Partial evaluation of the “real thing”
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
By partially evaluating a meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, the authors automatically obtain very efficient specialised update procedures that execute faster than other integrity checking procedures proposed in the literature.
“By partially evaluating this meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, we are able to automatically obtain very efficient specialised update procedures, executing faster than other integrity checking procedures proposed in the literature.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [47]
By partially evaluating a meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, the authors automatically obtain very efficient specialised update procedures that execute faster than other integrity checking procedures proposed in the literature.
“By partially evaluating this meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, we are able to automatically obtain very efficient specialised update procedures, executing faster than other integrity checking procedures proposed in the literature.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [48]
[48] uses a freeness and sharing analysis to produce more efficient specialised programs by removing useless bindings as well as useless if-then-else tests.
“The exact details on how to unfold the if-then-else can be found in [48], where a freeness and sharing analysis are used to produce more efficient specialised programs by removing useless bindings as well as useless if-then-else tests.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [48]
The method of [48] tries to strictly enforce the Prolog left-to-right selection rule.
“The method of [48] tries to strictly enforce the Prolog left-to-right selection rule.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [48]
[48] extends the concept of LD-derivations and LD-trees to LDR-derivations and LDR-trees, which in addition to left-most resolution steps also contain residualisation steps.
“[48] extends the concept of LD-derivations and LD-trees to LDR-derivations and LDR-trees, which in addition to left-most resolution steps also contain residualisation steps.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [48]
Residualisation steps remove the left-most atom from the goal and hide it from the left-propagations of bindings.
“The latter remove the left-most atom from the goal and hide it from the left-propagations of bindings.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [48]
Useless if-then-else tests often occur when predicates with output arguments are used inside the test-part of an if-then-else.
“The latter often occur when predicates with output arguments are used inside the test-part of an if-thenelse.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [48]
The partial evaluator LEUPEL and a prototype [49] based upon it can generate specialised update procedures fully automatically.
“We have drawn upon the techniques in [48] and presented the partial evaluator LEUPEL and a prototype [49] based upon it, which can generate specialised update procedure fully automatically.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [48]
The partial evaluator LEUPEL and a prototype [49] based upon it can generate specialised update procedures fully automatically.
“We have drawn upon the techniques in [48] and presented the partial evaluator LEUPEL and a prototype [49] based upon it, which can generate specialised update procedure fully automatically.”
From Creating specialised integrity checks through partial evaluation of meta-interpreters (1998) · cites this paper as [49]
Cited by
Sorted by citations
Controlling generalization and polyvariance in partial deduction of normal logic programs
Leuschel, M., Martens, B., & De Schreye, D. (1998) · ACM Transactions on Programming Languages and Systems · doi:10.1145/271510.271525 · Cited by 88 · see citing works
Self-citationCreating specialised integrity checks through partial evaluation of meta-interpreters
Leuschel, M., & De Schreye, D. (1998) · The Journal of Logic Programming · doi:10.1016/s0743-1066(97)10012-7 · Cited by 29 · see citing works
Self-citationEfficiently generating efficient generating extensions in prolog
Jørgensen, J., & Leuschel, M. (1996) · Lecture Notes in Computer Science · doi:10.1007/3-540-61580-6_12 · Cited by 26 · see citing works
Self-citation
- Authors
- Leuschel, M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1994
- Pages
- 122-137
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1522948470
- Cited by
- 20
- References
- 0
- Citations by year
- 2016: 2
- FWCI
- 2.47
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, programming, and type systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Database Systems and Queries
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- partial evaluation, Prolog, partial deduction, denotational semantics, adverse effects, if-then-else, program specialization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review