Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39544
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dc.titleExtending sized type with collection analysis
dc.contributor.authorChin, W.-N.
dc.contributor.authorKhoo, S.-C.
dc.contributor.authorXu, D.N.
dc.date.accessioned2013-07-04T07:44:00Z
dc.date.available2013-07-04T07:44:00Z
dc.date.issued2003
dc.identifier.citationChin, W.-N.,Khoo, S.-C.,Xu, D.N. (2003). Extending sized type with collection analysis. ACM SIGPLAN Notices 38 (10) : 315-324. ScholarBank@NUS Repository.
dc.identifier.issn03621340
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39544
dc.description.abstractMany program optimizations and analyses, such as array-bounds checking, termination analysis, depend on knowing the size of a function's input and output. However, size information can be difficult to compute. Firstly, accurate size computation requires detecting a size relation between different inputs of a function. Secondly, size information may also be contained inside a collection (data structure with multiple elements). In this paper, we introduce some techniques to derive universal and existential size properties over collections of elements of recursive data structures. We shall show how a mixed constraint system could support the enhanced size type, and highlight examples where collection analysis are useful.
dc.sourceScopus
dc.subjectCollection analysis
dc.subjectFix-point
dc.subjectMixed constraints
dc.subjectPolymorphism
dc.subjectSized type
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleACM SIGPLAN Notices
dc.description.volume38
dc.description.issue10
dc.description.page315-324
dc.identifier.isiutNOT_IN_WOS
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