Views provided by UsageCounts
This dataset exemplifies the results that can be obtained for several basic experimentation scenarios by means of DAVOS toolkit, available under MIT licence at https://github.com/IlyaTuzov/DAVOS Particular experimentation scenarios are: - Dependability assessment (LEON3 processor core) - Dependability benchmarking of implementation alternatives (MC8051 processor core) - Dependability-aware design space exploration (when implementing PIC core by Xilinx ISE toolkit) Installation steps. 1. Ensure to have python ver. 2.x installed. Type in terminal (cmd console in Windows): “python --version” – if the output looks like > Python 2.x.x – python is installed. Otherwise download and install 2.x.x distribution: https://www.python.org/ Add python installation path to environment path variable. 2. Ensure to have Web-Server installed (Apache preferable). For instance, XAMPP: https://www.apachefriends.org/index.html 3. Ensure that Web-server is configured to execute CGI scripts, particularly python-scripts: In the 'httpd.conf' file (XAMMP control panel – button config in front of apache module): – search for line Options Indexes FollowSymLinks and add ExecCGI, so the resulting line looks like this: Options Indexes FollowSymLinks ExecCGI – search for #AddHandler cgi-script .cgi, uncomment (remove #), and append “.py” to this line, so the results looks like: AddHandler cgi-script .cgi .pl .asp .py 4. Unpack the contents of *.zip package into the folder on the Web Server. For instance into 'Web-server root folder'/Dataset. The Web-Server root can be configured in the ‘httpd.conf’ file in the DocumentRoot section, for instance: DocumentRoot "F:/HTWEB" <Directory "F:/HTWEB"> ... 5. In the web-browser navigate to the root directory of extracted package: http://localhost/Dataset/index.html
dependability assessment, dependability benchmarking, design-space exploration
dependability assessment, dependability benchmarking, design-space exploration
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

Views provided by UsageCounts