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DTSTART;TZID=Europe/Stockholm:20220307T120000
DTEND;TZID=Europe/Stockholm:20220307T123000
DTSTAMP:20260524T132752
CREATED:20220306T151609Z
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UID:4470-1646654400-1646656200@www.software-center.se
SUMMARY:Lunch seminar: DevOps Multi-paradigm Automotive Software Development  
DESCRIPTION:Welcome to the next Software Center lunch seminar hosted by theme 2:\nDevOps Multi-paradigm Automotive Software Development   \nSpeaker: Alessio Bucaioni\, Mälardalen University \nIn the seminar\, we will discuss the main results of two research projects\, which aimed at improving timing predictability of multi-paradigm automotive software. In particular\, we will see how we used metamodeling and automation for developing a DevOps framework for the development of automotive software. The framework makes use of three different languages being EAST-ADL\, AMALTHEA\, RCM. \nMost welcome to the seminar and please share this invitation with your colleagues! \nBest regards\nJan Carlson \n\n\n_______________________________________________________\nMicrosoft Teams-möte\n\n\nJobba på datorn eller mobilappen\nKlicka här för att ansluta till mötet \n\n\nEller ring in (endast ljud)\n+46 8 505 218 36\,\,919176672#   Sweden\, Stockholm\n\nTelefonkonferens-ID: 919 176 672# \nHitta ett lokalt nummer | Återställ PIN-kod\nLäs mer | Mötesalternativ\n\n_______________________________________________________
URL:https://www.software-center.se/event/lunch-seminar-devops-multi-paradigm-automotive-software-development/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Jan Carlson":MAILTO:jan.carlson@mdh.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220314T120000
DTEND;TZID=Europe/Stockholm:20220314T123000
DTSTAMP:20260524T132752
CREATED:20220308T130013Z
LAST-MODIFIED:20220308T130013Z
UID:4486-1647259200-1647261000@www.software-center.se
SUMMARY:Lunch seminar: Comparing Input Prioritization Techniques for Testing Deep Learning Algorithms
DESCRIPTION:Welcome to the Software Center lunch seminar organized by theme 3:\nComparing Input Prioritization Techniques for Testing Deep Learning Algorithms \nSpeaker: Masilii Mosin\, Volvo Cars\, Associated Project DeVeLoP \nDeep learning (DL) systems are becoming more popular in modern software due to their ability to solve complex problems. For example\, they are used in safety-critical applications\, such as camera perception in self-driving cars. It is important to thoroughly test such DL systems by ensuring their correctness on the predefined test set. This is a challenging task in itself since the test sets can grow over time as the new data is being acquired. Therefore\, it becomes time-consuming to test the system on all test inputs. Thus\, input prioritization is necessary to reduce the testing time since prioritized test inputs are more likely to reveal the erroneous behavior of a DL system earlier during test execution. Also\, when testing only on the prioritized test inputs\, there is no need to label the rest of the test set\, thus reducing the total labeling cost. \nIn this study\, we compare test input prioritization techniques of different types in terms of their effectiveness and efficiency. In particular\, we consider surprise adequacy\, autoencoder-based\, and similarity-based input prioritization approaches on the example of testing a DL image classification algorithm applied on MNIST\, Fashion-MNIST\, CIFAR-10\, and STL-10 datasets. We use a modified APFD (Average Percentage of Fault Detected) as the test input prioritization performance measure to operationalize the effectiveness. We use the setup and execution time as a measure to operationalize the efficiency. We observe that the surprise adequacy approach is the most effective with the performance from 0.785 to 0.914 APFD. The autoencoder-based and similarity-based approaches are less effective with the performance from 0.532 to 0.744 APFD and from 0.579 to 0.709 APFD respectively. At the same time\, the similarity-based approach is the most efficient\, and the surprise adequacy approach is the least efficient. The findings in this work demonstrate the trade-off between the considered input prioritization techniques to understand their practical applicability for testing DL algorithms. \n_____________________________________________________\nMicrosoft Teams meeting \nJoin on your computer or mobile app \nClick here to join the meeting \nLearn More | Meeting options \n______________________________________________________
URL:https://www.software-center.se/event/lunch-seminar-4/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220321T120000
DTEND;TZID=Europe/Stockholm:20220321T123000
DTSTAMP:20260524T132752
CREATED:20220317T134423Z
LAST-MODIFIED:20220317T134455Z
UID:4509-1647864000-1647865800@www.software-center.se
SUMMARY:Lunch seminar: Transitioning to Continuous Deployment in Software-Intensive Embedded Systems
