Siyuan Jiang

(Pronounce: Suh-you-en Chiang)

Software Engineering Researcher & Educator

I am a postdoc at the University of Notre Dame, in Dr. Collin McMillan's lab, AND a soon-to-be Assistant Professor of Computer Science Department at Eastern Michigan University (EMU).

My main research interests are in software engineering (SE) areas, such as program comprehension and program analysis. My recent research projects focus on adapting deep learning to address SE problems.

I am also passionate about teaching and will host a website for my classes at EMU soon!

Summary of My Research Projects

My most recent project is to generate commit messages by using Neural Machine Translation (NMT) (Publications 16 and 14). In this project, I introduced the state-of-the-art NMT in generating natural language descriptions of the modifications that programmers made to software artifacts. Click to see more about this project!

Most of my projects are empirical software engineering projects. For example, one of my projects is to study the behavior of programmers in debugging (Publication 11).

Publications

2017

17 Rrezarta Krasniqi, Siyuan Jiang, and Collin McMillan, "TraceLab Components for Generating Extractive Summaries of User Stories," in Proc. of the 33nd IEEE International Conference on Software Maintenance and Evolution, Artifacts Track (ICSME'17), Shanghai, China, Sept. 17-24, 2017.
preprint, online appendix

16 Siyuan Jiang, Ameer Armaly, and Collin McMillan, "Automatically Generating Commit Messages from Diffs Using Neural Machine Translation," in Proc. of the 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE'17).
arXiv:1708.09492, acm dl, online appendix

15 Paul W. McBurney, Siyuan Jiang, Marouane Kessentini, Nicholas A. Kraft, Ameer Armaly, Mohamed Wiem Mkaouer, and Collin McMillan, "Towards Prioritizing Documentation Effort," in Transactions on Software Engineering (TSE), accepted May 15, 2017. Journal-First Presentation at ESEC/FSE'17.
IEEExplore, preprint

14 Siyuan Jiang and Collin McMillan, "Towards Automatic Generation of Short Summaries of Commits," in Proc. of the 25th International Conference on Program Comprehension, ERA Track (ICPC'17).
arXiv:1703.09603, acm dl, online appendix

13 Siyuan Jiang, Ameer Armaly, Collin McMillan, Qiyu Zhi, and Ronald Metoyer, "Documenting API Input/Output Examples," in Proc. of the 25th International Conference on Program Comprehension, Tool Demo Track (ICPC'17).

12 Paige Rodeghero, Siyuan Jiang, Ameer Armaly, and Collin McMillan, "Detecting User Story Information in Developer-Client Conversations to Generate Extractive Summaries," in Proc. of the 39th International Conference on Software Engineering (ICSE'17).
preprint, ieeexplore, online appendix

2016

11 Siyuan Jiang, Collin McMillan, and Raul Santelices, "Do Programmers Do Change Impact Analysis?" in Empirical Software Engineering (EMSE), vol. 22, no.2, April 2017, pp.631-669. Journal-First Presentation at ICSME'17.
EMSE link, Springer online version, online appendix

10 Haipeng Cai, Raul Santelices, and Siyuan Jiang, "Prioritizing Change-Impact Analysis via Semantic Program-Dependence Quantification", in IEEE Transactions on Reliability, vol. 65, no. 3, Sept. 2016, pp. 1114 -1132.

2014

9 Raul Santelices, Haipeng Cai, Siyuan Jiang, and Yiji Zhang, “Advanced Dependence Analysis for Software Testing, Debugging, and Evolution”, in IEEE Reliability Digest, pages 18-24, 2014.

8 Ting Su, Geguang Pu, Bin Fang, Jifeng He, Jun Yan, Siyuan Jiang, and Jianjun Zhao, "Automated Coverage-Driven Test Data Generation Using Dynamic Symbolic Execution," in Proc. of the 8th IEEE International Conference on Software Security and Reliability (SERE'14).

7 Siyuan Jiang, Raul Santelices, Mark Grechanik, and Haipeng Cai, "On the Accuracy of Forward Dynamic Slicing and its Effects on Software Maintenance," in Proc. of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'14).

6 Haipeng Cai, Siyuan Jiang, Raul Santelices, Ying-Jie Zhang, and Yiji Zhang, "SENSA: Sensitivity Analysis for Quantitative Change-Impact Prediction," in Proc. of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'14).

5 Siyuan Jiang, Raul Santelices, Haipeng Cai, and Mark Grechanik, "How Accurate Is Dynamic Program Slicing? An Empirical Approach to Compute Accuracy Bounds," in Proc. of the 8th IEEE International Conference on Software Security and Reliability (SERE '14), fast abstract

4 Raul Santelices, Yiji Zhang, Haipeng Cai, and Siyuan Jiang, "Change-Effects Analysis for Evolving Software," in Advances in Computers, Vol. 93, Chapter 5, 2014.

2013

3 Raul Santelices, Yiji Zhang, Siyuan Jiang, Haipeng Cai and Ying-Jie Zhang, "Quantitative Program Slicing: Separating Statements by Relevance," in Proc. of the 2013 International Conference on Software Engineering, New Ideas and Emerging Results Track (ICSE'13)

2 Raul Santelices, Yiji Zhang, Haipeng Cai, and Siyuan Jiang, "DUA-Forensics: A Fine-Grained Dependence Analysis and Instrumentation Framework Based on Soot," in Proc. of the ACM SIGPLAN International Workshop on the State Of the Art in Java Program Analysis (SOAP'13).

2011

1 Xiao Yu, Shuai Sun, Geguang Pu, Siyuan Jiang, and Zheng Wang, "A Parallel Approach to Concolic Testing with Low-Cost Synchronization," in Electronic Notes in Theoretical Computer Science, vol. 274, Aug. 2011.

Posters

2018

"Automatically Generating Commit Messages from Diffs Using Neural Machine Translation," in the Midwest Speech and Language Days 2018.

Favorite Seminar

Besides software engineering, I am particularly interested in data science. This is my favorite seminar, "The Future of Data Analysis", presented by Dr. Edward Tufte.