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Mario Nishio

dblp:354/1471 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0003-9879-4282ORCID · reported

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
Compilers and program optimization · 77% Programming languages and type systems · 23%
Theoretical computer science
1 paper
Algorithms and data structures · 100%

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

TopicWeightPapersLastEvidence papers
Compilers and program optimization
parsing
0.712023
Derivative Based Nonbacktracking Real-World Regex Matching with Backtracking Semantics · Proc. ACM Program. Lang. 2023
Algorithms and data structures › sequence algorithms
string algorithms
0.712023
Derivative Based Nonbacktracking Real-World Regex Matching with Backtracking Semantics · Proc. ACM Program. Lang. 2023
Programming languages and type systems
language semantics
0.212023
Derivative Based Nonbacktracking Real-World Regex Matching with Backtracking Semantics · Proc. ACM Program. Lang. 2023

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

regex rewrite system · 1.3derivative-based algorithm · 1.3
YearPublicationVenuePosition
2023 Derivative Based Nonbacktracking Real-World Regex Matching with Backtracking Semantics
abstract
We develop a new derivative based theory and algorithm for nonbacktracking regex matching that supports anchors and counting, preserves backtracking semantics, and can be extended with lookarounds. The algorithm has been implemented as a new regex backend in .NET and was extensively tested as part of the formal release process of .NET7. We present a formal proof of the correctness of the algorithm, which we believe to be the first of its kind concerning industrial implementations of regex matchers. The paper describes the complete foundation, the matching algorithm, and key aspects of the implementation involving a regex rewrite system, as well as a comprehensive evaluation over industrial case studies and other regex engines.
Dan Moseley, Mario Nishio, Jose Perez Rodriguez, Olli Saarikivi, Stephen Toub, Margus Veanes, Tiki Wan, Eric Xu
Proc. ACM Program. Lang.2