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Planning a complex software modification task imposes a high cognitive burden on developers, who must juggle navigating the software, understanding what they see with respect to their task, and deciding how their task should be performed given what they have discovered. Pragmatic reuse tasks, where source code is reused in a white-box fashion, is an example of a complex and error-prone modification task: the developer must plan out which portions of a system to reuse, extract the code, and integrate it into their own system. In this paper, the authors present a recommendation system that automates some aspects of the planning process undertaken by developers during pragmatic reuse tasks.
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