Exaggerated Error Handling Hurts! An In-Depth Study and Context-Aware Detection

Author:

Pakki Aditya1,Lu Kangjie1

Affiliation:

1. University of Minnesota, Twin Cities, Minneapolis, MN, USA

Funder

NSF

Publisher

ACM

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs;Proceedings of the ACM on Software Engineering;2024-07-12

2. Process-Aware Intrusion Detection in MQTT Networks;Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy;2024-06-19

3. APP-Miner: Detecting API Misuses via Automatically Mining API Path Patterns;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

5. QueryX: Symbolic Query on Decompiled Code for Finding Bugs in COTS Binaries;2023 IEEE Symposium on Security and Privacy (SP);2023-05

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