DESCRIPTION:The seminar is hosted by theme 4 (‘Customer Data and Ecosystems’) and as our speaker\, we have the privilege to welcome Anas Dakkak from Ericsson AB: \n“From fairy tale to reality: Transitioning to Continuous Deployment in Software-Intensive Embedded Systems”\nContinuous deployment has become a widespread practice in the software industry\, especially among companies developing web and cloud-based applications. The expected advantages of continuous deployment are many; however\, some of the most obvious are faster time to market\, quicker feedback\, and the ability to experiment with real users. While the same advantages are sought by companies working in the embedded software space\, adopting continuous deployment to software-intensive embedded systems is often challenging. Several reasons have been identified as obstacles limiting organizations from transitioning to continuous deployment\, such as high reliability and availability requirements\, difficulty to roll-back the software\, and the long cycle of customer acceptance and regression testing procedures. \nThis presentation will present the success factors that companies need to consider when transitioning to continuous deployment and show the perceived benefits\, based on a case study conducted at Ericsson AB. Ericsson has been practicing continuous deployment for several years in the radio baseband product line covering 3G\, 4G\, and 5G technologies. Continuous deployment is a cornerstone activity at Ericsson to enable higher quality software and shorting in the feedback and time to market. \nBio:\nAnas Dakkak is the head of customer support systems management at Ericsson AB. He has more than 15 years of experience in the telecommunication industry\, where he worked with a variety of areas such as R&D\, technical management\, and customer support. His interests cover agile methodologies\, continuous practices\, and systems architecture. Anas holds two MSc degrees: Telecommunications Engineering from Blekinge Tekniska Högskola\, and Operations & Production Management from Chalmers University.\n_______________________________ \n\nMicrosoft Teams meeting\n\nJoin on your computer or mobile app\nClick here to join the meeting \n\n\nOr call in (audio only)\n+46 8 505 252 11\,\,129250542#   Sweden\, Stockholm\n\nPhone Conference ID: 129 250 542# \nFind a local number | Reset PIN\nLearn More | Meeting options
URL:https://www.software-center.se/event/lunch-seminar-transitioning-to-continuous-deployment-in-software-intensive-embedded-systems/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Helena Holmstr%C3%B6m Olsson":MAILTO:helena.holmstrom.olsson@mau.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220328T120000
DTEND;TZID=Europe/Stockholm:20220328T123000
DTSTAMP:20260524T132752
CREATED:20220321T120500Z
LAST-MODIFIED:20220328T150815Z
UID:4704-1648468800-1648470600@www.software-center.se
SUMMARY:Lunch seminar: Engineering AI - Approaches to creating industrial strength and general AI
DESCRIPTION:Most welcome to next week’s Software Center lunch seminar on Monday\, March 28. \nThe seminar is hosted by theme 5 (AI Engineering) and as our speaker\, we have the privilege to welcome Daniel Gillblad\, director of CHAIR (Chalmers AI Research Center) (among other roles): Engineering AI – Approaches to creating industrial strength and general AI\, and how CHAIR and AI Sweden can contribute  \nWhile AI and Machine Learning continues to be applied in revolutionary new applications\, huge challenges remain in how we develop reliable and general applications that are really ready to be deployed in industry. We will discuss both how AI engineering and operations will become even more central to AI method development\, how engineering could be used as an approach to develop more general AI methods\, and how CHAIR (Chalmers AI Research Center) and AI Sweden could contribute to this development in Sweden. \nDaniel Gillblad is director of the Chalmers AI Research Center (CHAIR) and co-Director of Scientific Vision for AI Sweden. He holds a PhD in Computer Science from the Royal Institute of Technology\, has led development efforts and worked on strategy development for Swedish companies\, has been part of setting up several AI startups\, and serves as an appointed member of the Swedish Government collaboration program on digitalisation and as an appointed expert in the Global Partnership on AI (GPAI). His interests are focused around Machine Learning\, large-scale Data Mining and their practical applications. \n________________________________________________________________Microsoft Teams meeting \nJoin on your computer or mobile app \nClick here to join the meeting \nLearn More | Meeting options \n________________________________________________________________
URL:https://www.software-center.se/event/lunch-seminar-engineering-ai-approaches-to-creating-industrial-strength-and-general-ai/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Jan Bosch":MAILTO:jan.bosch@chalmers.se
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