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Parser Generators Sharing LR Automaton Generators and Accepting General Purpose Programming Language-based Specifications
Jintaeck Lim, Gayoung Kim, Seunghyun Shin, Kwanghoon Choi, Iksoon Kim
http://doi.org/10.5626/JOK.2020.47.1.52
This paper proposes two ways to develop LR parsers easily. First, one can write a parser specification in a general programming language and derive the benefits of syntax error checking, code completion, and type-error checking over the specification from the language’s development environment. Second, to make it easy to develop a parser tool for a new programming language, the automata generation for the parser specifications is in a modular form. With the idea proposed in this study, we developed a tool for writing parsers in Python, Java, C++, and Haskell. We also demonstrated the two aforementioned advantages in an experiment.
A Runtime Inspection Technique with Intent Specification for Developing Robust Android Apps
Myungpil-Ko, Kwanghoon Choi, Byeong-Mo Chang
Android apps suffer from intent vulnerabilities in that they abnormally stop execution when Android components such as, activity, service, and broadcast receiver, take malformed intents. This paper proposes a method to prevent intent vulnerabilities by allowing programmers to write a specification on intents that a component expects to have, and by checking intents against the specification in runtime. By declaring intent specifications, we can solve the problem that one may miss writing conditional statements, which check the validity of intents, or one may mix those statements with another regular code, so making it difficult to maintain them. We perform an experiment by applying the proposed method to 7 Android apps, and confirm that many of abnormal termination of the apps because of malformed intents can be avoided by the intent specification based runtime assertion.
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