Category: Testing

Presenter: Jim Herron – Technical Professional of Island Training

Your engineering requirements drive development – if they contain errors, so will your products. Add IBM Engineering Requirements Quality Assistant to DOORS Next or DOORS 9 to increase requirement quality during creation. Using Watson Natural Language Service and pre-trained AI, Requirements Quality Assistant has built-in quality indicators designed to be consistent with guidelines from the International Council on Systems Engineering (INCOSE) for writing complete, clear, and testable requirements to accelerate your review process, increase requirement quality and reduce training for junior requirements engineers. This webinar will show you how IBM RQA will allow you to assess your requirements with Watson AI.

Listen to April 30th recording here.

Presenter: Tim Feeney and Paul Ellis of IBM

In addition to all the significant functional enhancements IBM Engineering Lifecycle Management (ELM) v7.0, the release also includes many important changes and improvements related to enterprise deployment. In this session, we will highlight these changes and other best practices and guidance updates. With the DOORS Next platform being one of the more significant architectural changes in this release, we will review the new scale limits and highlight best practices to ensure a successful migration.

Listen to May 7th recording here.

Presenter: Eran Gery of IBM – Distinguish Engineer, A.I. Applications

Today’s products and systems in the Aerospace and Defense industry around the world are becoming more complex with new technologies rapidly disrupting the traditional norms. Disruptive innovations are creating an environment of “art of the possible”, which unfortunately also creates new threats to maintain compliant and safe systems. On this front of A&D, there is a call for a “digital engineering initiative”, looking at these suppliers to adopt digital techniques that enable a leap in speed and efficiency of bringing new systems from concept to operational state. Similar concepts are being sought in other industries like automotive and medical devices. The IBM engineering lifecycle platform (ELM) offers a set of capabilities that enable such a transformation of the engineering process along the line of the digital engineering initiative. In this talk, we will present the core capabilities of the ELM platform and demonstrate how it supports digital engineering practices along the product engineering cycle. We will look at an “end to end” practice from early stakeholder needs to verification and validation, involving advanced approaches such as model-based engineering, agile systems engineering and AI to realize the digital engineering vision.
Listen to May 26th recording here.