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• W3014358669 abstract "Although the development of code search engines has brought forth syntax-aware capabilities when searching for reusable components, these engines do not fully exploit the given context and do not assess the retrieved source code. As a result, several test-driven reuse systems have been developed to offer context-aware component search and further assess the retrieved components using test cases. However, most of these systems employ strict matching criteria and do not offer information concerning the flow and the dependencies of the retrieved components. In this chapter, we present Mantissa, a system designed to overcome the aforementioned limitations. Mantissa allows code searching in growing repositories, such as GitHub. The user provides the input query as a code snippet and Mantissa employs a mechanism that uses Information Retrieval techniques to return functional software components. Finally, we provide an example usage scenario for Mantissa and evaluate our system against popular search engines and test-driven reuse systems to illustrate its effectiveness." @default.
• W3014358669 created "2020-04-10" @default.
• W3014358669 creator A5025943079 @default.
• W3014358669 creator A5047313464 @default.
• W3014358669 date "2020-01-01" @default.
• W3014358669 modified "2023-09-30" @default.
• W3014358669 title "Mining Source Code for Component Reuse" @default.
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• W3014358669 doi "https://doi.org/10.1007/978-3-030-30106-4_6" @default.
• W3014358669 hasPublicationYear "2020" @default.
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