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Monica Marcus

dblp:20/5093 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Theory of computation · 2Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 100%
Software engineering, system software, and programming languages
1 paper
Program verification · 100%
Theoretical computer science
1 paper
Automated reasoning and model checking · 50% Logic in computer science · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
database tuning
0.112005
A Verifier for Interactive, Data-Driven Web Applications · SIGMOD Conference 2005
Program verification
model checking
0.112005
A Verifier for Interactive, Data-Driven Web Applications · SIGMOD Conference 2005
Logic in computer science › program logic
assertion language
0.011997
Symbolic Model Checking with Rich ssertional Languages · CAV 1997
Automated reasoning and model checking › model checking
symbolic model checking
0.011997
Symbolic Model Checking with Rich ssertional Languages · CAV 1997

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

model checking · 0.1symbolic model checking · 0.0
YearPublicationVenuePosition
2005 A Verifier for Interactive, Data-Driven Web Applications
abstract
We present WAVE, a verifier for interactive, database-driven Web applications specified using high-level modeling tools such as WebML. WAVE is complete for a broad class of applications and temporal properties. For other applications, WAVE can be used as an incomplete verifier, as commonly done in software verification. Our experiments on four representative data-driven applications and a battery of common properties yielded surprisingly good verification times, on the order of seconds. This suggests that interactive applications controlled by database queries may be unusually well suited to automatic verification. They also show that the coupling of model checking with database optimization techniques used in the implementation of WAVE can be extremely effective. This is significant both to the database area and to automatic verification in general.
Alin Deutsch, Monica Marcus, Liying Sui, Victor Vianu, Dayou Zhou
SIGMOD Conference2
2001 Symbolic model checking with rich assertional languages
Yonit Kesten, Oded Maler, Monica Marcus, Amir Pnueli, Elad Shahar
Theor. Comput. Sci.3
1997 Symbolic Model Checking with Rich ssertional Languages
Yonit Kesten, Oded Maler, Monica Marcus, Amir Pnueli, Elad Shahar
CAV3