Reporting workshop

Venue:

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This reporting workshop is a hybrid event; meet us live at Lindholmen Conference Center or join us over Teams.

Agenda:

10:00-10:30: Opening: Jan Bosch
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10:30-11:00: How to integrate fast & Agile SW development into a vehicle development: Keynote presentation by Mark Mohr, SVP Vehicle Technology at Volvo Group Truck Technology

11:00-12:00: Community updates in parallel:

• Software engineering: room “Watt” & virtual
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  Chairs: Miroslaw Staron, Wilhelm Meding, Jan Carlson and Kristian Sandahl
  • Session keynote: Machine Learning in production has never been easier, Josef Lindman Hörnlund, Gothenburg AI Association,
• Product management: room “Joule” & virtual
  
  Link to Teams meeting: Click here to join the meeting
  Chair: Helena H Olsson
  • Session keynote: Niklas Einvall, Head of Product Management, SAAB: ”New Security Demands Gives new Possibilities- Transformation from Legacy Based to Platform Based Sensors”
  • Session lightning talk: Fredrik Hugosson, Architect Body Worn Solutions, Axis Communications: ”Fail Fast”
• AI Engineering: room “Decibel” & virtual
  Link to Teams meeting: Click here to join the meeting
  Chair: Jan Bosch
  • Session keynote: Mette Lægdsmand, Head of AI Solutions in Digital Development, Grundfos: “Towards MLOps in digital products in Grundfos“

12:00 – 13: 00 Lunch break

13:00 – 15:00: Up-dates from Software Center projects – parallel tracks:

• Theme 1 & 2: Continuous delivery & Architecture: room “Watt” & virtual
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  • 13.00-13.30: Project:29: Intrusion Detection Systems using Tiny Digital Twins (Fereidoun Moradi)
  • 13.30-14.00: Project 30: Biases and Trust Challenges in Software Test Automation (Eduard Paul Enoiu)
  • 14.00-14.30: Project 35: Managing Model Inconsistencies (Robbert Jongeling)
  • 14.30-15.00: Discussion
• Theme 3: Metrics: room “Volt” & virtual
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  • 13.00 – 13.30: Project 37: Towards successful metrics communication for decision making: Triggering decisions and actions with defects dashboards. Suggestions for managers. (Nataliya Berbyuk Lindström, Aleksandre Asatiani)
  • 13.30 – 14.00: Project 3: Measuring requirements similarity using language embeddings (Miroslaw Staron)
  • 14.00 – 14.30: Project T4AI: Source code similarity measurement using language embeddings (Sushant K. Pandey)
  • 14.30 – 15.00: Project iNFORM: Non-Functional Requirements for Machine Learning: Understanding Current Use and Challenges Among Practitioners (Khan Mohammad Habibullah)
• Theme 4: Customer Data and Ecosystem Driven Development: room “Joule” & virtual
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  • 13:00 – 13:30 Project 5: Accelerating Digitalization Through Data (Helena H. Olsson)
  • 13:30 – 14:00 Project 9: Strategic Ecosystem Driven R&D Management (Helena H. Olsson)
  • 14:00 – 14:30 Project 27: Engineering Knowledge-Flows in Large-Scale Agile SystemDevelopment (Jennifer Horkoff)
  • 14:30 – 15:00 Q&A and Group discussion
    
• Theme 5: AI Engineering: room “Decibel” & virtual
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  • 13:00-13:20 Data Pipeline Maturity Model and AI Powered Fault Tolerance in Data Pipelines (Aiswarya Raj)
  • 13:20-13:40 Teodor Fredriksson
  • 13:40-14:00 Deep Reinforcement Learning in a Dynamic Environment (Hongyi Zhang)
  • 14:00-14:20 Monitoring Machine Learning/Deep learning Models in Production (Meenu John)
  • 14:20-14:40 Pattern Recognition Methods for Detecting Engineering Errors on Technical Drawings (Rimma Dzhusopova)
  • 14:40-15:00 Discussion

Afternoon plenary sessions: room “Decibel” and virtual
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15:15 – 16:00: A report from the machine learning trenches – Keynote presentation by Staffan Truvé, CTO / co-founder at Recorded Future

16:00 – 16:30 Plans, reflections & closing: Jan Bosch