junjiechen@tju.edu.cn
未公开
长聘副教授
面向智能网联汽车仿真测试的驾驶场景数据管理平台研发
基于机器学习的编译器测试加速方法

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一种面向软件升级的软件测试方法
通过对历史缺陷进行机器学习，以加速编译器测试的技术

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通过搜索的技术，自动推导蜕变关系，以提升回归测试的效果。
A Survey of Compiler Testing

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Practical Accuracy Estimation for Efficient Deep Neural Network Testing

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Coverage Prediction for Accelerating Compiler Testing

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Deep Learning Library Testing via Effective Model Generation

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Real-time Incident Prediction for Online Service Systems

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Understanding and Handling Alert Storm for Online Service Systems

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History-Guided Configuration Diversification for Compiler Test-Program Generation

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Continuous Incident Triage for Large-Scale Online Service Systems

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Compiler Bug Isolation via Effective Witness Test Program Generation

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An Empirical Investigation of Incident Triage for Online Service Systems

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Optimizing Test Prioritization via Test Distribution Analysis

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Learning to Prioritize Test Programs for Compiler Testing

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Supporting Oracle Construction via Static Analysis

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An Empirical Comparison of Compiler Testing Techniques

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一种静态的编译器重复缺陷报告识别方法

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Root-Cause Metric Location for Microservice Systems via Log Anomaly Detection

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Learning to Accelerate Symbolic Execution via Code Transformation

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Test Case Prioritization for Compilers: A Text-Vector based Approach

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How Do Assertions Impact Coverage-based Test-Suite Reduction?

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Learning to Accelerate Compiler Testing

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Historical Spectrum based Fault Localization

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History-driven Build Failure Fixing: How Far Are We?

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Context-Aware Patch Generation for Better Automated Program Repair

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A Survey on Regression Test-case Prioritization

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Search-based Inference of Polynomial Metamorphic Relations

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Automatic Discovery and Cleansing of Numerical Metamorphic Relations