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ORCIDSong Wang 0009
Person information
- affiliation: York University, Toronto, ON, Canada
- affiliation (PhD 2018): University of Waterloo, Canada
Other persons with the same name
- Song Wang — disambiguation page
- Song Wang 0001 — Hewlett-Packard Laboratories, Palo Alto, CA, USA (and 1 more)
- Song Wang 0002
![[0000-0003-4152-5295]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4152-5295")
— University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA (and 1 more) - Song Wang 0003 — La Trobe University, School of Engineering and Mathematical Sciences, VIC, Australia (and 1 more)
- Song Wang 0004 — Curtin University, Department of Mathematics and Statistics, Perth, Australia (and 2 more)
- Song Wang 0005 — McGill University, Schulich School of Music, Montreal, QC, Canada (and 1 more)
- Song Wang 0006 — Beijing University of Posts and Telecommunications, Automation College, China
- Song Wang 0007 — Fujitsu R&D Center, Beijing, China
- Song Wang 0008 — Zhengzhou University, School of Information Engineering, China
- Song Wang 0010 — Southwest University of Science and Technology, School of Computer Science and Technology, Mianyang, China
- Song Wang 0011 — Wuhan University, School of Computer Science, National Engineering Research Center for Multimedia Software, China
- Song Wang 0012 — Microsoft Azure
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2020 – today
- 2024
[j15]Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang:
ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification. Proc. ACM Softw. Eng. 1(FSE): 2332-2354 (2024)- [j14]Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang:
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. ACM Trans. Softw. Eng. Methodol. 33(2): 51:1-51:24 (2024) - [j13]Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang:
Software Testing With Large Language Models: Survey, Landscape, and Vision. IEEE Trans. Software Eng. 50(4): 911-936 (2024) - [j12]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. IEEE Trans. Software Eng. 50(9): 2337-2349 (2024) - [c39]Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang:
Effectiveness of ChatGPT for Static Analysis: How Far Are We? AIware 2024 - [c38]Kimya Khakzad Shahandashti, Mithila Sivakumar, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Timothy Lethbridge:
Assessing the Impact of GPT-4 Turbo in Generating Defeaters for Assurance Cases. FORGE 2024: 52-56 - [c37]Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang:
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. ICSE 2024: 18:1-18:13 - [c36]Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang:
Demystifying and Detecting Misuses of Deep Learning APIs. ICSE 2024: 201:1-201:12 - [c35]Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati, Song Wang:
Domain Adaptation for Code Model-Based Unit Test Case Generation. ISSTA 2024: 1211-1222 - [c34]Kimya Khakzad Shahandashti, Alvine Boaye Belle, Mohammad Mahdi Mohajer, Oluwafemi Odu, Timothy C. Lethbridge, Hadi Hemmati, Song Wang:
Using GPT-4 Turbo to Automatically Identify Defeaters in Assurance Cases. RE Workshops 2024: 46-56 - [i30]Mithila Sivakumar, Alvine Boaye Belle, Kimya Khakzad Shahandashti, Oluwafemi Odu, Hadi Hemmati, Segla Kpodjedo, Song Wang, Opeyemi O. Adesina:
I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems. CoRR abs/2401.16633 (2024) - [i29]Kimya Khakzad Shahandashti, Mithila Sivakumar, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Timothy C. Lethbridge:
Evaluating the Effectiveness of GPT-4 Turbo in Creating Defeaters for Assurance Cases. CoRR abs/2401.17991 (2024) - [i28]Oluwafemi Odu, Alvine Boaye Belle, Song Wang, Kimya Khakzad Shahandashti:
A PRISMA-Driven Bibliometric Analysis of the Scientific Literature on Assurance Case Patterns. CoRR abs/2407.04961 (2024) - [i27]Hamed Taherkhani, Melika Sepindband, Hung Viet Pham, Song Wang, Hadi Hemmati:
EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation. CoRR abs/2408.11198 (2024) - 2023
- [j11]Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang, Ye Yang:
SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning. IEEE Trans. Reliab. 72(1): 61-78 (2023) - [j10]Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang:
CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab. 72(3): 1276-1289 (2023) - [c33]Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang:
An Empirical Study on the Stability of Explainable Software Defect Prediction. APSEC 2023: 141-150 - [c32]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Developer-Intent Driven Code Comment Generation. ICSE 2023: 768-780 - [c31]Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang:
