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X-WR-CALDESC:Events for Software Center
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DTSTART;TZID=Europe/Stockholm:20260410T130000
DTEND;TZID=Europe/Stockholm:20260410T140000
DTSTAMP:20260523T184054
CREATED:20260421T192530Z
LAST-MODIFIED:20260421T192530Z
UID:10966-1775826000-1775829600@www.software-center.se
SUMMARY:Show & tell: AI for Testing: From Proof of Concept to Productification & PoC to Failures
DESCRIPTION:In this session\, we’ll take an engaging journey through real-world lessons learned while bridging the gap between AI-powered testing prototypes and robust\, production-ready solutions. I’ll discuss the practical challenges that arise when moving from proof of concept (PoC) to full productification\, including the hurdles faced and some failed PoCs that provided invaluable insights. We’ll dive into topics such as strategic test case selection\, tackling the notorious challenge of flaky tests\, automated test case generation\, and fault classification using AI. The talk will also explore how an AI data lake can accelerate testing workflows. Demos will bring these concepts to life\, showcasing automation in action and demonstrating how these innovations are shaping the future of software testing.
URL:https://www.software-center.se/event/ai-for-testing-from-proof-of-concept/
LOCATION:Virtual meeting\, Sweden
CATEGORIES:Seminar
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260410T130000
DTEND;TZID=Europe/Stockholm:20260410T140000
DTSTAMP:20260523T184054
CREATED:20260421T194652Z
LAST-MODIFIED:20260421T194652Z
UID:10978-1775826000-1775829600@www.software-center.se
SUMMARY:Show & tell: Ericsson
DESCRIPTION:This spring\, we are excited with a series of online events where companies present their experiences of AI.\n\nOn April the 3rd\, we have Azeem Ahmad from Ericsson Linköping\, who will present their experiences with AI.
URL:https://www.software-center.se/event/show-tell-ericsson/
LOCATION:Virtual meeting\, Sweden
CATEGORIES:Seminar
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260416
DTEND;VALUE=DATE:20260418
DTSTAMP:20260523T184054
CREATED:20260421T194950Z
LAST-MODIFIED:20260421T194950Z
UID:10980-1776297600-1776470399@www.software-center.se
SUMMARY:Grundfos AI Day
DESCRIPTION:
URL:https://www.software-center.se/event/grundfos-ai-day/
LOCATION:Grundfos\, Bjerringbro\, Denmark\, Denmark
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260424T090000
DTEND;TZID=Europe/Stockholm:20260424T110000
DTSTAMP:20260523T184054
CREATED:20260402T103027Z
LAST-MODIFIED:20260402T103027Z
UID:10694-1777021200-1777028400@www.software-center.se
SUMMARY:Quality assurance for machine-learning programs and notebooks
DESCRIPTION:We are pleased to invite you to an open workshop presenting our ongoing research project\, conducted in collaboration with WASP\, on quality assurance for machine-learning (ML) programs and notebooks. \nMachine-learning software differs fundamentally from traditional software in development practices\, organizational roles\, and strong dependency on training data. However\, software quality assurance (QA) aiming to ensure robustness\, maintainability\, and functional correctness is much less established than those for engineering traditional software. \nIn this project\, we explore how static analysis can be enhanced by (i) leveraging run-time information available in notebooks\, and (ii) exploring and evaluating algorithmic choices and data-processing steps in ML pipelines with (aggregated) properties of the datasets used for training and evaluation. \nWe will showcase (1) a public benchmark of typical ML-notebook failures with verified fixes\, (2) crash predictor for ML notebooks using large language models (LLMs)\, and (3) a data-aware static analyzer tool for detecting silent bugs caused by mismatches between datasets and pipeline operations. \nThe workshop will include: \n– Presentation of project goals and key findings \n– Demonstration of the prototype tools in action \n– Discussion of future research directions and industrial challenges and needs \nThis is an open workshop; the Software Center NDA does not apply.
URL:https://www.software-center.se/event/quality-assurance-for-machine-learning-programs-and-notebooks/
LOCATION:MS Teams
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260429T130000
DTEND;TZID=Europe/Stockholm:20260429T140000
DTSTAMP:20260523T184054
CREATED:20260421T192222Z
LAST-MODIFIED:20260421T193723Z
UID:10964-1777467600-1777471200@www.software-center.se
SUMMARY:Show & tell: Compliance with Standards — An Agentic Approach
DESCRIPTION:Compliance with Standards — An Agentic Approach \nThis presentation argues that ensuring product compliance with large standards organizations becomes unmanageable when handled manually\,\ndue to the sheer scale of standards and their heterogeneous formats\, while simultaneously demanding rigorous traceability\, coverage\, and compliance. \nTo address this challenge\, we introduce an AI-assisted\, agentic workflow that treats standards as a searchable corpus and applies a structured pipeline to support requirements engineering at scale. \nTwo methods are presented: a standards-to-coverage approach\, which narrows the relevant standard scope\, summarizes key content\, and flags gaps; and a requirements extraction approach\, which identifies and surfaces candidate requirements for validation.
URL:https://www.software-center.se/event/compliance-with-standards/
LOCATION:Virtual meeting\, Sweden
CATEGORIES:Seminar
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
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