{"id":148202,"date":"2005-09-01T00:00:00","date_gmt":"2005-09-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/extensible-records-with-scoped-labels\/"},"modified":"2018-10-16T20:43:40","modified_gmt":"2018-10-17T03:43:40","slug":"extensible-records-with-scoped-labels","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/extensible-records-with-scoped-labels\/","title":{"rendered":"Extensible records with scoped labels"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Records provide a safe and flexible way to construct data structures. We describe a natural approach to typing polymorphic and extensible records that is simple, easy to use in practice, and straightforward to implement. A novel aspect of this work is that records can contain duplicate labels, effectively introducing a form of scoping over the labels. Furthermore, it is a fully orthogonal extension to existing type systems and programming languages. In particular, we show how it can be used conveniently with standard Hindley-Milner, qualified types, and ML-F. The records are implemented in the experimental Morrow interpreter. There is separate technical report that gives the constructive proofs of soundness and completeness.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Records provide a safe and flexible way to construct data structures. We describe a natural approach to typing polymorphic and extensible records that is simple, easy to use in practice, and straightforward to implement. A novel aspect of this work is that records can contain duplicate labels, effectively introducing a form of scoping over the [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13563],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-148202","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_publishername":"","msr_edition":"Proceedings of the 2005 Symposium on Trends in Functional Programming (TFP'05), Tallin, 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