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A type-theoretic approach to higher-order modules with sharing
Open accessAbstract
The design of a module system for constructing and maintaining large programs is a difficult task that raises a number of theoretical and practical issues. A fundamental issue is the management of the flow of information between program units at compile time via the notion of an interface. Experience has shown that fully opaque interfaces are awkward to use in practice since too much information is hidden, and that fully transparent interfaces lead to excessive interdependencies, creating problems for maintenance and separate compilation. The “sharing” specifications of Standard ML address this issue by allowing the programmer to specify equational relationships between types in separated modules, but are not expressive enough to allow the programmer complete control over the propagation of type information between modules.
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Cited by
Using parameterized signatures to express modular structure
Jones, M. P. (1996) · Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96 · doi:10.1145/237721.237731 · Cited by 57
Metadata
- Authors
- Harper, R., & Lillibridge, M.
- Venue
- Proceedings of the 21st ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '94
- Publisher
- ACM Press
- Published
- 1994
- Pages
- 123-137
- OpenAlex
- W2048569219
- Cited by
- 287
- References
- 0
- FWCI
- 15.82
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Harper, R., & Lillibridge, M. (1994). A type-theoretic approach to higher-order modules with sharing. Proceedings of the 21st ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '94. https://doi.org/10.1145/174675.176927
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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.