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Recording from the Software Center Brown Bag seminar on November 8th: ”Setting AI in context: Why data for AI needs context” The seminar was hosted by theme 4 (‘Customer Data and Ecosystem Driven Development’) and the speaker is Hans-Martin Heyn. Hans-Martin is a Postdoctoral researcher at the Department of Computer Science and Engineering at Chalmers/University of Gothenburg. For automated driving systems the operational context needs to be known in order

Noise Handling for Improving Machine Learning-based Test Case Selection: brownbag seminar from November 1 SC doctoral candidate Khaled Al-Sabbagh presents his research about noise selection – which is a preparation for his Licentiate seminar. Recording of the presentation on YouTube: https://www.youtube.com/watch?v=vseujcza10k Background: Continuous integration is a modern software engineering practice that promotes for continuously integrating and testing new code changes as soon as they get submitted to the project repository.

Software Center Brown Bag seminar from October 25, hosted by theme 2: Continuous safety conformance/compliance/self-assessment…WOW! But, what is safety? Speaker: Barbara Gallina, associate professor, Mälardalen University In this talk, first, we will recall the notion of safety. Then, we will provide a possible solution for continuous safety conformance/compliance/self-assessment based on OSLC (Open Services for Lifecycle Collaboration). Link to the recorded presentation on YouTube: https://www.youtube.com/watch?v=j-Uxq-xPlm8   Also, please note that everyone interested

Brown-Bag seminar by Theme1: Biases in testing: how aware are we? from October 18th: In our current research work, we investigate the influence of prior beliefs, expectations, preconceptions, and biases on testing and test automation. As a first step, we studied the awareness of the industry regarding this topic by surveying test practitioners from all over Europe. In this seminar, we will outline some of the preliminary results. Link to

Recording of the brownbag seminar by Anders Aronsson from Ericsson Research, presenting their research and how it impacts society. Abstract: Who are we at Ericsson Research in Gothenburg and what are we really doing? What does “research” mean within our company, and how does it look like? Some examples and how we aim to make an impact on our society. Link to the recording on YouTube:

Deep neural networks trained on source code have been shown to automate routine development tasks such as code completion, comments generation, etc. But is such an AI expert in coding also an expert in software design? With design often being considered as a specialist skill, what do we do to ensure that the model understands nuances of SW design? Ensuring this opens up possibilities of automating design-related tasks. This talk

“Macrodebts” in microservices: understanding and managing them September 13 @ 12:00 – 12:30 Speakers: Antonio Martini and Saulo Soares de Toledo Link to the video: https://youtu.be/WzRilnNJynM The microservices architectural style is increasing in popularity because it helps companies deliver value to their customers fast and continuously. However, a microservice architecture is prone to costly architectural technical debt (ATD), if not timely identified and avoided or removed. The most important ATDs

Individual test designer performance – an elephant in the room or an asset for improvement? Speaker: Kristian Sandahl, Linköping University Software Center brown bag seminar from September 6, 2021

Software Center brown bag seminar from August 30, organized by the AI engineering theme. The speaker is Aiswarya Raj, PhD student at Chalmers: Abstract: A large volume of high-quality data is mission-critical for real-world AI applications. Data pipelines consolidate data from disparate sources into one common destination, enable quick data accessibility, and ensure consistent data quality, which is crucial for AI applications. Companies from all domains experience data quality issues