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Context-Sensitive Type Solver Tool for Finding the Fully Qualified Name of the API Element in Online Code Snippets
Code snippets available in community question answering sites (CQA) are a great source of learning how to use APIs. However, it is difficult to determine what APIs are discussed in those online code snippets because they often lack declaration and import statements. We introduce COSTER, a context sensitive type solver that can find Fully Qualified Names (FQN) of API elements used in those code snippets. The tool uses three different similarity measures to rank the potential FQNs of query API elements. Our quantitative evaluation and user study demonstrate that the tool can help developers to reuse API usage examples by suggesting required import statements to compile the code. Inferring types of API elements that can help researchers and tool developers focus on developing techniques to precisely locate API usage examples
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