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A Systematic Survey of Just-in-Time Software Defect Prediction

ACM computing surveys, 2023-10, Vol.55 (10), p.1-35, Article 201

2023

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Empirical review of automated analysis tools on 47,587 Ethereum smart contracts

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.530-541

2020

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Precise Condition Synthesis for Program Repair

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017, p.416-426

2017

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Evaluating and Improving Fault Localization

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017, p.609-620

2017

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On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.615-627

2020

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SMARTIAN: enhancing smart contract fuzzing with static and dynamic data-flow analyses

2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021, p.227-239

2021

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RobOT: Robustness-Oriented Testing for Deep Learning Systems

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.300-311

2021

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Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.397-409

2021

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Fault Localization with Code Coverage Representation Learning

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.661-673

2021

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DeepLocalize: Fault Localization for Deep Neural Networks

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.251-262

2021

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DeepTest: automated testing of deep-neural-network-driven autonomous cars

2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), 2018, p.303-314

2018

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An Empirical Study on Mutation, Statement and Branch Coverage Fault Revelation That Avoids the Unreliable Clean Program Assumption

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017, p.597-608

2017

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An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.674-685

2021

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ContractFuzzer: fuzzing smart contracts for vulnerability detection

2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018, p.259-269

2018

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DeepGauge: multi-granularity testing criteria for deep learning systems

2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018, p.120-131

2018

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AutoTrainer: An Automatic DNN Training Problem Detection and Repair System

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.359-371

2021

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SmartBugs: a framework to analyze solidity smart contracts

2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020, p.1349-1352

2020

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Automatic Web Testing Using Curiosity-Driven Reinforcement Learning

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.423-435

2021

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Concolic testing for deep neural networks

2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018, p.109-119

2018

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Context-aware patch generation for better automated program repair

2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), 2018, p.1-11

2018

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Reducing Combinatorics in GUI Testing of Android Applications

2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE), 2016, p.559-570

2016

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A Comparison of 10 Sampling Algorithms for Configurable Systems

2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE), 2016, p.643-654

2016

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Restoring Execution Environments of Jupyter Notebooks

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.1622-1633

2021

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DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.1461-1472

2021

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Testing vision-based control systems using learnable evolutionary algorithms

2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), 2018, p.1016-1026

2018

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A Systematic Survey of Just-in-Time Software Defect Prediction

Empirical review of automated analysis tools on 47,587 Ethereum smart contracts

Precise Condition Synthesis for Program Repair

Evaluating and Improving Fault Localization

On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs

SMARTIAN: enhancing smart contract fuzzing with static and dynamic data-flow analyses

RobOT: Robustness-Oriented Testing for Deep Learning Systems

Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis

Fault Localization with Code Coverage Representation Learning

DeepLocalize: Fault Localization for Deep Neural Networks

DeepTest: automated testing of deep-neural-network-driven autonomous cars

An Empirical Study on Mutation, Statement and Branch Coverage Fault Revelation That Avoids the Unreliable Clean Program Assumption

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

ContractFuzzer: fuzzing smart contracts for vulnerability detection

DeepGauge: multi-granularity testing criteria for deep learning systems

AutoTrainer: An Automatic DNN Training Problem Detection and Repair System

SmartBugs: a framework to analyze solidity smart contracts

Automatic Web Testing Using Curiosity-Driven Reinforcement Learning

Concolic testing for deep neural networks

Context-aware patch generation for better automated program repair

Reducing Combinatorics in GUI Testing of Android Applications

A Comparison of 10 Sampling Algorithms for Configurable Systems

Restoring Execution Environments of Jupyter Notebooks

DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks

Testing vision-based control systems using learnable evolutionary algorithms

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