Events

Welcome to the AI engineering theme kickoff on August 27, 13.00-16.00! The agenda for the meeting is as follows: 13:00-13:15 Welcome and round of introductions 13:15-13:30 Introduction to the AI Engineering theme 13:30-14:15 Short presentations by PhD students 14:15-14:45 Introduction to CHAIR Seed project (as well as overview of earlier research) (Lucy & Aiswarya) 14:45-15:00 Break 15:00-15:30 Presentations by companies 15:30-15:55 Discussion and agreement on collaboration 15:55-16:00 Retrospective and closing

Digital meeting focusing on Scania and collaboration within Software Center.

Mid-sprint steering committee meeting

Strategy Workshop for Steering committee and Task force members.

Welcome to the workshop about KPIs and metrics, organized within the Software Center community. The goal of the workshop is to exchange good practices about KPIs and address topics around: Which KPIs and metrics have been found to work well, What the most common communication challenges are when communicating KPIs/metrics, How to design a well-working system for working with KPIs, and How to make KPIs that drive the company's development

We are organizing a knowledge exchange workshop around OTA:  Agenda: 13:00-13:15 Opening, setting the scene, round of introductions 13:15-13:30 Company presentation Volvo Cars 13:30-13:45 Company presentation AB Volvo 13:45-14:00 Company presentation Siemens 14:00-14:15 Company presentation Grundfos 14:15-14:30 Coffee break 14:30-14:45 Identification of key topics for deep dives 14:45-15:30 Discussion on each of the key topics 15:30-16:00 Reflection, agreement on next steps, closing If you have any questions or remarks, please

Most welcome to a workshop on ’Data pricing’ which we run as part of the PdM community workshop series. Location: Hybrid event (On-site at Lindholmen and online using Microsoft Teams) Background: Often, data is described as the “new oil” and very recently it was described as an “anti-commodity” in a presentation highlighting the potential of data to reshape and redefine business models and revenue streams. For companies, there are a number

Title: Multi-factor Approach for Flaky Test Detection and Automated Root Cause Analysis Speaker: Azeem Ahmad, Linköping University Abstract:  Re-running test cases is the most popular and adopted approach to detect flaky test in large scale industries. Re-running is costly because it consumes a lot of computing power. Google uses 2-16% of its testing budget just to re-run flaky tests. Re-running is unreliable because it is hard to determine the number

Welcome to a lunch seminar arranged by the Continuous Architecture theme: "Sorry, there is no digital transformation without software sustainability” Speakers: Patricia Lago and Birgit Penzenstadler This talk presents a brief overview of the results of the first sprint of the Sustainability Analysis project and gives insights into the ongoing sprint from our partnership with Jeppesen-Boeing which focuses on Design Decision Maps and Sustainability Goals as a basis for a

Deadline for NEW project proposals, for Sprint 20

You are all very welcome to attend the Licentiate seminar of Robbert Jongeling, where he will present his licentiate thesis based on his work in the Software Center project #35, Managing inconsistent development artefacts Title: Advancing continuous model-based development in industry When: 13.30, November 20, 2020 Where: Zoom (link below) - - - - - - - - - - - - - - - - - - Join Zoom

Deadline Sprint 20 project proposals, continued projects

This lunch  seminar is hosted by Software Center Theme 4: ‘Customer Data and Ecosystem Driven Development’. Our speaker is Helena H. Olsson from Malmö University. Towards Business Agility 2.0 Business agility is critical for companies across domains. It involves the ability to quickly respond to market dynamics and to emerging technologies. While business agility has predominantly been associated with the software industry it is rapidly becoming key for companies in

Task force meeting for planning sprint 20; evaluation of project proposals.

Steering committee meeting

Abstract: Artificial intelligence (AI) is becoming increasingly popular within companies across domains due to the success of machine learning (ML) and deep learning (DL) technologies. For companies across domains, the end-to-end process of developing, deploying and successfully adopting ML/DL models in operation introduces several challenges related to the design, the evolution and the scaling of these models. For example, access and availability of data is often challenging and activities such as

Title: "For a few dollars more... we forgot our process" Speaker: Antonio Martini Description: Process improvement might be down-prioritized exactly like software quality. Besides the well-known Technical Debt, we should also pay attention to possibly dangerous Process Debt. In this talk I'll introduce the concept and share a few interesting findings for the first investigation with the software center companies. Link to the recorded presentation >>

Most welcome to the sprint 20 kick-off workshop for project 5 (‘Accelerating Digitalization Through Data’) and project 9 (‘Strategic Ecosystem Driven R&D Management’). In both projects, we have had very rewarding collaborations and a number of different research activities related to digital transformation and the implications of this. As two primary topics of interest, we explored digital business models and data monetization. In addition, we complemented our work on value

Link to the meeting in MS Teams Most welcome to the first sprint 20 PdM community workshop that we organize January 28th, 13:00 – 15:00. The topic of this workshop is ‘Business Agility 2.0’. The topic of business agility received an amazing interest during sprint 19 and with a large number of participants both in the PdM workshop we organized (October 9th) as well as in the Brown Bag seminar

Presenter: Hongyi Zhang, PhD student, Chalmers Federated Learning is an improved Machine Learning approach which enables edge devices to collaboratively learn a shared machine learning model. The data exchanged between the edge and central server are no longer user data but the updated model weights. Furthermore, as this model training method is distributed, there are chances to make the model become smarter and adapt to their environment. (For example, devices

Most welcome to next week’s Brown Bag seminar (March 1st) hosted by Software Center theme 4: ‘Customer Data and Ecosystem Driven Development’. Our speaker is Helena H. Olsson, Malmö University.   Title: “Bird, fish or in between: Value modeling as a technique to help you align your business KPIs” Abstract: Data driven and experimental development practices provide effective means for companies to adopt a customer and market-centric way-of-working. In online

You are very welcome to the March 8 brownbag seminar organized by the AI engineering theme in Software Center. This time our speaker is Hugo Sica de Andrade. Abstract: The requirements for performance continue to increase in computer systems across several domains. Particularly in artificial intelligence applications, several workloads require large amounts of memory, parallel computing, and low-precision computation. One of the most prominent ways of fulfilling these performance requirements

Software systems are typically divided into production code and test-related code, which have been held to different standards w.r.t. enforcing their respective quality. In recent years, test code quality issues have gained traction, for instance in their relationship to test flakiness. During discussions with industry, despite access to several types of static analysis tools, these are not generally applied to tests with regularity. In this ongoing work, we investigate a

The project 18 team would like to invite you for the following cross company workshop. Your participation is highly appreciated. Agenda:  Introduction & welcome (Kristian Sandahl) Project background and work in progress (Azeem) Company’s demo/paper mockups for visualizing the top 5 information needs . Discussion about demos and challenges faced in data visualization together with best practices within participants’ companies. The application of virtual reality (VR) tools and techniques in