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EuroSTAR Conference

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Track Talk Th19

Machine Learning: The Problems We Don’t Speak Of!

Martin Karsberg

Elias Sonnsjö

16:30-17:15 CEST Thursday 9th June

As machine learning is becoming a more natural part of software solutions, it also presents new challenges for the software testing community. When everything is black-box and when the data used to train the function is more interesting to test that the functionality itself… How will this affect the way we test? Based on work done in two research projects funded by the Swedish government and European union, some of the mist surrounding the topic will be dispelled.

The presentation will cover some of the challenges when it comes to testing non-coded (trained) functionality, along with an introduction to common problems one might face, and suggestions on overcoming some of the difficulties. As a way to tackle these challenges, a possible process of qualifying a trained functionality will be presented.

Using safety critical ML functionality within autonomous drive as a starting point, the presentation will cover topics such as:

  • Basic terms to keep track of
  • Challenges when it comes to optimization of functionality
  • Defining requirements
  • Use of simulators in software testing
  • Use of test levels

What you will learn

  1. An understanding of some of the common challenges in testing trained functionality
  2. A way of defining functional requirements for trained functionality
  3. How to qualify trained functionality by using traditional test levels.

Session Details

  • Intermediate
  • 45 Minutes
  • Includes 15mins Q&A
  • New Technologies & Challenges
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Session Speakers

EuroSTAR 2022 speaker Martin Karsberg

Martin Karsberg

Senior Tester – Infotiv, Sweden

I have worked within the field of software testing for over two decades, from testing IPv6 implementations in embedded software, to helping IT organizations with challenges in test processes. Since 2018 part of my time has been dedicated to research around the topic of verification and validation of Machine Learning functionality. Over the last couple of years I have tried to give back to the software community by lecturing and speaking at conferences, and hold courses in test methodologies at a local polytechnical college. Proud speaker at EuroSTAR 2019 in Prague 🙂

EuroSTAR 2022 speaker Elias Sonnsjö

Elias Sonnsjö

Competence Leader – Invotiv, Sweden

I have been working as a test system developer and engineer for three years, mainly towards virtual testing and verification. My biggest interest is in the field of Machine Learning. It’s the selected focus of my Master’s education and thesis – how to verify the intended functionality of something trained but not coded. In two research projects carried out at Infotiv, I’ve been exploring this, finding argumentative patterns as well as hidden biases and issues concealed in one of today’s “hottest” topics. Sharing is caring, as they say, and I hope to be able to enlighten these issues and discuss them with you.

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