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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2026 . Peer-reviewed
License: Springer Nature TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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A Framework for Supporting Decentralised Applications Analysis

Authors: Flavio Corradini; Lorenzo Luzi; Fausto Marcantoni; Alessandro Marcelletti; Andrea Morichetta; Barbara Re;

A Framework for Supporting Decentralised Applications Analysis

Abstract

Blockchain technology has enabled the development of decentralised applications, which rely on smart contracts to implement their core logic. A critical phase in the development of such applications is the verification and analysis of the underlying smart contracts. The execution of these contracts can lead to unexpected behaviours caused by vulnerabilities or logical flaws. While various techniques have been established to analyse security aspects and prevent such issues, less attention has been given to execution data. This data is produced during the actual execution of smart contracts and exposes how these applications behave in practice. By analysing this data, domain experts can access novel perspectives of the application and uncover meaningful insights or patterns. In this work, we present a framework designed to support the analysis of decentralised applications. It provides functionalities to analyse and visualise execution data of smart contracts. The framework was implemented as a web-based application and evaluated by analysing its performance over synthetic logs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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