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RONGXIN WU
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Name
Affiliation
Papers
RONGXIN WU
School of Software, Tsinghua University, Beijing 100084, China
31
Collaborators
Citations
PageRank
59
528
19.69
Referers
Referees
References
1103
888
504
Search Limit
100
1000
Publications (31 rows)
Collaborators (59 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Automatic Detection and Update Suggestion for Outdated API Names in Documentation
2
0.38
2021
Transcode: Detecting Status Code Mapping Errors in Large-Scale Systems
0
0.34
2021
Fuzzing SMT Solvers via Two-Dimensional Input Space Exploration
0
0.34
2021
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting
2
0.36
2021
Historical Spectrum Based Fault Localization
5
0.39
2021
Targeting Requirements Violations of Autonomous Driving Systems by Dynamic Evolutionary Search
1
0.35
2021
Skeletal approximation enumeration for SMT solver testing
0
0.34
2021
Path-sensitive sparse analysis without path conditions
2
0.36
2021
Understanding and Facilitating the Co-Evolution of Production and Test Code
0
0.34
2021
How Well Do Change Sequences Predict Defects? Sequence Learning from Software Changes
2
0.35
2020
Conquering the extensional scalability problem for value-flow analysis frameworks
1
0.35
2020
Escaping Dependency Hell: Finding Build Dependency Errors with the Unified Dependency Graph
0
0.34
2020
Pangolin: Incremental Hybrid Fuzzing With Polyhedral Path Abstraction
1
0.35
2020
Could I have a stack trace to examine the dependency conflict issue?
0
0.34
2019
Exposing library API misuses via mutation analysis
3
0.37
2019
Smoke: scalable path-sensitive memory leak detection for millions of lines of code
5
0.40
2019
Exploring and exploiting the correlations between bug-inducing and bug-fixing commits.
5
0.40
2019
Context-aware patch generation for better automated program repair.
36
0.67
2018
Pinpoint: fast and precise sparse value flow analysis for million lines of code.
9
0.49
2018
Do the dependency conflicts in my project matter?
9
0.45
2018
ChangeLocator: locate crash-inducing changes based on crash reports
3
0.38
2018
An Empirical Analysis of the Influence of Fault Space on Search-Based Automated Program Repair.
0
0.34
2017
Locus: locating bugs from software changes.
38
0.79
2016
Casper: an efficient approach to call trace collection.
5
0.38
2016
Diagnose crashing faults on production software
3
0.46
2014
CrashLocator: locating crashing faults based on crash stacks
43
0.95
2014
Sample-based software defect prediction with active and semi-supervised learning
55
1.22
2012
ReBucket: a method for clustering duplicate crash reports based on call stack similarity
56
1.95
2012
ReLink: recovering links between bugs and changes
141
2.94
2011
Dealing with noise in defect prediction
98
2.11
2011
Sampling program quality
3
0.47
2010
1
