Xin Peng's Homepage

Professor, Deputy Dean
School of Computer Science
Fudan University, China

Email: pengxin@fudan.edu.cn

Office: D2027, No.2 Interdisciplinary Research Building

Address: 2005 Songhu Road, Shanghai 200438

News

01/23: "SCTAP: Supporting Scenario-Centric Trigger-Action Programming based on Software-Defined Physical Environments" accepted by WWW 2023

01/23: join Automated Software Engineering (ASEJ) editorial board

12/22: "ViolationTracker: Building Precise Histories for Static Analysis Violations" accepted by ICSE 2023

12/22: "Slice-Based Code Change Representation Learning" and "Improving Fine-tuning Pre-trained Models on Small Source Code Datasets via Variational Information Bottleneck" accepted by SANER 2023

08/22: "PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning" accepted by ISSRE 2022

08/22: "Trace analysis based microservice architecture measurement" accepted by ESEC/FSE 2022 (Industry Track)

07/22: "BuildSonic: Detecting and Repairing Performance-Related Configuration Smells for Continuous Integration Builds" accepted by ASE 2022

06/22: "How to formulate specific how-to questions in software development?", "Understanding performance problems in deep learning systems", "Tracking patches for open source software vulnerabilities", and "TraceCRL: contrastive representation learning for microservice trace analysis" accepted by ESEC/FSE 2022

05/22: win the ACM SIGSOFT Distinguished Paper Award at ICPC 2022

04/22: "RegMiner: towards constructing a large regression dataset from code evolution history" and "Detecting and fixing data loss issues in Android apps" accepted by ISSTA 2022

08/22: "Predicting change propagation between code clone instances by graph-based deep learning" accepted by ICPC 2022

03/22: join ISSRE 2022 Program Committee

02/22: join IWSC 2022 Program Committee

01/22: join ICSME 2022 Program Committee

12/21: "DeepAnna: Deep Learning based Java Annotation Recommendation and Misuse Detection" accepted by SANER 2022

12/21: "Detecting Runtime Exceptions by Deep Code Representation Learning with Attention-Based Graph Neural Networks" accepted by SANER 2022

12/21: "DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning" accepted by ICSE 2022

12/21: "BuildSheriff: Change-Aware Test Failure Triage for Continuous Integration Builds" accepted by ICSE 2022

12/21: join ICPC 2022 Program Committee

11/21: win the ACM SIGSOFT Distinguished Paper Award at ASE 2021

11/21: join Internetware 2022 Program Committee

10/21: "API-Related Developer Information Needs in Stack Overflow" accepted by IEEE Transactions on Software Engineering

10/21: join ICSE 2023 Program Committee

10/21: join ICSE 2022 NIER Track Program Committee

08/21: "Characterizing usages, updates and risks of third-party libraries in Java projects" accepted by Empirical Software Engineering

08/21: ""More Than Deep Learning": post-processing for API sequence recommendation" accepted by Empirical Software Engineering

08/21: "Enjoy Your Observability: An Industrial Survey of Microservice Tracing and Analysis" accepted by Empirical Software Engineering

07/21: join ESEC/FSE 2022 Program Committee

07/21: join SANER 2022 Program Committee

07/21: "REPFINDER: Finding Replacements for Missing APIs in Library Update" accepted by ASE 2021

07/21: "Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph" accepted by ASE 2021

05/21: "Learning-based Extraction of First-Order Logic Representations of API Directives" accepted by FSE 2021

05/21: "Text-oriented Construction Method for CPS Resource Capability Knowledge Graph" (in Chinese) accepted by Chinese Journal of Software

05/21: "Dynamic and Static Analysis based FaaS Migration Approach for Monolithic Applications" (in Chinese) accepted by Chinese Journal of Software

05/21: "Automatic Code Semantic Tag Generation based on Software Knowledge Graph" (in Chinese) accepted by Chinese Journal of Software

05/21: "God Class Detection Approach Based on Graph Model and Isolation Forest" (in Chinese) accepted by Chinese Journal of Software

