Yi Li bio photo

Yi Li

Associate Professor

College of Computing and Data Science (CCDS)
Nanyang Technological University (NTU)

Address: Block N4-02b-63
50 Nanyang Avenue, Singapore 639798
Phone: +65 6790 4287

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Paper accepted by ASE 2022 Demonstrations Track

Smart contracts are self-executing computer programs deployed on blockchain to enable trustworthy exchange of value without the need of a central authority. With the absence of documentation and specifications, routine tasks such as program understanding, maintenance, verification, and validation, remain challenging for smart contracts.

With my PhD student, Ye Liu, we propose a dynamic invariant detection tool, InvCon, for Ethereum smart contracts to mitigate this issue. The detected invariants can be used to not only support the reverse engineering of contract specifications, but also enable standard-compliance checking for contract implementations. InvCon provides a Web-based interface.

A paper [1] describing InvCon is accepted at the ASE’22 Demonstration track. You can find the video demonstration of the tool below.

InvCon Demo Video

References

  1. Liu, Y., & Li, Y. (2022). InvCon: A Dynamic Invariant Detector for Ethereum Smart Contracts. Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), 1–4.

Paper accepted by ASE 2022 Demonstrations Track was published on and last modified on .