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| Content Provider | ACM Digital Library |
|---|---|
| Author | Silva, Josep Ochoa, Claudio Vidal, Germán |
| Abstract | Program slicing is a well-known technique that extracts from a program those statements which are relevant to a particular criterion. While static slicing does not consider any input data, dynamic slices are computed from a particular program execution. Thus, dynamic slicers are usually easier to design and implement.In this work, we present a program specialization technique for lazy functional logic programming which is based on dynamic slicing. Our method exploits the code size reduction capabilities of slicing in order to produce a version of the original program specialized w.r.t. a given criterion. We also introduce some simple, post-processing transformations that allow us to further simplify the specialized program. The kind of specialization performed by our approach cannot be achieved with other related techniques like partial evaluation. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 1595930698 |
| DOI | 10.1145/1085099.1085101 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-09-29 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Lazy functional logic programming Program specialization Dynamic slicing |
| Content Type | Text |
| Resource Type | Article |
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