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Theme 3 (Metrics) invites to the next brown bag seminar about the machine learning-related topics. This week we have Khaled Al-Sabbagh presenting his work on the reduction of class noise. Machine learning models have been increasingly used to support decision making in software engineering tasks. One example of its application is the optimization of test case selection in continuous integration. Among the challenges that hinders the application of machine learning |
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From operational data to business insights: It’s as much about mindset as it is about data Speaker: Iris Figalist (works as a Platform & Data Architect at Siemens, Munich and is also an industrial PhD student. Abstract: “It’s all about data” has become a common saying to strengthen the power it has in today’s world. Many software-intensive companies have started to collect operational data of their products deployed in production. |
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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 |
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The Software Center publication “Efficient and Effective Exploratory Testing of Large-Scale Software Systems” has been selected as one of ten papers for the Journal of Software and Systems “JSS Happy Hour” event in April. The papers are presented in a short video, and discussed by expert panelists. According to the Editor-in-Chiefs, the paper was selected “due to its high download statistics, its topic, and its overall quality”. The event is |
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Data Labeling: Industrial Challenges and Mitigation Strategies Labels are a prerequisite to perform supervised machine learning. However, in industrial contexts, data is often incomplete because labels are missing partially or entirely. Even if there exist manual, semi-automatic, and automatic techniques, such as crowdsourcing, active-learning (AL), and semi-supervised learning (SSL), we have seen that AL and SSL are rarely implemented due to lack of knowledge of their existence. Furthermore, labeling instances |
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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 |
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Most welcome to the next Brown Bag Seminar, hosted by Theme 1 (“Continuous Delivery”): Speaker: Daniel Ståhl We have all read the books, watched the movies and listened to the talks telling us how to succeed at continuous integration, continuous delivery and all things continuous. By all rights, this would seem to be a solved problem – and yet… In this brown bag seminar we turn the tables on the |
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In the context of project #43 on Process Debt, we are organizing a series of cross-company workshops led by Software Center companies. In this one, Grundfos will share their case on “improving the business value of process” and will be followed by a cross-company discussion. You are kindly invited to participate if interested! Also, feel free to invite any colleague who could be interested as well. Title Improving the business |
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