<div class="csl-bib-body">
<div class="csl-entry">Monika di Angelo, Durieux, T., Ferreira João F., & Gernot Salzer. (2023). SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts. In <i>2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)</i> (pp. 2102–2105). IEEE. https://doi.org/10.1109/ASE56229.2023.00060</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190314
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dc.description.abstract
Smart contracts are blockchain programs that often handle valuable assets. Writing secure smart contracts is far from trivial, and any vulnerability may lead to significant financial losses. To support developers in identifying and eliminating vulnerabilities, methods and tools for the automated analysis of smart contracts have been proposed. However, the lack of commonly accepted benchmark suites and performance metrics makes it difficult to compare and evaluate such tools. Moreover, the tools are heterogeneous in their interfaces and reports as well as their runtime requirements, and installing several tools is time-consuming. In this paper, we present SmartBugs 2.0, a modular execution framework. It provides a uniform interface to 19 tools aimed at smart contract analysis and accepts both Solidity source code and EVM bytecode as input. After describing its architecture, we highlight the features of the framework. We evaluate the framework via its reception by the community and illustrate its scalability by describing its role in a study involving 3.25 million analyses.
en
dc.language.iso
en
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dc.subject
Blockchain Technology
en
dc.subject
Vulnerability Detection
en
dc.subject
Automated Software Engineering
en
dc.title
SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Delft University of Technology, Netherlands (the)
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dc.contributor.affiliation
University of Lisbon, Portugal
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dc.relation.isbn
979-8-3503-2996-4
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dc.description.startpage
2102
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dc.description.endpage
2105
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
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tuw.peerreviewed
true
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tuw.relation.publisher
IEEE
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tuw.relation.publisherplace
Piscataway
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tuw.researchTopic.id
I4
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-05 - Forschungsbereich Theory and Logic
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tuw.publication.orgunit
E191-03 - Forschungsbereich Automation Systems
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tuw.publisher.doi
10.1109/ASE56229.2023.00060
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dc.description.numberOfPages
4
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tuw.author.orcid
0000-0002-4217-4530
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tuw.author.orcid
0000-0002-1996-6134
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tuw.author.orcid
000-0002-6612-9013
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tuw.author.orcid
0000-0002-8950-1551
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tuw.event.name
38th IEEE International Conference on Automated Software Engineering (ASE)