A Comparison of Approaches for Visualizing Blockchains and Smart Contracts
Description
The use of blockchains and smart contracts is currently explored in various fields of science and engineering due to their potential of radically changing the ways of doing business and the assumed elimination of traditional legal entities. Thereby, the complexity of the underlying technical relationships and mechanisms typically hampers the understanding by non-technical experts. In this paper we review approaches for visualizing blockchains and smart contracts. The investigation focuses on design and analysis approaches, concluding with requirements for a visual modelling language.
Notes
Files
Jusletter_IT_Blockchain_Visualization.pdf
Files
(5.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:83c4eabd0627e1194aa9b08597e19c07
|
5.0 MB | Preview Download |
Additional details
References
- BATTISTA, GIUSEPPE, DONATO, VALENTINO, PATRIGNANI, MAURIZIO, TAMASSIA, ROBERTO, BitConeView: Visualization of Flows in the Bitcoin Transaction Graph. IEEE Symposium on Visualization for Cyber Security, Chicago 2015.
- CHOUDHURY, OLIVIA, RUDOLPH, NOLAN, SYLLA, ISSA, DAS, AMAR, Auto-Generation of Smart Contracts from Domain-Specific Ontologies and Semantic Rules, IEEE Blockchain Conference, Halifax 2018.
- FILL, HANS-GEORG, Visualisation for Semantic Information Systems, Gabler/Springer, 2006.
- FILL, HANS-GEORG, HÄRER, FELIX, Knowledge Blockchains: Applying Blockchain Technologies to Enterprise Modeling. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS), 2018, pp. 4045-4054.
- GAUR, NITIN, DESROSIERS, LUC, NOVOTNY, PETR, RAMAKRISHNA, VENKATRAMAN, O'DOWD ANTHONY, BASET, SALMAN, Hands-On Blockchain with Hyperledger, Packt Publishing, Birmingham 2018. GOVERNATORI, GUIDO, IDELBERGER, FLORIAN, MILOSEVIC, ZORAN, RIVERET, REGIS, SARTOR, GIOVANNI, XU, XIWEI, On legal contracts, imperative and declarative smart contracts, and blockchain systems, Artificial Intelligence and Law, volume 26, issue 4, 2018, pp. 377–409.
- HAAPIO, HELENA, DEROOY, ROBERG, BARTON, THOMAS D., New Contract Genres. In: Schweighofer, Erich, Kummer, Franz, Saarenpää, Ahti, Schafer, Burkhard (Eds.), Data Protection / LegalTech. Proceedings of the 21th International Legal Informatics Symposium IRIS 2018, Editions Web-law, Bern 2018, pp. 455-460.
- HAARMANN, STEPHAN, BATOULIS, KIMON, NIKAJ, ADRIATIK, WESKE, MATTHIAS, DMN Decision Execution on the Ethereum Blockchain. In: Advanced Information Systems Engineering (CAiSE 2018), Tallinn 2018.
- HÄRER, FELIX, Decentralized Process Modeling and Instance Tracking Secured by a Blockchain, European Conference on Information Systems (ECIS 2018), Portsmouth 2018.
- HARLEV, MIKKEL, SUN YIN, HAOHUA, LANGENHELDT, KLAUS CHRISTIAN, MUKKAMALA, RAGHAVA, VATRAPU, RAVI, Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS), 2018, pp. 3497-3506.
- HYPERLEDGER, Node-RED Tutorial for Integrating a Hyperledger Composer Business Network. https://hyperledger.github.io/composer/v0.16/tutorials/nodered-tutorial (accessed on 14 December 2018).
- KALODNER, HARRY, GOLDFEDER, STEVEN, CHATOR, ALISHAH, MÖSER, MALTE, NARAYANAN, ARVIND, BlockSci: Design and applications of a blockchain analysis platform, arXiv:1709.02489 [cs.CR], 2017.
- KARAGIANNIS, DIMITRIS, MAYR, HEINRICH C., MYLOPOULOS, JOHN, Domain-Specific Conceptual Modeling. Springer International Publishing, 2016.
- KINKELDEY, CHRISTOPH, FEKETE, JEAN-DANIEL, ISENBERG, PETRA, BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network. Eurographics Conference on Visualization (EuroVis 2017), Aire-la-Ville (CH) 2017, pp.3.
- DE KRUIJFF, JOOST AND WEIGAND, HANS, Commitment-Based Smart Contracts Using RuleML. RuleML Conference, 2018. https://www.researchgate.net/publication/326088881 (accessed on 14 December 2018), 2018.
- KUZUNO, HIROKI, KARAM, CHRISTIAN, Blockchain explorer: An analytical process and investigation environment. 2017 APWG Symposium on Electronic Crime Research (eCrime 2017), 2017, pp. 9-16.
- MCGINN, D., MCILWRAITH, D., GUO, Y., Towards open data blockchain analytics: a Bitcoin perspective. Royal Society Open Science, 2018. DOI 10.1098/rsos.180298.
- MÖSER, MALTE, Anonymität von Bitcoin Transaktionen, Analyse von Bitcoin Mixern. Münster Bitcoin Conference, Münster 2013. http://www.wi.uni-muenster.de/sites/wi/files/public/department/itsecurity/mbc13/mbc13-moeser-presentation.pdf (accessed on 5 December 2018).
- NORTA, ALEX, Creation of Smart-Contracting Collaborations for Decentralized Autonomous Organizations. Proceedings of Business Informatics Research (BIR 2015), 2015, pp. 3-17.
- NORVILL, ROBERT/PONTIVEROS, BELTRAN BORJA FIZ/STATE, RADU/CULLEN, ANDREA, Visual emulation for Ethereum's virtual machine. In: IEEE/IFIP Network Operations and Management Symposium (NOMS), Taipei 2018, pp. 1-4.
- PINNA, ANDREA, TONELLI, ROBERTO, ORRÙ, MATTEO, MARCHESI, MICHELE, A Petri Nets Model for Blockchain Analysis, Computer Journal, volume 61, issue 9, 2018, pp. 1347–1388.
- TRAN, AN, LU, QINGHUA, WEBER, INGO, Lorikeet: A Model-Driven Engineering Tool for Blockchain-Based Business Process Execution and Asset Management, Business Process Management (BPM 2018), Sydney 2018.