Context-aware Bug Reproduction for Mobile Apps. ICSE 2023: 2336-2348 - [c30]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE 2023: 795-806 - [c29]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR 2023: 27-38 - [i26]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Developer-Intent Driven Code Comment Generation. CoRR abs/2302.07055 (2023) - [i25]Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang:
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. CoRR abs/2305.09082 (2023) - [i24]Nima Shiri Harzevili, Hung Viet Pham, Song Wang:
Security Knowledge-Guided Fuzzing of Deep Learning Libraries. CoRR abs/2306.03269 (2023) - [i23]Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR abs/2306.11673 (2023) - [i22]Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang:
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. CoRR abs/2307.00404 (2023) - [i21]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? CoRR abs/2307.04080 (2023) - [i20]Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang:
Software Testing with Large Language Model: Survey, Landscape, and Vision. CoRR abs/2307.07221 (2023) - [i19]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang:
A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. CoRR abs/2307.11298 (2023) - [i18]Sepehr Hashtroudi, Jiho Shin, Hadi Hemmati, Song Wang:
Automated Test Case Generation Using Code Models and Domain Adaptation. CoRR abs/2308.08033 (2023) - [i17]Nima Shiri Harzevili, Hung Viet Pham, Song Wang:
Benchmarking Deep Learning Fuzzers. CoRR abs/2310.06912 (2023) - [i16]Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang:
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. CoRR abs/2310.07128 (2023) - [i15]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. CoRR abs/2310.07856 (2023) - [i14]Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati:
Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks. CoRR abs/2310.10508 (2023) - [i13]Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang:
ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification. CoRR abs/2310.10996 (2023) - [i12]Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang:
SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. CoRR abs/2310.18532 (2023) - [i11]Mithila Sivakumar, Alvine Boaye Belle, Jinjun Shan, Opeyemi Adesina, Song Wang, Marsha Chechik, Marios Fokaefs, Kimya Khakzad Shahandashti, Oluwafemi Odu:
The Last Decade in Review: Tracing the Evolution of Safety Assurance Cases through a Comprehensive Bibliometric Analysis. CoRR abs/2311.07495 (2023) - [i10]Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang:
A Survey on Query-based API Recommendation. CoRR abs/2312.10623 (2023) - 2022
- [j9]Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet another combination of IR- and neural-based comment generation. Inf. Softw. Technol. 152: 107001 (2022) - [j8]Junjie Wang, Ye Yang, Song Wang, Jun Hu, Qing Wang:
Context- and Fairness-Aware In-Process Crowdworker Recommendation. ACM Trans. Softw. Eng. Methodol. 31(3): 35:1-35:31 (2022) - [j7]Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, Qing Wang:
Context-Aware Personalized Crowdtesting Task Recommendation. IEEE Trans. Software Eng. 48(8): 3131-3144 (2022) - [c28]Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang:
A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. ESEM 2022: 1-11 - [c27]Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang:
CLEAR: Contrastive Learning for API Recommendation. ICSE 2022: 376-387 - [c26]Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find bugs in static bug finders. ICPC 2022: 516-527 - [c25]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Automatic Comment Generation via Multi-Pass Deliberation. ASE 2022: 14:1-14:12 - [c24]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE 2022: 107-119 - [c23]Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang:
API recommendation for machine learning libraries: how far are we? ESEC/SIGSOFT FSE 2022: 370-381 - [i9]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. CoRR abs/2203.06502 (2022) - [i8]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR abs/2207.05579 (2022) - [i7]Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Automatic Comment Generation via Multi-Pass Deliberation. CoRR abs/2209.06634 (2022) - 2021
- [j6]Song Wang, Chetan Bansal, Nachiappan Nagappan:
Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. 130: 106408 (2021) - [j5]Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang:
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE Trans. Software Eng. 47(6): 1259-1276 (2021) - [c22]Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, Qing Wang:
Characterizing and Predicting Good First Issues. ESEM 2021: 13:1-13:12 - [c21]Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan:
