Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches

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Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches", https://doi.org/10.18419/darus-3282, DaRUS, V1

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Description	This document contains information about: All the studies that were initially accepted for inclusion in the Multi-vocal Systematic Literature review. The studies that were rejected in the second phase and the reasons for their rejection. Filled out data extraction form for the finally-selected studies. The analysis of the extracted data by applying it to the CCSCI Classification Framework. The categorization of the finally-selected studies. (2022-09-01)
Subject	Computer and Information Science
Keyword	Blockchain, Interoperability, Multi-Vocal Systematic Literature Review, Qualitative Data Analysis
Related Publication	Falazi G, Breitenbücher U, Leymann F, Schulte S (2022) Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review. ACM Computing Surveys (Submitted)
License/Data Use Agreement	CC BY 4.0

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	Selection, Data Extraction, and Data Synthesis.ods OpenOffice Spreadsheet - 281.1 KB Published Nov 30, 2022 6 Downloads MD5: 4309c8502bdced6f7ce8ab8ddbd35ed1 The data presented in OpenOffice format.	Access File File Access Public Download Options OpenOffice Spreadsheet Download Metadata Data File Citation EndNote XML RIS BibTeX
	Selection, Data Extraction, and Data Synthesis.xlsx MS Excel Spreadsheet - 410.7 KB Published Nov 30, 2022 28 Downloads MD5: a98239092402fc6514a65dbe7b24bdd8 The data presented in Microsoft Excel format.	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18419/darus-3282
Publication Date	2022-11-30
Title	Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches
Author	Falazi, Ghareeb (University of Stuttgart, Institute of Architecture of Application Systems) - ORCID: 0000-0002-8064-9293 Breitenbücher, Uwe (Reutlingen University) - ORCID: 0000-0002-8816-5541 Leymann, Frank (University of Stuttgart, Institute of Architecture of Application Systems) - ORCID: 0000-0002-9123-259X Schulte, Stefan (Christian Doppler Laboratory for Blockchain Technologies for the Internet of Things, Hamburg University of Technology) - ORCID: 0000-0001-6828-9945
Point of Contact	Use email button above to contact. Falazi, Ghareeb (University of Stuttgart, Institute of Architecture of Application Systems)
Description	This document contains information about: All the studies that were initially accepted for inclusion in the Multi-vocal Systematic Literature review. The studies that were rejected in the second phase and the reasons for their rejection. Filled out data extraction form for the finally-selected studies. The analysis of the extracted data by applying it to the CCSCI Classification Framework. The categorization of the finally-selected studies. (2022-09-01)
Subject	Computer and Information Science
Keyword	Blockchain (Wikidata) https://www.wikidata.org/wiki/Q20514253 Interoperability (Wikidata) https://www.wikidata.org/wiki/Q749647 Multi-Vocal Systematic Literature Review Qualitative Data Analysis (Wikidata) https://www.wikidata.org/wiki/Q104773677
Related Publication	Falazi G, Breitenbücher U, Leymann F, Schulte S (2022) Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review. ACM Computing Surveys (Submitted)
Funding Information	The Austrian Federal Ministry for Digital and Economic Affairs The National Foundation for Research, Technology and Development The Christian Doppler Research Association for the Christian Doppler Laboratory for Blockchain Technologies for the Internet of Things
Depositor	Falazi, Ghareeb
Deposit Date	2022-11-24
Related Dataset	Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations", https://doi.org/10.18419/darus-3283, DaRUS; Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Qualitative Visual Analysis of Cross-chain Smart Contract Invocation Approaches", https://doi.org/10.18419/darus-3281, DaRUS; Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Cross-chain Smart Contract Invocations - a Multi-vocal Literature Review Protocol", https://doi.org/10.18419/darus-3280, DaRUS

Process Metadata

Processing Methods

Qualitative Data Analysis (For the purpose of data extraction from the 33 selected primary studies, we prepared a data extraction form that captures basic study information and fields that are directly derived from our research questions. Afterwards, we carefully read the studies and extracted the corresponding information from them. The form fields were filled with mostly qualitative data in the form of free text that is either directly copied from the original sources, or noted down by us as per our understanding of the content. The form clearly indicates both cases. Next, we analyzed the extracted data as follows: We performed a qualitative analysis on the textual data captured previously for each field in the extraction form separately, in which we first performed open coding (or first-cycle coding) on it, deriving codes (or keywords) that describe the mentioned concepts, and then performed axial coding (or second-cycle coding), which resulted in grouping similar codes together into categories (or pattern codes). This allowed us to break each textual field in the original data extraction form down into multiple smaller and more focused fields that capture numeric, boolean, or categorical data, which facilitate both easy categorization and comparison of the selected CCSCI approaches. These fields, constituted the basis for our CCSCI Classification Framework. Then we categorized the approaches based on selected framework dimensions and properties. This method follows the guidelines presented in: Miles MB, Huberman AM, Saldana J (2014) Qualitative Data Analysis - A Methods Sourcebook, 3rd edn. SAGE, London)

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Creative Commons Attribution 4.0 International License. CC BY 4.0

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