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| Content Provider | ACM Digital Library |
|---|---|
| Author | Mishne, Alon Yahav, Eran Shoham, Sharon |
| Abstract | We present a novel code search approach for answering queries focused on API-usage with code showing how the API should be used. To construct a search index, we develop new techniques for statically mining and consolidating temporal API specifications from code snippets. In contrast to existing semantic-based techniques, our approach handles partial programs in the form of code snippets. Handling snippets allows us to consume code from various sources such as parts of open source projects, educational resources (e.g. tutorials), and expert code sites. To handle code snippets, our approach (i) extracts a possibly partial temporal specification from each snippet using a relatively precise static analysis tracking a generalized notion of typestate, and (ii) consolidates the partial temporal specifications, combining consistent partial information to yield consolidated temporal specifications, each of which captures a full(er) usage scenario. To answer a search query, we define a notion of relaxed inclusion matching a query against temporal specifications and their corresponding code snippets. We have implemented our approach in a tool called PRIME and applied it to search for API usage of several challenging APIs. PRIME was able to analyze and consolidate thousands of snippets per tested API, and our results indicate that the combination of a relatively precise analysis and consolidation allowed PRIME to answer challenging queries effectively. |
| Starting Page | 997 |
| Ending Page | 1016 |
| Page Count | 20 |
| File Format | |
| ISBN | 9781450315616 |
| DOI | 10.1145/2384616.2384689 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-10-19 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Ranking code samples Static analysis Typestate Specification mining Code search engine |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
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|---|---|---|---|
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