{"id":6634,"date":"2025-10-20T23:52:38","date_gmt":"2025-10-20T21:52:38","guid":{"rendered":"https:\/\/dbis.rwth-aachen.de\/dbis\/?p=6634"},"modified":"2026-01-15T14:07:31","modified_gmt":"2026-01-15T13:07:31","slug":"disco-ml-decision-interoperability-specification-conventions-for-operationalized-machine-learning","status":"publish","type":"post","link":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/disco-ml-decision-interoperability-specification-conventions-for-operationalized-machine-learning\/","title":{"rendered":"DISCO-ML: Decision Interoperability Specification Conventions for Operationalized Machine Learning"},"content":{"rendered":"\n<p>Sensor-based machine learning (ML) systems (such as predictive maintenance, environmental monitoring, and industrial automation) require scalable, explainable, and continuously evolving data infrastructures. The complexity of these systems lies not only in the technical pipeline (data ingestion, feature engineering, model training, deployment, monitoring) but also in the <em>design decisions<\/em> stakeholders make along the way. These decisions range from architectural trade-offs (edge vs. cloud processing), ethical considerations (data privacy, fairness), to explainability requirements and system scalability.<\/p>\n\n\n\n<p>While existing modeling techniques support documenting software architecture and data flows, there is no widely accepted notation that explicitly <em>captures<\/em>, <em>traces<\/em>, and <em>communicates<\/em> design decisions for sensor-based ML infrastructures in a way that is interpretable across diverse stakeholders (e.g., data scientists, system architects, domain experts, managers) and\/or machine-readable.<\/p>\n\n\n\n<p>This thesis aims to identify, compare, and develop suitable modeling notations and information structures that support the transparent documentation and communication of design decisions in sensor-based ML systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sensor-based machine learning (ML) systems (such as predictive maintenance, environmental monitoring, and industrial automation) require scalable, explainable, and continuously evolving data infrastructures. The complexity of these systems lies not only in the technical pipeline (data ingestion, feature engineering, model training, deployment, monitoring) but also in the design decisions stakeholders make along the way. These decisions [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[21],"tags":[],"class_list":["post-6634","post","type-post","status-publish","format-standard","hentry","category-thesis"],"acf":[],"_links":{"self":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/posts\/6634","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/comments?post=6634"}],"version-history":[{"count":4,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/posts\/6634\/revisions"}],"predecessor-version":[{"id":6833,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/posts\/6634\/revisions\/6833"}],"wp:attachment":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/media?parent=6634"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/categories?post=6634"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/tags?post=6634"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}