Continuous Software Bug Prediction. ESEM 2021: 14:1-14:12 - [c20]Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan:
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE 2021: 1548-1560 - [c19]Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Developer Networks in Security Development. ISSRE 2021: 534-545 - [c18]Wen Zhang, Jiangpeng Zhao, Song Wang:
SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning. WI/IAT (Workshop/Special Session) 2021: 441-448 - [i6]Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang:
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing. CoRR abs/2106.09242 (2021) - [i5]Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet Another Combination of IR- and Neural-based Comment Generation. CoRR abs/2107.12938 (2021) - [i4]Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find Bugs in Static Bug Finders. CoRR abs/2109.02245 (2021) - [i3]Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Song Wang:
Explainable Software Defect Prediction: Are We There Yet? CoRR abs/2111.10901 (2021) - 2020
- [j4]Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan:
Deep Semantic Feature Learning for Software Defect Prediction. IEEE Trans. Software Eng. 46(12): 1267-1293 (2020) - [c17]Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang:
Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection. ESEM 2020: 17:1-17:12 - [c16]Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang:
Context-aware in-process crowdworker recommendation. ICSE 2020: 1535-1546
2010 – 2019
- 2019
- [j3]Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang:
Images don't lie: Duplicate crowdtesting reports detection with screenshot information. Inf. Softw. Technol. 110: 139-155 (2019) - [j2]Jaechang Nam, Song Wang, Yuan Xi, Lin Tan:
A bug finder refined by a large set of open-source projects. Inf. Softw. Technol. 112: 164-175 (2019) - [c15]Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip:
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE 2019: 46-55 - [i2]Song Wang, Nachi Nagappan:
Characterizing and Understanding Software Developer Networks in Security Development. CoRR abs/1907.12141 (2019) - 2018
- [b1]Song Wang:
Leveraging Machine Learning to Improve Software Reliability. University of Waterloo, Ontario, Canada, 2018 - [c14]Junjie Wang, Song Wang, Qing Wang:
Is there a "golden" feature set for static warning identification?: an experimental evaluation. ESEM 2018: 17:1-17:10 - [c13]Jaechang Nam, Song Wang, Yuan Xi, Lin Tan:
Designing bug detection rules for fewer false alarms. ICSE (Companion Volume) 2018: 315-316 - [i1]Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang:
Cutting Away the Confusion From Crowdtesting. CoRR abs/1805.02763 (2018) - 2017
- [c12]Junjie Wang, Qiang Cui, Song Wang, Qing Wang:
Domain Adaptation for Test Report Classification in Crowdsourced Testing. ICSE-SEIP 2017: 83-92 - [c11]Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li:
Multi-Objective Crowd Worker Selection in Crowdsourced Testing. SEKE 2017: 218-223 - [c10]Song Wang, Jaechang Nam, Lin Tan:
QTEP: quality-aware test case prioritization. ESEC/SIGSOFT FSE 2017: 523-534 - 2016
- [j1]Wen Zhang, Song Wang, Qing Wang:
KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity. Inf. Softw. Technol. 70: 68-84 (2016) - [c9]Junjie Wang, Qiang Cui, Qing Wang, Song Wang:
Towards Effectively Test Report Classification to Assist Crowdsourced Testing. ESEM 2016: 6:1-6:10 - [c8]Song Wang, Taiyue Liu, Lin Tan:
Automatically learning semantic features for defect prediction. ICSE 2016: 297-308 - [c7]Junjie Wang, Song Wang, Qiang Cui, Qing Wang:
Local-based active classification of test report to assist crowdsourced testing. ASE 2016: 190-201 - [c6]Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan:
Bugram: bug detection with n-gram language models. ASE 2016: 708-719 - 2015
- [c5]Xinye Tang, Song Wang, Ke Mao:
Will This Bug-Fixing Change Break Regression Testing? ESEM 2015: 215-224 - [c4]Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan:
DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. ICSE (1) 2015: 620-631 - [p1]Wen Zhang, Song Wang, Guangle Han, Ye Yang, Qing Wang:
HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub. Smart Modeling and Simulation for Complex Systems 2015: 1-14 - 2014
- [c3]Song Wang, Wen Zhang, Qing Wang:
FixerCache: unsupervised caching active developers for diverse bug triage. ESEM 2014: 25:1-25:10 - 2013
- [c2]Wen Zhang, Song Wang, Ye Yang, Qing Wang:
Heterogeneous Network Analysis of Developer Contribution in Bug Repositories. CSC 2013: 98-105 - [c1]Song Wang, Wen Zhang, Ye Yang, Qing Wang:
DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories. ESEM 2013: 193-202
Coauthor Index
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