Studies show that software developers often either misuse exception handling features or use them ineciently, and such a practice leads an undergoing software project to a fragile, insecure and non-robust application system. In this paper, we propose an IDE-based context-aware recommendation system that recommends exception handling code examples from a number of popular open source code repositories hosted at GitHub. It collects the code examples using GitHub code search API, and ranks them against the exception and its context in the IDE exploiting the structural and lexical features, and quality measures of the exception handlers in the examples
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