04/21: "Holistic Combination of Structural and Textual Code Information for Context based API Recommendation" accepted by IEEE Transactions on Software Engineering

01/21: join ICSE 2023 Organization Committee as Posters and Informal Demos Co-chair

12/20: "MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems" accepted by ICSE 2021 SEIP

12/20: "Assessing Code Clone Harmfulness: Indicators, Factors, and Counter Measures" accepted by SANER 2021

09/20: join ACM Transactions on Software Engineering and Methodology (TOSEM) editorial board

09/20: "An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects" won the IEEE TCSE Distinguished Paper Award at ICSME 2020

08/20: "An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects" accepted by ICSME 2020

08/20: "Improving Automated GUI Exploration of Android Apps via Static Dependency Analysis" accepted by ICSME 2020

08/20: "Generating Concept based API Element Comparison Using a Knowledge Graph" accepted by ASE 2020

08/20: "BuildFast: History-Aware Build Outcome Prediction for Fast Feedback and Reduced Cost in Continuous Integration" accepted by ASE 2020

08/20: join SANER 2021 Program Committee

06/20: join ESEC/FSE 2021 Program Committee

06/20: join ICSME 2020 Program Committee

05/20: "API Method Recommendation via Explicit Matching of Functionality Verb Phrases" accepted by ESEC/FSE 2020

05/20: "Interactive, Effort-Aware Library Version Harmonization" accepted by ESEC/FSE 2020

03/20: "Scenario-driven and Bottom-up Microservice Decomposition Method for Monolithic Systems" (in Chinese) accepted by Chinese Journal of Software

01/20: join the editorial board of Journal of Software: Evolution and Process as Co-Editor-in-Chief

12/19: join ASE 2020 Program Committee

10/19: "API Knowledge based Software Development Q&A and Resource Recommendation" funded by NSFC

10/19: "MashReDroid: Enabling End-User Creation of Android Mashups based on Record and Replay" accepted by SCIENCE CHINA Information Sciences

10/19: join SANER 2020 Program Committee

10/19: won the IEEE Transactions on Software Engineering Best Paper award for 2018

10/19: join ICSE 2021 Program Committee

10/19: join IWSC 2020 Program Committee

10/19: join ICPC 2020 organization committee as Industry Track Co-Chair

9/19: join ESEC/FSE 2020 Program Committee

09/19: “DeepLink: Recovering Issue-Commit Links based on Deep Learning” accepted by Journal of Systems and Software

09/19: “MashReDroid: Enabling End-User Creation of Android Mashups based on Record and Replay” accepted by SCIENCE CHINA Information Sciences

08/19: elected deputy director of CCF (China Computer Federation) TCSE

06/19: join ICSE 2020 SEIP Track Program Committee

05/19: four papers accepted by ESEC/FSE 2019 research track

05/19: a new version of our benchmark microservice system TrainTicket is released after refactoring

05/19: “Delta Debugging Microservice Systems with Parallel Optimization” accepted by IEEE Transactions on Services Computing

04/19: join Empirical Software Engineering (EMSE) editorial board

04/19: join ACM Transactions on Software Engineering and Methodology (TOSEM) distinguished reviewers board

03/19: “AI-Boosted Software Automation: Learning from Human Pair Programmers” accepted by SCIENCE CHINA Information Sciences

03/19: “Understanding Evolutionary Coupling by Fine-grained Co-change Relationship Analysis” accepted by ICPC 2019

02/19: join ASE 2019 organization committee as Journal First Co-Chair

02/19: “Generative API usage code recommendation with parameter concretization” accepted by SCIENCE CHINA Information Sciences

12/18: “Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study” accepted by IEEE Transactions on Software Engineering

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About me

I am interested in developing intelligent software engineering techniques and tools for software development, maintenance, and operation. I lead the CodeWisdom Team in Fudan University.

