Events

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

With this invite, we want to welcome you to the second workshop in a series of three this sprint – on the topic of ‘Business Agility 2.0’. Please help us share this invite with any colleagues that you think would be interested in joining. After a first workshop on the business model dimension, we focus our upcoming meeting on the ‘system architecture/platform/R&D ways-of-working’ dimension of business agility. A detailed agenda

This is an invite for a follow-up workshop on ‘Business Agility 2.0: The system architecture and platform dimensions’. The reason for a ‘follow-up’ workshop, is an agreement made during the workshop we organized on April 21st on the similar topics. The workshop received great attendance we had very good and interesting presentations and discussions. However, we were not able to cover all the items on the agenda. The request from

Presenter: David Issa Mattos (PhD student, Chalmers) One of the most common tasks when developing a new tool is to benchmark it against competing tools. Both researchers and practitioners often look at the results of these benchmarks before selecting the appropriate tool. However, the quality of the benchmark greatly influences the results. In this presentation, we discuss how to evaluate if your benchmark has the appropriate difficulty level and is

Deadline Sprint 21 continued project proposals

Welcome to Meenu Mary John´s licentiate seminar! Meenu defends her licentiate thesis: Design Methods and Processes for ML/DL Models Opponent: Professor Maria Paasivaara, LUT University, Finland Examiner: Professor Jan Persson, Malmö University Chair of the seminar: Professor Helena Holmström Olsson Abstract: Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, companies are increasingly using Artificial Intelligence (AI) in systems, along with electronics and software. Nevertheless,