ABCEFGHI
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TitleColloquium / BegleitseminarType of talkAttendance
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TimeKOLL takes place on the Tuesday morning closest to any of these four dates: January 15th; March 31st; July 15th; September 30thThesis defense: 30 min + 15 min for questionsOptional, free for all
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Locationvia zoom links as stated belowConference dry run: 25 min + 20 for questionsOptional, free for all
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Contactkoll-team@group.riehle.org Start-up pitch: max 30 min (15-20 ideal) + discussionOptional, free for all
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This dochttp://goo.gl/t5CW6Language of talk should be language of submitted thesisOptional, free for all
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Writer's workshopInvite only
Students interested in research papers may observe
For invitation - write to oss-koll@group.riehle.org
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#DateTimeSpeakerTypeTitleAbstractLink
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OSS-KOLL #1 SS 2026
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OSS-KOLL #2 SS 2026
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2Via Zoom
https://fau.zoom-x.de/j/67040150268?pwd=MRHZ3u50TyCLB9qf00SAnZtmY6bDbD.1
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2026-07-1410:00Sara Pervana (Dirk)A Web Service Frontend for Archiving and Providing QDA ArtifactsComputer-Assisted Qualitative Data Analysis Software (CAQDAS) such as MAXQDA, NVivo, and ATLAS.ti, enable researchers to analyze, organize, and code qualitative research data. The resulting Qualitative Data Analysis (QDA) artifact contains not only primary research data, such as interview transcripts, but also analytical information including annotations, code systems, and other metadata generated throughout the research process. These artifacts are of significant scientific value but are commonly stored in proprietary file formats that limit the interoperability between different CAQDAS tools and complicate their long-term preservation, reuse, and accessibility. Existing research repositories generally treat such artifacts as ordinary files, neither exposing nor supporting their internal structure. QDArchive is an ongoing research project that addresses these challenges by providing a web-based platform for archiving, managing, and sharing QDA artifacts. This platform seeks to support researchers and reviewers by enabling long-term preservation and improving accessibility of qualitative research data while promoting interoperability through standardized formats. This thesis investigates,designs, and implements the first frontend prototype of the QDArchive platform. The developed frontend supports the core functionalities of user authentication, project management, artifact upload and download, and archive exploration. The frontend was implemented using modern web technologies, including Next.js, React, TypeScript, and Material UI, by providing a scalable and maintainable interface for interacting with the underlying QDArchive services. The resulting prototype shows the feasibility of
providing an intuitive and accessible interface for managing qualitative research artifacts within QDArchive. Finally, the implemented functionality is evaluated against the initial and evolving system requirements, therefore providing a foundation for future
development of the platform and supporting the long-term goal of preserving qualitative research artifacts in an interoperable and reusable manner.
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10:45Lennart Heimbs (JH)MasterContinuous Performance Bench
marking and Optimization of an
ETL Data Pipeline		Software engineering teams rely on development data for productivity measurement, transfer pricing, and impact assessment. Tools for this analysis typically extract the raw data from platforms like GitHub, GitLab, or Jira. The MECOIS project’s ETL pipeline handles the analysis of the data and follows the medallion architecture with Bronze, Silver, and Gold layers. Over time, the pipeline has grown without performance instrumentation, leaving regressions and inefficiencies unattributable to specific changes. To close the gap, this thesis introduces a benchmarking framework and demonstrates it by optimizing an identified bottleneck. The framework uses three measurement tiers of varying granularity to capture pipeline performance at different scopes. Eight benchmarks built on these tiers record each measurement against a stored baseline, attributing performance changes to specific code revisions. Alongside the framework, the Bronze-to-Silver transition’s identity resolution adopts GraphQL-based alias batching and Spark partition-level execution. This speeds up the transition by 2.93× and reduces external SortingHat requests by 99%. Across the full pipeline, this yields a 1.07× end-to-end speedup, with the framework’s measurements identifying extraction, rather than identity resolution, as the dominant runtime cost. Beyond the demonstration, the framework runs in the project’s CI to detect regressions before they reach production.
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11:30Ediz Kozak (TW)MasterClassification of Software Developer Contributions
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12:15Maximilian Krug (MW)MasterSCA Tool Admin Business Intelligence AppSCA Tool is a university-led project that focuses on license compliance and Software Bill of Materials (SBOM) management. The system lacks the capability to analyze usage data and product-related metrics. Such an analysis is needed for data-driven decision-making for the continuous project and product development.

This thesis addresses this issue and implements the Business Intelligence (BI) system for SCA Tool. The system utilizes Extract, Transform, Load (ETL) pipelines; these extract the data from the production environment. Then transforms the data into time-series metrics before loading the metrics into the data warehouse. Finally, the data is visualized using charts and dashboards.

The system was built using an agile iterative approach to development and is ready to be integrated into the main deployment of SCA Tool. This system is capable of calculating 23 business metrics and implements the end-to-end process from production data to visual dashboards. The current system is limited by the fact that it is not integrated into the main production system. Therefore, no metrics were calculated on the production data, and no performance analysis is conducted.
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OSS-KOLL #3 SS 2026
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3Via Zoom
https://fau.zoom-x.de/j/67040150268?pwd=MRHZ3u50TyCLB9qf00SAnZtmY6bDbD.1
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2026-09-1510:00André Kupfer (TW)Bachelor
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10:45Arezoo Shafayani (TW)Master
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11:30Tobias Kaiser (JH)Master
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12:15Roman GaillerBachelor
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13:00Christoph KlingenbergMaster
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