Our research focuses on the synergy between Software Engineering (SE) and Artificial Intelligence (AI) in two different directions, i.e., AI4SE and SE4AI. In the direction of AI4SE, we focus on employing AI technologies such as data mining, deep learning, knowledge graph, and more recent large language model (LLM) to solve software engineering problems, including: 1) software development data analysis for quality and efficiency/efficacy; 2) software supply chain risk management; 3) intelligent code recommendation/generation and software development question answering; 4) microservice architecture and AIOps (AI for IT Operation) for cloud-native software. In the direction of SE4AI, we focus on the software engineering and system engineering problems in AI applications and scenarios (e.g., smart cities, smart cars, and intelligent robots), including: 1) MLOps (Machine Learning Operations) and trustworthiness assurance of AI system lifecycle; 2) cloud-native techniques and system software for human-cyber-physical ternary ubiquitous computing; 3) application development and operations for robotic systems.

Our work won the Best Paper Award of ICSM 2011, the ACM SIGSOFT Distinguished Paper Award of ASE 2018/2021 and ICPC 2022, the IEEE TCSE Distinguished Paper Award of ICSME 2018/2019/2020, and IEEE Transactions on Software Engineering Best Paper award for 2018.

Working/Education Experience:

2015 – present, Professor, Fudan University

2010 – 2015, Associate Professor, Fudan University

2006 – 2010, Assistant Professor, Fudan University

2001 – 2006, PhD of Computer Science, Fudan University

1997 – 2001, Bachelor of Computer Science, Fudan University

Publication

DBLP

Google Scholar

Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Dewei Liu, Qilin Xiang, and Chuan He.
Latent Error Prediction and Fault Localization for Microservice Applications by Learning from System Trace Logs.
In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019) , Tallinn, Estonia, August 2019.
Download: [PDF] [BibTeX]

Chong Wang, Xin Peng, Mingwei Liu, Zhenchang Xing, Xuefang Bai, Bing Xie and Tuo Wang.
A Learning-based Approach for Automatic Construction of Domain Glossary from Source Code and Documentation.
In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019) , Tallinn, Estonia, August 2019.
Download: [PDF] [BibTeX]

Mingwei Liu, Xin Peng, Andrian Marcus, Zhenchang Xing, Wenkai Xie, Shuangshuang Xing and Yang Liu.
Generating Query-specific Class API Summaries.
In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019) , Tallinn, Estonia, August 2019.
Download: [PDF] [BibTeX]

Chen Zhang, Bihuan Chen, Linlin Chen, Xin Peng and Wenyun Zhao.
A Large-Scale Empirical Study of Compiler Errors in Continuous Integration.
In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019) , Tallinn, Estonia, August 2019.
Download: [PDF] [BibTeX]

Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, and Dan Ding.
Delta Debugging Microservice Systems with Parallel Optimization.
IEEE Transactions on Services Computing ,To appear. (An extended version of the ASE'18 paper)
Download: [PDF]

Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, and Dan Ding.
Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study.
IEEE Transactions on Software Engineering , To appear.

TSE Best Paper Award for 2018
Download: [PDF]

Bihuan Chen, Xin Peng, Yang Liu, Songzheng Song, Jiahuan Zheng, and Wenyun Zhao.
Architecture-Based Behavioral Adaptation with Generated Alternatives and Relaxed Constraints.
IEEE Transactions on Services Computing , 12(1): 73-87 (2019).
Download: [PDF] [BibTeX]

Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Wenhai Li, Chao Ji, and Dan Ding.
Delta Debugging Microservice Systems.
In Proceedings of 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE 2018) , Short Paper, Montpellier, France, September 2018.
Download: [PDF] [BibTeX]
An extended version to appear in IEEE Transactions on Services Computing.

Jiangtao Wang, Junfeng Zhao, Yong Zhang, Xin Peng, Ying Li, and Yun Xie.
Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China.
IEEE Computer , 51(12): 42-49 (2018).
Download: [PDF] [BibTeX]

Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chenjie Xu, Chao Ji, and Wenyun Zhao.
Poster: Benchmarking Microservice Systems for Software Engineering Research.
In Proceedings of the 40th International Conference on Software Engineering (ICSE 2018) , Posters, Gothenburg, Sweden, May 2018.
Download: [PDF] [BibTeX]