Junjie Wang

Orcid: 0000-0002-9941-6713

Affiliations:
  • Chinese Academy of Sciences, Laboratory for Internet Software Technologies, Institute of Software, Beijing, China


According to our database1, Junjie Wang authored at least 70 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks.
ACM Trans. Softw. Eng. Methodol., February, 2024

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing.
IEEE Trans. Reliab., September, 2023

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding.
IEEE Trans. Software Eng., 2023

A Survey on Query-based API Recommendation.
CoRR, 2023

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation.
CoRR, 2023

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?
CoRR, 2023

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge.
CoRR, 2023

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning.
CoRR, 2023

Identifying Emergent Leadership in Open Source Software Projects Based on Communication Styles.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Fuzzing with Sequence Diversity Inference for Sequential Decision-making Model Testing.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?
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.
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.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Context-aware Bug Reproduction for Mobile Apps.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Cross-Domain Requirements Linking via Adversarial-based Domain Adaptation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

What are Pros and Cons? Stance Detection and Summarization on Feature Request.
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.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
Context-Aware Personalized Crowdtesting Task Recommendation.
IEEE Trans. Software Eng., 2022

Context- and Fairness-Aware In-Process Crowdworker Recommendation.
ACM Trans. Softw. Eng. Methodol., 2022

Automated data function extraction from textual requirements by leveraging semi-supervised CRF and language model.
Inf. Softw. Technol., 2022

Yet another combination of IR- and neural-based comment generation.
Inf. Softw. Technol., 2022

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.
CoRR, 2022

Identifying Emergent Leadership in OSS Projects Based on Communication Styles.
CoRR, 2022

API recommendation for machine learning libraries: how far are we?
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.
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.
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.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Find bugs in static bug finders.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

CLEAR: Contrastive Learning for API Recommendation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Where is Your App Frustrating Users?
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves.
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.
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.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Intelligent Crowdsourced Testing
Springer, ISBN: 978-981-16-9642-8, 2022

2021
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing.
IEEE Trans. Software Eng., 2021

Understanding static code warnings: An incremental AI approach.
Expert Syst. Appl., 2021

Explainable Software Defect Prediction: Are We There Yet?
CoRR, 2021

OwlEyes-online: a fully automated platform for detecting and localizing UI display issues.
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?
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

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

Characterizing and Predicting Good First Issues.
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.
ACM Trans. Softw. Eng. Methodol., 2020

Artificial Intelligence-Powered Worker Engagement in Software Crowdsourcing.
IEEE Softw., 2020

An extensive study of class-level and method-level test case selection for continuous integration.
J. Syst. Softw., 2020

Is There A "Golden" Rule for Code Reviewer Recommendation? : - An Experimental Evaluation.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Owl Eyes: Spotting UI Display Issues via Visual Understanding.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Context-aware in-process crowdworker recommendation.
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.
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.
Inf. Softw. Technol., 2019

An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning).
CoRR, 2019

A Class-level Test Selection Approach Toward Full Coverage For Continuous Integration.
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.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

iSENSE: completion-aware crowdtesting management.
Proceedings of the 41st International Conference on Software Engineering, 2019

Enhancing Unsupervised Requirements Traceability with Sequential Semantics.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018
Crowdtesting : When is The Party Over?
CoRR, 2018

Cutting Away the Confusion From Crowdtesting.
CoRR, 2018

Effective Automated Decision Support for Managing Crowdtesting.
CoRR, 2018

Is there a "golden" feature set for static warning identification?: an experimental evaluation.
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

2017
Multi-Objective Crowd Worker Selection in Crowdsourced Testing.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Domain Adaptation for Test Report Classification in Crowdsourced Testing.
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?
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.
Requir. Eng., 2016

Stage-oriented Analysis on Factors Impacting Bug Fixing Time.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Local-based active classification of test report to assist crowdsourced testing.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Towards Effectively Test Report Classification to Assist Crowdsourced Testing.
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?
Proceedings of the 21st IEEE International Requirements Engineering Conference, 2013

2012
A Simulation Approach for Impact Analysis of Requirement Volatility Considering Dependency Change.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2012


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