Cora Software’s PPM Suite

If you’re looking for a comprehensive project portfolio management (PPM) solution, consider Cora Software’s suite of Cora PPM applications. Cora PPM’s robust feature set automates the creation, management, and close-out of project portfolios, programs, and initiatives, while providing a single point of entry for all data. Cora PPM also boasts mobile apps for iOS and Android that automatically display project data and provide dashboards. With a single system, companies can roll out strategically aligned portfolios of projects and reduce costs.

CORA’s GUI has a user-friendly interface that resembles a standard browser window. Users can enter search terms, select a location, and add domains. After entering their desired data, the software will process the report and show progress. Once finished, the data is exported to an excel file, which contains a summary of focal points, charts, and piles of data. It also includes the results of the search.

CORA PPM also comes with a command-line tool known as CORA. Users can also use it on Linux computers. The software is free to use, and includes an option for calculating ISO 18571 ratings. If you’d prefer to use a more advanced tool, Cora PPM is equipped with an API that uses JSON format and stateless technology. The API allows access to data without the use of a password.

The latest version of CORA 1.1 includes a fix for a bug in the coarse mapping tool. Previously, the tool would crash if it received a signal indicating the end of a stage. CORA 1.1 also contains improvements to the user interface, better readme files, and expanded coarse mapping tool compatibility. In addition to these, CORA offers user-defined memory optimizations and flexible parallelization options. Older versions of CORA are still available here.

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The Cora software suite uses machine learning and network vulnerability assessment tools to provide an objective evaluation of time-history signals. The system employs two independent sub-methods – corridor rating and cross-correlation. The former evaluates the fit of a response curve into user-defined corridors, and the latter evaluates phase shift, shape, and area below the curves. These two sub-methods work together in CORA to help engineers make decisions about which time-history signals are best.