Contributing to Eclipse: Principles, Patterns, and Plugins
Contributing to Eclipse: Principles, Patterns, and Plugins
LCM ver.3: collaboration of array, bitmap and prefix tree for frequent itemset mining
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Comprehending implementation recipes of framework-provided concepts through dynamic analysis
Companion to the 22nd ACM SIGPLAN conference on Object-oriented programming systems and applications companion
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Application developers often apply the Monkey See/Monkey Do rule for framework-based application development, i.e., they use existing applications as a guide to understand how to implement a desired framework-provided concept (e.g., a context menu in an Eclipse view). However, the code that implements the concept of interest might be scattered across and tangled with code implementing other concepts. To address this issue, we introduce a novel framework comprehension technique called FUDA (Framework API Understanding through Dynamic Analysis). The main idea of this technique is to extract the implementation recipes of a given framework-provided concept from dynamic traces with the help of a dynamic slicing approach integrated with clustering and data mining techniques. In this demonstration, we present the prototype implementation of FUDA as two Eclipse plug-ins, and use them to generate the implementation recipes for a number of concepts in Eclipse views and GEF editors by using only a few example applications.