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Mark Mossberg

dblp:244/9807 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 first-author

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 · 50% Software testing · 50%
Network and information security
1 paper
Blockchain and cryptocurrency security · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing › test coverage
code coverage		 0.412019
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts · ASE 2019
Program analysis
dynamic analysis		 0.412019
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts · ASE 2019
Program analysis
symbolic execution		 0.412019
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts · ASE 2019
Software testing
test generation		 0.412019
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts · ASE 2019
Blockchain and cryptocurrency security
smart contract security		 0.112019
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts · ASE 2019

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

constraint solving · 0.8
YearPublicationVenuePosition
2019 Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts
abstract
An effective way to maximize code coverage in software tests is through dynamic symbolic execution-a technique that uses constraint solving to systematically explore a program's state space. We introduce an open-source dynamic symbolic execution framework called Manticore for analyzing binaries and Ethereum smart contracts. Manticore's flexible architecture allows it to support both traditional and exotic execution environments, and its API allows users to customize their analysis. Here, we discuss Manticore's architecture and demonstrate the capabilities we have used to find bugs and verify the correctness of code for our commercial clients.
Mark Mossberg, Felipe Manzano, Eric Hennenfent, Alex Groce, Gustavo Grieco, Josselin Feist, Trent Brunson, Artem Dinaburg
 ASE1