Conference
Fully Abstract Normal Form Bisimulation for Call-by-Value PCF ; 2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)
| Title: | Fully Abstract Normal Form Bisimulation for Call-by-Value PCF ; 2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) |
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| Authors: | Koutavas, Vasileios, Lin Hou, Yu |
| Contributors: | Science Foundation Ireland (SFI), 13/RC/2094_2 |
| Publisher Information: | IEEE |
| Publication Year: | 2023 |
| Collection: | The University of Dublin, Trinity College: TARA (Trinity's Access to Research Archive) |
| Subject Terms: | PCF, Biosimulation, Computer Programming Languages, Formal (i.e. mathematical) Methods In Computer Science, Formal Methods, Formal Semantics, Program Equivalence, Program Verification |
| Description: | PUBLISHED ; Boston, MA, USA ; We present the first fully abstract normal form bisimulation for call-by-value PCF (PCFv). Our model is based on a labelled transition system (LTS) that combines elements from applicative bisimulation, environmental bisimulation and game semantics. In order to obtain completeness while avoiding the use of semantic quotiening, the LTS constructs traces corresponding to interactions with possible functional contexts. The model gives rise to a sound and complete technique for checking of PCFv program equivalence, which we implement in a bounded bisimulation checking tool. We test our tool on known equivalences from the literature and new examples. |
| Document Type: | conference object |
| File Description: | application/pdf |
| Language: | English |
| Relation: | Y; http://hdl.handle.net/2262/103829; http://people.tcd.ie/vkoutav; http://people.tcd.ie/linhouy; 258371; http://dx.doi.org/10.1109/LICS56636.2023.10175778 |
| DOI: | 10.1109/LICS56636.2023.10175778 |
| Availability: | http://hdl.handle.net/2262/103829 http://people.tcd.ie/vkoutav http://people.tcd.ie/linhouy https://doi.org/10.1109/LICS56636.2023.10175778 |
| Rights: | Y ; openAccess |
| Accession Number: | edsbas.E9B78955 |
| Database: | BASE |
| DOI: | 10.1109/LICS56636.2023.10175778 |
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