Fang-Hsiang Su

According to our database, Fang-Hsiang Su authored at least 11 papers between 2009 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Uncovering Features in Behaviorally Similar Programs.

Fang-Hsiang Su

PhD thesis, 2018

Obfuscation resilient search through executable classification.

Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

2017

Heavy Tails in Program Structure.

Hiroshi Sasaki, Fang-Hsiang Su, Teruo Tanimoto, Simha Sethumadhavan

IEEE Comput. Archit. Lett., 2017

Why do programs have heavy tails?

Hiroshi Sasaki, Fang-Hsiang Su, Teruo Tanimoto, Simha Sethumadhavan

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

Uncovering features in kindred programs.

Fang-Hsiang Su

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

Challenges in Behavioral Code Clone Detection.

Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser

Proceedings of the 10th International Workshop on Software Clones, 2016

Code relatives: detecting similarly behaving software.

Fang-Hsiang Su, Jonathan Bell, Kenneth Harvey, Simha Sethumadhavan, Gail E. Kaiser, Tony Jebara

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Identifying functionally similar code in complex codebases.

Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Simha Sethumadhavan

Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016

2015

Dynamic Inference of Likely Metamorphic Properties to Support Differential Testing.

Fang-Hsiang Su, Jonathan Bell, Christian Murphy, Gail E. Kaiser

Proceedings of the 10th IEEE/ACM International Workshop on Automation of Software Test, 2015

EXOS: Expansion on session for enhancing effectiveness of query auto-completion.

Fang-Hsiang Su, Manas Somaiya, Shrish Mishra, Rajyashree Mukherjee

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2009

A novel ontology-based knowledge engineering approach for yield symptom identification in semiconductor manufacturing.

Fang-Hsiang Su, Shi-Chung Chang, Chih-Min Fan, Ya-Jung Tsai, J. Jheng, Ching-Pin Kao, Chun-Yao Lu

Proceedings of the IEEE Conference on Automation Science and Engineering, 2009