Junjie Wang

According to our database, Junjie Wang authored at least 95 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning.

Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming (Jack) Jiang, Nachiappan Nagappan

ACM Comput. Surv., March, 2025

2024

Software Testing With Large Language Models: Survey, Landscape, and Vision.

Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang

IEEE Trans. Software Eng., April, 2024

The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks.

Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang

ACM Trans. Softw. Eng. Methodol., February, 2024

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning.

Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Jun Hu, Qing Wang, Fanjiang Xu

CoRR, 2024

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection.

Haowei Wang, Rupeng Zhang, Junjie Wang, Mingyang Li, Yuekai Huang, Dandan Wang, Qing Wang

CoRR, 2024

CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification.

Fangwen Mu, Junjie Wang, Zhuohao Yu, Lin Shi, Song Wang, Mingyang Li, Qing Wang

CoRR, 2024

Checker Bug Detection and Repair in Deep Learning Libraries.

Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan

CoRR, 2024

Vision-driven Automated Mobile GUI Testing via Multimodal Large Language Model.

Zhe Liu, Cheng Li, Chunyang Chen, Junjie Wang, Boyu Wu, Yawen Wang, Jun Hu, Qing Wang

CoRR, 2024

Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement.

Zhiyuan Chang, Mingyang Li, Junjie Wang, Yi Liu, Qing Wang, Yang Liu

CoRR, 2024

Large Language Models for Mobile GUI Text Input Generation: An Empirical Study.

Chenhui Cui, Tao Li, Junjie Wang, Chunyang Chen, Dave Towey, Rubing Huang

CoRR, 2024

Adversarial Testing for Visual Grounding via Image-Aware Property Reduction.

Zhiyuan Chang, Mingyang Li, Junjie Wang, Cheng Li, Boyu Wu, Fanjiang Xu, Qing Wang

CoRR, 2024

Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing.

Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang

CoRR, 2024

Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues.

Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang, Yang Liu

CoRR, 2024

Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions.

Yuekai Huang, Junjie Wang, Song Wang, Rupeng Zhang, Qing Wang

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive Development.

Lei Liao, Junjie Wang, Zhensheng Xu, Fangwen Mu, Yukun Yang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Enhancing Multi-agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation.

Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie, Boyu Wu, Shoubin Li, Fanjiang Xu, Qing Wang

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion.

Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Demystifying and Detecting Misuses of Deep Learning APIs.

Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace.

Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model.

Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Zhilin Tian, Yuekai Huang, Jun Hu, Qing Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions.

Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, Qing Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM.

Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Yuekai Huang, Jun Hu, Qing Wang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation.

Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming (Jack) Jiang

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024

2023

CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing.

Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang

IEEE Trans. Reliab., September, 2023

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding.

Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang

IEEE Trans. Software Eng., 2023

A Survey on Query-based API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang

CoRR, 2023

Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model.

Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, Qing Wang

CoRR, 2023

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation.

Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang

CoRR, 2023

Software Testing with Large Language Model: Survey, Landscape, and Vision.

Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang

CoRR, 2023

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

CoRR, 2023

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge.

Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang

CoRR, 2023

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning.

Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan

CoRR, 2023

Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing.

Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, Qing Wang

CoRR, 2023

Identifying Emergent Leadership in Open Source Software Projects Based on Communication Styles.

Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang

Proceedings of the IEEE International Conference on Software Analysis, 2023

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Fuzzing with Sequence Diversity Inference for Sequential Decision-making Model Testing.

Kairui Wang, Yawen Wang, Junjie Wang, Qing Wang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network.

Zhe Liu, Chunyang Chen, Junjie Wang, Yuhui Su, Yuekai Huang, Jun Hu, Qing Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing.

Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Context-aware Bug Reproduction for Mobile Apps.

Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Cross-Domain Requirements Linking via Adversarial-based Domain Adaptation.

Zhiyuan Chang, Mingyang Li, Qing Wang, Shoubin Li, Junjie Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

What are Pros and Cons? Stance Detection and Summarization on Feature Request.

Yawen Wang, Junjie Wang, Hongyu Zhang, Kairui Wang, Qing Wang

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

An Empirical Study on the Stability of Explainable Software Defect Prediction.

Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

Context-Aware Personalized Crowdtesting Task Recommendation.

Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, Qing Wang

IEEE Trans. Software Eng., 2022

Context- and Fairness-Aware In-Process Crowdworker Recommendation.

Junjie Wang, Ye Yang, Song Wang, Jun Hu, Qing Wang

ACM Trans. Softw. Eng. Methodol., 2022

Automated data function extraction from textual requirements by leveraging semi-supervised CRF and language model.

Mingyang Li, Lin Shi, Yawen Wang, Junjie Wang, Qing Wang, Jun Hu, Xinhua Peng, Weimin Liao, Guizhen Pi

Inf. Softw. Technol., 2022

Yet another combination of IR- and neural-based comment generation.

Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang

Inf. Softw. Technol., 2022

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang

CoRR, 2022

Identifying Emergent Leadership in OSS Projects Based on Communication Styles.

Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang

CoRR, 2022

API recommendation for machine learning libraries: how far are we?

Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Putting them under microscope: a fine-grained approach for detecting redundant test cases in natural language.

Zhiyuan Chang, Mingyang Li, Junjie Wang, Qing Wang, Shoubin Li

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Are we building on the rock? on the importance of data preprocessing for code summarization.

Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps.

Yuhui Su, Chunyang Chen, Junjie Wang, Zhe Liu, Dandan Wang, Shoubin Li, Qing Wang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Find bugs in static bug finders.

Junjie Wang, Yuchao Huang, Song Wang, Qing Wang

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

CLEAR: Contrastive Learning for API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Where is Your App Frustrating Users?

Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves.

Zhe Liu, Chunyang Chen, Junjie Wang, Yuhui Su, Qing Wang

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning.

Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang

Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves.

Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Intelligent Crowdsourced Testing

Qing Wang, Zhenyu Chen, Junjie Wang, Yang Feng

Springer, ISBN: 978-981-16-9642-8, 2022

2021

Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing.

Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang

IEEE Trans. Software Eng., 2021

Understanding static code warnings: An incremental AI approach.

Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies

Expert Syst. Appl., 2021

Explainable Software Defect Prediction: Are We There Yet?

Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Song Wang

CoRR, 2021

OwlEyes-online: a fully automated platform for detecting and localizing UI display issues.

Yuhui Su, Zhe Liu, Chunyang Chen, Junjie Wang, Qing Wang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Accept or Not? An Empirical Study on Analyzing the Factors that Affect the Outcomes of Modern Code Review?

Dandan Wang, Qing Wang, Junjie Wang, Lin Shi

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?

Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Continuous Software Bug Prediction.

Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan

Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

Characterizing and Predicting Good First Issues.

Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, Qing Wang

Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

2020

iSENSE2.0: Improving Completion-aware Crowdtesting Management with Duplicate Tagger and Sanity Checker.

Junjie Wang, Ye Yang, Tim Menzies, Qing Wang

ACM Trans. Softw. Eng. Methodol., 2020

Artificial Intelligence-Powered Worker Engagement in Software Crowdsourcing.

Junjie Wang, Ye Yang, Qing Wang

IEEE Softw., 2020

An extensive study of class-level and method-level test case selection for continuous integration.

Yingling Li, Junjie Wang, Yun Yang, Qing Wang

J. Syst. Softw., 2020

Is There A "Golden" Rule for Code Reviewer Recommendation? : - An Experimental Evaluation.

Yuanzhe Hu, Junjie Wang, Jie Hou, Shoubin Li, Qing Wang

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Owl Eyes: Spotting UI Display Issues via Visual Understanding.

Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Context-aware in-process crowdworker recommendation.

Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection.

Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019

Images don't lie: Duplicate crowdtesting reports detection with screenshot information.

Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang

Inf. Softw. Technol., 2019

An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning).

Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies

CoRR, 2019

A Class-level Test Selection Approach Toward Full Coverage For Continuous Integration.

Yingling Li, Junjie Wang, Qing Wang, Jun Hu

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Method-Level Test Selection for Continuous Integration with Static Dependencies and Dynamic Execution Rules.

Yingling Li, Junjie Wang, Yun Yang, Qing Wang

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

iSENSE: completion-aware crowdtesting management.

Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang

Proceedings of the 41st International Conference on Software Engineering, 2019

Enhancing Unsupervised Requirements Traceability with Sequential Semantics.

Lei Chen, Dandan Wang, Junjie Wang, Qing Wang

Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018

Crowdtesting : When is The Party Over?

Junjie Wang, Ye Yang, Zhe Yu, Tim Menzies, Qing Wang

CoRR, 2018

Cutting Away the Confusion From Crowdtesting.

Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang

CoRR, 2018

Effective Automated Decision Support for Managing Crowdtesting.

Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang

CoRR, 2018

Is there a "golden" feature set for static warning identification?: an experimental evaluation.

Junjie Wang, Song Wang, Qing Wang

Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

2017

Multi-Objective Crowd Worker Selection in Crowdsourced Testing.

Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Domain Adaptation for Test Report Classification in Crowdsourced Testing.

Junjie Wang, Qiang Cui, Song Wang, Qing Wang

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017

Who Should Be Selected to Perform a Task in Crowdsourced Testing?

Qiang Cui, Junjie Wang, Guowei Yang, Miao Xie, Qing Wang, Mingshu Li

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

Analyzing and predicting software integration bugs using network analysis on requirements dependency network.

Junjie Wang, Qing Wang

Requir. Eng., 2016

Stage-oriented Analysis on Factors Impacting Bug Fixing Time.

Hong Wu, Junjie Wang, Qing Wang, Lin Shi, Feng Yuan

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Local-based active classification of test report to assist crowdsourced testing.

Junjie Wang, Song Wang, Qiang Cui, Qing Wang

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Towards Effectively Test Report Classification to Assist Crowdsourced Testing.

Junjie Wang, Qiang Cui, Qing Wang, Song Wang

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016

2013

Can requirements dependency network be used as early indicator of software integration bugs?

Junjie Wang, Juan Li, Qing Wang, Da Yang, He Zhang, Mingshu Li

Proceedings of the 21st IEEE International Requirements Engineering Conference, 2013

2012

A Simulation Approach for Impact Analysis of Requirement Volatility Considering Dependency Change.

Junjie Wang, Juan Li, Qing Wang, He Zhang, Haitao Wang

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2012

An Empirical Study of Dangerous Behaviors in Firefox Extensions.

Jiangang Wang, Xiaohong Li, Xuhui Liu, Xinshu Dong, Junjie Wang, Zhenkai Liang, Zhiyong Feng

Proceedings of the Information Security - 15th International Conference, 2012