Intercax
IntercaxThe consideration of complexity concerning digital threads is a matter of both good and bad news. The literature on digital complexity metrics is rich with detailed algorithms for graphs and software code, many already available in Python and Gremlin libraries applicable to our demonstration example. On the other hand, the relevance of these to project
While this blog series focuses on the general concept of critical metrics for digital threads, we will illustrate these with actual examples. Commercial and open-source tools are available now to put these ideas into practice. For our example, we need a set of Data Sources, a Data Consumer to calculate and display the critical metrics,
One great promise of Digital Threads is that project managers can obtain a concise, real-time view of the state of system development. But there have been few examples of what this would look like and how it would be derived. In particular, we need to define critical metrics that the project managers can understand and
Intercax was a Ruby sponsor of the 2023 INCOSE International Workshop (IW) in Torrance, CA, USA, Jan 28-31. Our team comprising of Dr. Manas Bajaj (Chief Systems Officer), Lonnie VanZandt (Principal Solutions Architect), and Greg Salow (VP, Business Development) attended the IW to interact with peer system engineers and contribute to the digital engineering, SysML
TestRail From Gurock is a test management solution and accessible through the Syndeia Cloud REST API. In this notebook, we demonstrate how to navigate through the multilevel TestRail data model to obtain artifact data at any level. A TestRail Repository contains TestRail Projects, which map to Containers in the Syndeia data model A TestRail Project
In Part 6 of this series, we described Syndeia Cloud REST API calls to non-Configuration-Managed (non-CM or regular) DOORS NextGen (DNG) projects. DNG projects that are CM-enabled require users to navigate through several additional levels of Components, Streams, and Baselines to access all the data in the project. Components are contained within Projects; each Component
A key benefit of the Syndeia digital thread platform is that it enables the user to retrieve data from all the federated repositories through a single interface, the Syndeia Cloud REST API. This and the next several Jupyter notebooks released with Syndeia 3.5 will each focus on a specific repository type. This post will cover
One of the principal benefits of a digital thread platform such as Syndeia is that it gives project leaders a holistic real-time view of the entire modeling effort. By combining Syndeia data requests with data science analytics, users can monitor and document progress quantitatively. In Part 4 of this series, we review a new Jupyter
A key benefit of the Syndeia digital thread platform is that it enables the user to retrieve data from all the federated repositories through a single interface, the Syndeia Cloud REST API. Several of the Jupyter notebooks released in the API Cookbook with Syndeia 3.5 will each focus on a specific repository type. This post
Syndeia is a digital thread platform, part of the infrastructure of an integrated system development environment. While its capabilities are available through user interfaces we provide, such as the SysML plugins and the Syndeia Web Dashboard, the full power is realized as a set of “ready-to-integrate” services for building custom interfaces and dashboards. This involves