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Elia Weixelbaum

dblp:77/4030 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 87% Runtime systems and virtual machines · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization
program transformation
0.011982
Transformational Derivation of a Garbage Collection Algorithm · ACM Trans. Program. Lang. Syst. 1982
Compilers and program optimization › program transformation › program derivation
transformational derivation
0.011982
Transformational Derivation of a Garbage Collection Algorithm · ACM Trans. Program. Lang. Syst. 1982
Runtime systems and virtual machines
garbage collection
0.011982
Transformational Derivation of a Garbage Collection Algorithm · ACM Trans. Program. Lang. Syst. 1982

Methods — techniques the papers use, named apart from their topics

transformational programming · 0.0
YearPublicationVenuePosition
1993 A Knowledge-Based Configurator that Supports Sales, Engineering, and Manufacturing at AT&T Network Systems
Jon R. Wright, Elia Weixelbaum, Karen E. Brown, Gregg T. Vesonder, Stephen R. Palmer, Jay I. Berman, Harry H. Moore
IAAI2
1982 Transformational Derivation of a Garbage Collection Algorithm
abstract
Transformational programming is a relatively new programming technique intended to derive complex algorithms automatically.Initially, a set of transformational rules is described, and an initial specification of the problem to be programmed is given.The specification is written in a high-level language in a fairly compact form possibly ignoring efficiency.A number of versions, called transformations, are created by successively applying the transformational rules starting with the initial specification.As an example of the application of this technique to a fairly complex case, a transformational derivation of a variant of a known efficient garbage collection and compaction algorithm from an initial very high-level specification is given.Currently, the techniques are still being developed, and therefore the transformations are derived manually.However, most of the transformations done are of a technical nature and could eventually be automated.
Robert B. K. Dewar, Micha Sharir, Elia Weixelbaum
ACM Trans. Program. Lang. Syst.3