Junpeng Ouyang
ABSTRACT
Searching for API is a hard problem, as text is not commonly representative of what a program does. In this paper, we present Moogle, a type-based API search engine for open-source Elm packages, with an online demonstration1. In Moogle, queries are based on names or type signatures, whose adequate information is leveraged for matching APIs from open-source libraries. Moogle applies unification algorithm, where generic type signatures can be matched to concrete ones and vice versa. In order to optimize the performance of applied matches, Moogle stores information of type signatures in an AST-based graph model, by applying graph DBMS, Neo4j. Moogle also has its implementation on a parser to convert its DSL, MoogleQL, into AST data models or string queries. According to our test, Moogle outperforms its congeneric work, Elm-search2, on many aspects including search range and allowed patterns with acceptable trade-offs.
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Cross Ref
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Index Terms
- A Novel Type-based API Search Engine for Open Source Elm Packages
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