Polymorphism, Subtyping, Whole Program Analysis and Accurate Data Types in Usage Analysis
There are a number of choices to be made in the design of a type based usage analysis. Some of these are: Should the analysis be monomorphic or have some degree of polymorphism? What about subtyping? How should the analysis deal with user defined algebraic data types? Should it be a whole program an...
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| creator | Gedell, Tobias Gustavsson, Jörgen Svenningsson, Josef |
| description | There are a number of choices to be made in the design of a type based usage analysis. Some of these are: Should the analysis be monomorphic or have some degree of polymorphism? What about subtyping? How should the analysis deal with user defined algebraic data types? Should it be a whole program analysis?
Several researchers have speculated that these features are important but there has been a lack of empirical evidence. In this paper we present a systematic evaluation of each of these features in the context of a full scale implementation of a usage analysis for Haskell.
Our measurements show that all features increase the precision. It is, however, not necessary to have them all to obtain an acceptable precision. |
| doi_str_mv | 10.1007/11924661_13 |
| format | Conference Proceeding |
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Several researchers have speculated that these features are important but there has been a lack of empirical evidence. In this paper we present a systematic evaluation of each of these features in the context of a full scale implementation of a usage analysis for Haskell.
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Several researchers have speculated that these features are important but there has been a lack of empirical evidence. In this paper we present a systematic evaluation of each of these features in the context of a full scale implementation of a usage analysis for Haskell.
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Several researchers have speculated that these features are important but there has been a lack of empirical evidence. In this paper we present a systematic evaluation of each of these features in the context of a full scale implementation of a usage analysis for Haskell.
Our measurements show that all features increase the precision. It is, however, not necessary to have them all to obtain an acceptable precision.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11924661_13</doi><tpages>17</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2006, Vol.LNCS (4279), p.200-216 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_20039334 |
| source | Springer Books |
| subjects | Applied sciences Call Site Computer science control theory systems Context Sensitivity Exact sciences and technology Program Point Program Transformation Programming languages Software Usage Analysis |
| title | Polymorphism, Subtyping, Whole Program Analysis and Accurate Data Types in Usage Analysis |
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