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Semantics-based code search
Abstract
Our goal is to use the vast repositories of available open source code to generate specific functions or classes that meet a user's specifications. The key words here are specifications and generate. We let users specify what they are looking for as precisely as possible using keywords, class or method signatures, test cases, contracts, and security constraints. Our system then uses an open set of program transformations to map retrieved code into what the user asked for. This approach is implemented in a prototype system for Java with a Web interface.
Overview
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Citations
Cited by
Code completion with statistical language models
Raychev, V., Vechev, M., & Yahav, E. (2014) · Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/2594291.2594321 · Cited by 555
Mining StackOverflow to turn the IDE into a self-confident programming prompter
Ponzanelli, L., Bavota, G., Di Penta, M., Oliveto, R., & Lanza, M. (2014) · Proceedings of the 11th Working Conference on Mining Software Repositories · doi:10.1145/2597073.2597077 · Cited by 240
Software Documentation Issues Unveiled
Aghajani, E., Nagy, C., Vega-Marquez, O. L., Linares-Vasquez, M., Moreno, L., Bavota, G., & Lanza, M. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE) · doi:10.1109/icse.2019.00122 · Cited by 195
Improving code completion with program history
Robbes, R., & Lanza, M. (2010) · Automated Software Engineering · doi:10.1007/s10515-010-0064-x · Cited by 95
Analyzing and mining a code search engine usage log
Bajracharya, S. K., & Lopes, C. V. (2012) · Empirical Software Engineering · doi:10.1007/s10664-010-9144-6 · Cited by 90
Metadata
- Authors
- Reiss, S. P.
- Venue
- 2009 IEEE 31st International Conference on Software Engineering
- Publisher
- IEEE
- Published
- 2009
- Pages
- 243-253
- OpenAlex
- W2134092629
- Cited by
- 307
- References
- 0
- FWCI
- 18.18
- Type
- conference paper
- Language
- en
- Open access
- closed
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Data sources
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.