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- research-articleOctober 2023
Isabelle/Cloud: Delivering Isabelle/HOL as a Cloud IDE for Theorem Proving
Internetware '23: Proceedings of the 14th Asia-Pacific Symposium on InternetwarePages 313–322https://doi.org/10.1145/3609437.3609460As online coding technology advances, various related products are emerging, but we observe that there are not many examples of introducing online coding into the field of theorem proving. We introduce Isabelle/Cloud, an online coding platform and user ...
- research-articleOctober 2023
MCodeSearcher: Multi-View Contrastive Learning for Code Search
Internetware '23: Proceedings of the 14th Asia-Pacific Symposium on InternetwarePages 270–280https://doi.org/10.1145/3609437.3609456Code search has been a critical software development activity in facilitating developers to retrieve a proper code snippet from open-source repositories given a user intent. In recent years, large-scale pre-trained models have shown impressive ...
- research-articleOctober 2023
Can Neural Networks Help Smart Contract Testing? An Empirical Study
Internetware '23: Proceedings of the 14th Asia-Pacific Symposium on InternetwarePages 79–89https://doi.org/10.1145/3609437.3609455Smart contracts are one of the most successful applications of blockchain technology. In order to guarantee the security of smart contracts, researchers have successively introduced various testing methodologies, including static analysis, symbolic ...
- research-articleOctober 2023
A Fine-Grained Evaluation of Mutation Operators for Deep Learning Systems: A Selective Mutation Approach
Internetware '23: Proceedings of the 14th Asia-Pacific Symposium on InternetwarePages 123–133https://doi.org/10.1145/3609437.3609453The widespread adoption of deep learning (DL) has made it critical to ensure its reliability. Mutation testing has been employed in DL testing to assess test data quality, but it can be costly of a large number of generated mutants. Cost reduction can ...