Panda – Open Source Development

BridgePoint is Open Source Software (OSS). It is free. However, OSS is not free like “free beer”; it is more like “free puppy”. Just like a puppy, open source software requires care and maintenance. Some members of the xtUML Community contribute to BridgePoint by finding and fixing bugs, writing code for new features or helping to write documentation.

Other members of the community fund these activities. Usually, it is a company running a project that employs BridgePoint tooling in their development processes.

One such project is active in May of 2020. The project is name Panda. The specification is also open source. Please see it here and follow along with the progress of the project.

xtUML Days 2018 Presentations

xtUML Days joined forces with MODELS’18 to provide an opportunity to mingle the communities.

Here are all of the presentations (that could be released):

Thank you to all of the presenters able to release their presentations to the community.

xtUML Days at MODELS

xtUML Days 2018 is co-located with MODELS in Copenhagen in October.  MODELS is increasing its focus on Industrial Modeling while maintaining the academic and research strength of the conference.  The graphic highlights the different industrial opportunities at MODELS this year.

MODELS 2018 Industry Program

MODELS 2018 Industry Program

Presos from xtUML Day Cheltenham

May 10, 2017 @ 8:00 am | Cheltenham, United Kingdom | Website

Presentations from xtUML Days 2017 Cheltenham

This episode of xtUML Day was a step up from previous meetings and increased participation from the community.

Here are all of the presentations (that could be made available):

Thank you to all of the presenters able to release their presentations to the community.

xtUML Day 2017 Linköping

Presentations from xtUML Day 2017 Linköping

This episode of xtUML Day was the best ever.  We stepped up from one day to two full days.  The venue was stunning.  The guest list included virtually all of the current key players in the Method.

Here are all of the presentations (that could be released):

Thank you to all of the presenters able to release their presentations to the community.

Model-Based Testing of Self-Driving Cars

Self-driving cars pose challenges to testing. The quantity and magnitude of sensor inputs create an enormous test vector space. Traditional manual testing methods are inadequate to cover this multi-dimensional vector space with test cases.
To address this challenge model-based techniques are applied to manage the testing complexity. Abstraction and automation increase the productivity of test engineering. Model-based test engineering allows generation of test cases, test data and predicted behavior. Sensor test generation, automated Navigation testing and turbulence induced testing are elements of a strategy to improve the efficiency of testing for self-driving cars.
A case study is provided as an example. Conclusions are then summarized.