Systems and Proposal Engineering Company (SPEC) will exhibit and demonstrate their model-based systems engineering tool, Innoslate, at the INCOSE International Symposium 2014, June 30-July 3.
June 27, 2014 (Newswire) - SPEC Innovations, a leader in innovative systems engineering services and developer of Innoslate, a model-based system engineering solution, will attend INCOSE Symposium 2014. International Council on Systems Engineering (INCOSE) 24th Annual International Symposium, will be held at the Green Valley Ranch Resort, near Las Vegas, Nevada, June 30 - July 3.
Demonstrations of Innoslate 3.0 will be given at Booth C3 to show how Innoslate can be used to implement the full lifecycle. Innoslate has the ability to perform Model-Based Systems Engineering, DoDAF 2.02, and Requirements Analysis and Management. New features included in Innoslate 3.0 are Enhanced Full Lifecycle Support, Project Dashboard, DoDAF 2.02 Dashboard, and Cross View Real-time Collaboration.
Innoslate is a model-based systems engineering developed by SPEC Innovations. As a public cloud or on-site application, Innoslate allows you to stay in sync with your engineering team while modeling a complete system. For more information visit https://innoslate.com/.
The International Council on Systems Engineering (INCOSE) is a not-for-profit organization founded in 1990. INCOSE's mission is to improve the principles and practices of systems engineering. For more information visit http://www.incose.org/.
For information about SPEC Innovations systems engineering consulting or training expertise, please visit http://www.specinnovations.com or follow us on Twitter @Innoslate and LinkedIn.
About SPEC Innovations: Systems and Proposal Engineering Company (SPEC Innovations) was established in 1993. Our business services include systems engineering services and training, proposal engineering management and training, software development, and DoDAF training and expertise. We apply systems thinking methodologies to all of our business processes, thus providing optimal solutions to difficult systems of systems problems.