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Simon Alperovich

dblp:184/8079 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Software engineering, systems software and programming languages · 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
Program analysis · 77% Programming languages and type systems · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis
data flow analysis
0.212016
An extensible framework for variable-precision data-flow analyses in MPS · ASE 2016
Programming languages and type systems
domain-specific languages
0.112016
An extensible framework for variable-precision data-flow analyses in MPS · ASE 2016

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

language workbench · 0.2
YearPublicationVenuePosition
2016 An extensible framework for variable-precision data-flow analyses in MPS
abstract
Data-flow analyses are used as part of many software engineering tasks: they are the foundations of program under- standing, refactorings and optimized code generation. Similar to general-purpose languages (GPLs), state-of-the-art domain-specific languages (DSLs) also require sophisticated data-flow analyses. However, as a consequence of the different economies of DSL development and their typically relatively fast evolution, the effort for developing and evolving such analyses must be lowered compared to GPLs. This tension can be resolved with dedicated support for data-flow analyses in language workbenches.
Tamás Szabó, Simon Alperovich, Markus Völter, Sebastian Erdweg
ASE2