The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A framework for source code search using program patterns
Abstract
For maintainers involved in understanding and reengineering large software, locating source code fragments that match certain patterns is a critical task. Existing solutions to the problem are few, and they either involve manual, painstaking scans of the source code using tools based on regular expressions, or the use of large, integrated software engineering environments that include simple pattern-based query processors in their toolkits. We present a framework in which pattern languages are used to specify interesting code features. The pattern languages are derived by extending the source programming language with pattern-matching symbols. We describe SCRUPLE, a finite state machine-based source code search tool, that efficiently implements this framework. We also present experimental performance results obtained from a SCRUPLE prototype, and the user interface of a source code browser built on top of SCRUPLE.>
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A tool that detects plagiarism in Pascal programs
Grier, S. (1981) · ACM SIGCSE Bulletin · doi:10.1145/953049.800954 · Cited by 41
Cited by
A language independent approach for detecting duplicated code
Ducasse, S., Rieger, M., & Demeyer, S. (1999) · Proceedings IEEE International Conference on Software Maintenance - 1999 (ICSM'99). 'Software Maintenance for Business Change' (Cat. No.99CB36360) · doi:10.1109/icsm.1999.792593 · Cited by 615
Metadata
- Authors
- Paul, S., & Prakash, A.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1994-06
- Volume
- 20
- Issue
- 6
- Pages
- 463-475
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2100591395
- Cited by
- 180
- References
- 1
- FWCI
- 19.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Paul, S., & Prakash, A. (1994). A framework for source code search using program patterns. IEEE Transactions on Software Engineering. https://doi.org/10.1109/32.295894
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
