A5102586041- Software System Performance and Reliability
- Software Testing and Debugging Techniques
- Software Engineering Research
- Rough Sets and Fuzzy Logic
- Data-Driven Disease Surveillance
- Multi-Criteria Decision Making
- Data Management and Algorithms
- Advanced Statistical Methods and Models
- Spreadsheets and End-User Computing
- Quantum Computing Algorithms and Architecture
- Anomaly Detection Techniques and Applications
- Scientific Computing and Data Management
Northwest University
2023-2024
Dongguan University of Technology
2009
Hanshan Normal University
2005
Random test case generation, or fuzzing, is a viable means for uncovering compiler bugs. Unfortunately, fuzzing can be time-consuming and inefficient with purely randomly generated cases due to the complexity of modern compilers. We present COMFUZZ, focused framework. COMFUZZ aims improve efficiency by focusing on testing components language features that are likely trigger Our key insight human developers tend make common repeat errors across implementations; hence, we leverage previously...
Outlier detection targets those exceptional data whose pattern is rare and lie in low density regions. In this paper, under the assumption of complete spatial randomness inside clusters, we propose an MDV (Multi-scale Deviation Volume) approach to identifying outliers. addition assigning outlier score for each object, it directly outputs a crisp set. It also offers plot showing structure every object's vicinity, which useful explaining why may be outlying. Finally, effectiveness demonstrated...
Ranking has been widely used in many applications. A ranking scheme usually employs a scoring rule that assigns final numerical value to every object be ranked. normally involves the use of one scores, and it gives more weight scores are important. In this paper, we give can combine weights into natural way compare our formula given by Fagin. Also some additional properties desirable for weighted rules. Finally, discuss other interesting issues on