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2,321 to 2,330 of 2,331 Results

Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations Nov 30, 2022 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, V1 Forms that estimate the quality of candidate grey literature studies to be included in the multi-vocal literature review entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review".
Quality Assurance.csv Nov 30, 2022 - Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations Comma Separated Values - 3.9 KB - MD5: 034afb4d30d08c7ccafd4a67f08480a1 The quality assurance form for grey literature studies in CSV format
Quality Assurance.ods Nov 30, 2022 - Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations OpenOffice Spreadsheet - 15.4 KB - MD5: 035212d37487db785d1341ccbd62fb59 The quality assurance form for grey literature studies in OpenOffice format
Quality Assurance.xlsx Nov 30, 2022 - Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations MS Excel Spreadsheet - 23.8 KB - MD5: 5c6f803f1bc18f6b3fb0fa8168e5b8b7 The quality assurance form for grey literature studies in MS Excel format
Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches Nov 30, 2022 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 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...
Selection, Data Extraction, and Data Synthesis.ods Nov 30, 2022 - Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches OpenOffice Spreadsheet - 281.1 KB - MD5: 4309c8502bdced6f7ce8ab8ddbd35ed1 The data presented in OpenOffice format.
Selection, Data Extraction, and Data Synthesis.xlsx Nov 30, 2022 - Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches MS Excel Spreadsheet - 410.7 KB - MD5: a98239092402fc6514a65dbe7b24bdd8 The data presented in Microsoft Excel format.
Qualitative Visual Analysis of Cross-chain Smart Contract Invocation Approaches Nov 30, 2022 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, V1 This document demonstrates the visual qualitative analysis performed over the approaches systematically selected for inclusion in the study entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review".
Visual Analysis.pdf Nov 30, 2022 - Qualitative Visual Analysis of Cross-chain Smart Contract Invocation Approaches Adobe PDF - 1.5 MB - MD5: 2308d08265282378fd4e3335abef9f0c Qualitative visual analysis of the selected CCSCI approaches.
Cross-chain Smart Contract Invocations - a Multi-vocal Literature Review Protocol Nov 30, 2022 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, V1 This document introduces the protocol that describes how a Multivocal Literature Review (MLR) regarding Cross-chain Smart Contract Invocation (CCSCI) was planned to be conducted. The main purpose of having this protocol is to avoid bias when selecting primary sources and processing them. Furthermore, it helped co-authors gain an overview of the top...

Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations

Nov 30, 2022

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, V1

Forms that estimate the quality of candidate grey literature studies to be included in the multi-vocal literature review entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review".

Quality Assurance.csv

Nov 30, 2022 - Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations

Comma Separated Values - 3.9 KB -

The quality assurance form for grey literature studies in CSV format

Quality Assurance.ods

Nov 30, 2022 - Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations

OpenOffice Spreadsheet - 15.4 KB -

The quality assurance form for grey literature studies in OpenOffice format

Quality Assurance.xlsx

Nov 30, 2022 - Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations

MS Excel Spreadsheet - 23.8 KB -

The quality assurance form for grey literature studies in MS Excel format

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

Nov 30, 2022

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

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...

Selection, Data Extraction, and Data Synthesis.ods

Nov 30, 2022 - Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches

OpenOffice Spreadsheet - 281.1 KB -

The data presented in OpenOffice format.

Selection, Data Extraction, and Data Synthesis.xlsx

Nov 30, 2022 - Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches

MS Excel Spreadsheet - 410.7 KB -

The data presented in Microsoft Excel format.

Qualitative Visual Analysis of Cross-chain Smart Contract Invocation Approaches

Nov 30, 2022

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, V1

This document demonstrates the visual qualitative analysis performed over the approaches systematically selected for inclusion in the study entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review".

Visual Analysis.pdf

Nov 30, 2022 - Qualitative Visual Analysis of Cross-chain Smart Contract Invocation Approaches

Adobe PDF - 1.5 MB -

Qualitative visual analysis of the selected CCSCI approaches.

Cross-chain Smart Contract Invocations - a Multi-vocal Literature Review Protocol

Nov 30, 2022

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, V1

This document introduces the protocol that describes how a Multivocal Literature Review (MLR) regarding Cross-chain Smart Contract Invocation (CCSCI) was planned to be conducted. The main purpose of having this protocol is to avoid bias when selecting primary sources and processing them. Furthermore, it helped co-authors gain an overview of the top...

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