Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

21 to 30 of 129 Results
Quantum Computing @IAAS(Universität Stuttgart)
Mar 10, 2023
Dataverse for all quantum computing projects of the Institute of Architecture of Application Systems (IAAS)
MS Excel Spreadsheet - 23.8 KB - MD5: 5c6f803f1bc18f6b3fb0fa8168e5b8b7
The quality assurance form for grey literature studies in MS Excel format
OpenOffice Spreadsheet - 15.4 KB - MD5: 035212d37487db785d1341ccbd62fb59
The quality assurance form for grey literature studies in OpenOffice format
Comma Separated Values - 3.9 KB - MD5: 034afb4d30d08c7ccafd4a67f08480a1
The quality assurance form for grey literature studies in CSV format
Nov 30, 2022 - Architectures and Middleware @IAAS
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".
Nov 30, 2022 - Architectures and Middleware @IAAS
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".
Python Source Code - 567 B - MD5: 2d59023ea07e02020019970d499218fa
General QNN description
Adobe PDF - 1.5 MB - MD5: fe7ab8c0df4dcb06431dffceb59a58a2
The protocol document.
Adobe PDF - 875.6 KB - MD5: ac0d8290ee7d3aa4bf0f2f554a5ebc27
This document presents five supplementary plots that provide a comprehensive summary of the data across all graphs in all experiments. Please refer to the plots.zip archive for plots specific to each graph.
ZIP Archive - 162 B - MD5: 234e0cb67627bd2439c33df41027bf72
This archive contains supplementary plots and visualizations. Within the archive, each graph is allocated its own dedicated folder that conveniently stores all the relevant plots associated with that specific graph.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.