe code detection in Rust and metamorphic testing of autonomous driving systems.
36. A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty.
37. Pairwise testing for software product lines: comparison of two approaches
38. Testing peer-to-peer systems
39. Design by Contract to improve software vigilance
40. Investigating fault injection techniques in hardware‐based deep neural networks and mutation‐based fault localization.
41. Test code evolution and mutation testing.
42. From diagnosis to diagnosability: axiomatization, measurement, and application
43. What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning.
44. Bud hunting with directed fuzz testing and source code vulnerability detection with advanced graph neural networks.
45. Test case prioritization and mutation testing.
46. Killing Stubborn Mutants with Symbolic Execution.
47. Test Selection for Deep Learning Systems.
48. Model‐based testing, test case prioritization and testing of virtual reality applications.
49. In vivo testing and integration of proving and testing.
50. Deep neural network supervision and data flow testing.
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