Yang Feng

Orcid: 0000-0002-7477-3642

Affiliations:
  • Nanjing University, Nanjing, China
  • University of California, Irvine, CA, USA


According to our database1, Yang Feng authored at least 85 papers between 2011 and 2024.

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Bibliography

2024
Seeing the invisible: test prioritization for object detection system.
Empir. Softw. Eng., November, 2024

The future of API analytics.
Autom. Softw. Eng., November, 2024

Enumerating Valid Non-Alpha-Equivalent Programs for Interpreter Testing.
ACM Trans. Softw. Eng. Methodol., June, 2024

Automatic recognizing relevant fragments of APIs using API references.
Autom. Softw. Eng., June, 2024

Do we need high-order mutation in fault-based Boolean-specification testing?
J. Syst. Softw., April, 2024

Characterizing Developers' Linguistic Behaviors in Open Source Development across Their Social Statuses.
Proc. ACM Hum. Comput. Interact., 2024

Towards assessing the quality of knowledge graphs via differential testing.
Inf. Softw. Technol., 2024

Towards Fixing Panic Bugs for Real-world Rust Programs.
CoRR, 2024

MoCo: Fuzzing Deep Learning Libraries via Assembling Code.
CoRR, 2024

Beyond Memory Safety: an Empirical Study on Bugs and Fixes of Rust Programs.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

FRIES: Fuzzing Rust Library Interactions via Efficient Ecosystem-Guided Target Generation.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Datactive: Data Fault Localization for Object Detection Systems.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Mining Fix Patterns for System Interaction Bugs.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

ObjTest: Object-Level Mutation for Testing Object Detection Systems.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Are duplicates really harmful? An empirical study on bug report summarization techniques.
J. Softw. Evol. Process., November, 2023

Crowdsourced test case generation for android applications via static program analysis.
Autom. Softw. Eng., November, 2023

Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries.
ACM Trans. Softw. Eng. Methodol., September, 2023

Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities.
Dataset, August, 2023

Cross-status communication and project outcomes in OSS development.
Empir. Softw. Eng., June, 2023

Towards understanding bugs in Python interpreters.
Empir. Softw. Eng., 2023

MoD2T: Model-Data-Driven Motion-Static Object Tracking Method.
CoRR, 2023

NLPLego: Assembling Test Generation for Natural Language Processing Applications.
CoRR, 2023

Understanding the Impact of Quantum Noise on Quantum Programs.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Dynamic Data Fault Localization for Deep Neural Networks.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Understanding Bugs in Rust Compilers.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Human-Machine Collaborative Testing for Android Applications.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Practical Accuracy Evaluation for Deep Learning Systems via Latent Representation Discrepancy.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

DLInfer: Deep Learning with Static Slicing for Python Type Inference.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

An Analysis of the Rust Programming Practice for Memory Safety Assurance.
Proceedings of the Web Information Systems and Applications, 2023

2022
Clustering Crowdsourced Test Reports of Mobile Applications Using Image Understanding.
IEEE Trans. Software Eng., 2022

Classifying crowdsourced mobile test reports with image features: An empirical study.
J. Syst. Softw., 2022

A comprehensive empirical study on bug characteristics of deep learning frameworks.
Inf. Softw. Technol., 2022

Mining Python fix patterns via analyzing fine-grained source code changes.
Empir. Softw. Eng., 2022

QATest: A Uniform Fuzzing Framework for Question Answering Systems.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

ASRTest: automated testing for deep-neural-network-driven speech recognition systems.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

LiRTest: augmenting LiDAR point clouds for automated testing of autonomous driving systems.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

DeepState: Selecting Test Suites to Enhance the Robustness of Recurrent Neural Networks.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Adaptive Test Selection for Deep Neural Networks.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

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

2021
Smart Contract Development: Challenges and Opportunities.
IEEE Trans. Software Eng., 2021

Cross-status Communication and Project Outcomesin OSS Development A Language Style Matching Perspective.
CoRR, 2021

Automated Testing for Machine Translation via Constituency Invariance.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

DialTest: automated testing for recurrent-neural-network-driven dialogue systems.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

The Necessity of Low-code Engineering for Industrial Software Development: A Case Study and Reflections.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

PyART: Python API Recommendation in Real-Time.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

2020
How Practitioners Perceive Automated Bug Report Management Techniques.
IEEE Trans. Software Eng., 2020

Improving Fault-Localization Accuracy by Referencing Debugging History to Alleviate Structure Bias in Code Suspiciousness.
IEEE Trans. Reliab., 2020

Unveiling Elite Developers' Activities in Open Source Projects.
ACM Trans. Softw. Eng. Methodol., 2020

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.
CoRR, 2020

Quality assessment of crowdsourced test cases.
Sci. China Inf. Sci., 2020

Test recommendation system based on slicing coverage filtering.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

DeepGini: prioritizing massive tests to enhance the robustness of deep neural networks.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Elite developers' activities at open source ecosystem level.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Impact analysis of cross-project bugs on software ecosystems.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

A comprehensive study of autonomous vehicle bugs.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Leveraging the Power of Crowds: Automated Test Report Processing for The Maintenance of Mobile Applications.
PhD thesis, 2019

Successes, challenges, and rethinking - an industrial investigation on crowdsourced mobile application testing.
Empir. Softw. Eng., 2019

Software Engineering Practice in the Development of Deep Learning Applications.
CoRR, 2019

DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost.
CoRR, 2019

NeuralVis: Visualizing and Interpreting Deep Learning Models.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

CTRAS: a tool for aggregating and summarizing crowdsourced test reports.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

CTRAS: crowdsourced test report aggregation and summarization.
Proceedings of the 41st International Conference on Software Engineering, 2019

Multi-Winner Contests for Strategic Diffusion in Social Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Generating descriptions for screenshots to assist crowdsourced testing.
Proceedings of the 25th International Conference on Software Analysis, 2018

An Empirical Study of the Impact of Code Smell on File Changes.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

Hierarchical abstraction of execution traces for program comprehension.
Proceedings of the 26th Conference on Program Comprehension, 2018

An Empirical Study on Software Failure Classification with Multi-label and Problem-Transformation Techniques.
Proceedings of the 11th IEEE International Conference on Software Testing, 2018

2017
Predicate Interpretation Analysis Based on Soot.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Fault Interference and Coupling Effect.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

2016
Measuring the Diversity of a Test Set With Distance Entropy.
IEEE Trans. Reliab., 2016

Mubug: a mobile service for rapid bug tracking.
Sci. China Inf. Sci., 2016

Multi-objective test report prioritization using image understanding.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

2015
Test report prioritization to assist crowdsourced testing.
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

2014
Bug Inducing Analysis to Prevent Fault Prone Bug Fixes.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

Towards more accurate multi-label software behavior learning.
Proceedings of the 2014 Software Evolution Week, 2014

2013
Mining Sequential Patterns of Predicates for Fault Localization and Understanding.
Proceedings of the IEEE 7th International Conference on Software Security and Reliability, 2013

An empirical study on clustering for isolating bugs in fault localization.
Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013

2012
Using Weighted Attributes to Improve Cluster Test Selection.
Proceedings of the Sixth International Conference on Software Security and Reliability, 2012

Multi-label software behavior learning.
Proceedings of the 34th International Conference on Software Engineering, 2012

2011
Using semi-supervised clustering to improve regression test selection techniques.
Proceedings of the Fourth IEEE International Conference on Software Testing, 2011


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