PaMpeR: Proof Method Recommendation System for Isabelle/HOL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00329580" target="_blank" >RIV/68407700:21230/18:00329580 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/18:00329580
Result on the web
<a href="https://dl.acm.org/citation.cfm?id=3238210&dl=ACM&coll=DL" target="_blank" >https://dl.acm.org/citation.cfm?id=3238210&dl=ACM&coll=DL</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3238147.3238210" target="_blank" >10.1145/3238147.3238210</a>
Alternative languages
Result language
angličtina
Original language name
PaMpeR: Proof Method Recommendation System for Isabelle/HOL
Original language description
Deciding which sub-tool to use for a given proof state requires expertise specific to each interactive theorem prover (ITP). To mitigate this problem, we present PaMpeR, a proof method recommendation system for Isabelle/HOL. Given a proof state, PaMpeR recommends proof methods to discharge the proof goal and provides qualitative explanations as to why it suggests these methods. PaMpeR generates these recommendations based on existing hand-written proof corpora, thus transferring experienced users’ expertise to new users. Our evaluation shows that PaMpeR correctly predicts experienced users’ proof methods invocation especially when it comes to special purpose proof methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF15_003%2F0000466" target="_blank" >EF15_003/0000466: Artificial Intelligence and Reasoning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
ISBN
978-1-4503-5937-5
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
362-372
Publisher name
ACM
Place of publication
New York
Event location
Montpellier
Event date
Sep 3, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000553784500036