Domain Specific Languages (DSLs) with Groovy [5th IndicThreads Conference On Java, 2010, Pune, India]

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Session Presented at 5th IndicThreads.com Conference On Java held on 10-11 December 2010 in Pune, India WEB: http://J10.IndicThreads.com ------------ Session Abstract: The basic idea of a domain specific language (DSL) is a computer language that’s targeted to a particular kind of problem, rather than a general purpose language that’s aimed at any kind of software problem. In this session we will start by understanding what a DSL is through examples from the wild. Following that, I intend to bring out the flexibility afforded by dynamic languages (Groovy in particular) that provides developers with the tools to build their own DSLs with relative ease. We will see examples of mini languages built in under 50 LOC that make everyday boilerplate code look downright sexy! I will elaborate on several Groovy specific features, especially those that I feel contribute significantly towards making it a good workbench for DSLs. A basic understanding of dynamic languages will be a prerequisite for this session.

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Removing Uninteresting Bytes in Software Fuzzing

Aftab Hussain

Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

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Removing Uninteresting Bytes in Software Fuzzing