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VLDB 2026 Research / reviewers in the wild / expert

Miguel Trigo

dblp:351/7076 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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

Software engineering, systems software and programming languages · 1 · 1 since 2021

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
Software testing · 87% Programming languages and type systems · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing › test optimization
test case selection		 0.712023
MetaData262: Automatic Test Suite Selection for Partial JavaScript Implementations · ISSTA 2023
Programming languages and type systems › dynamic languages
javascript		 0.212023
MetaData262: Automatic Test Suite Selection for Partial JavaScript Implementations · ISSTA 2023

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

metadata computation · 0.7
YearPublicationVenuePosition
2023 MetaData262: Automatic Test Suite Selection for Partial JavaScript Implementations
abstract
Despite the large number of partial reference implementations of the JavaScript language, there is currently no automatic mechanism for selecting the appropriate official tests for such implementations. To fill this gap, we introduce a new format for presenting the metadata associated with the tests included in Test262, the official JavaScript test suite, and present MetaData262, a new tool for both computing the metadata of Test262 tests and filtering tests according to their respective metadata properties.
Frederico Ramos, Diogo Costa Reis, Miguel Trigo, António Morgado 0001, José Fragoso Santos
 ISSTA3