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arXiv · 2605.01042

ProMoTA: a model-driven framework for end-to-end traceability analysis

Sadaf Mustafiz·Marko Mijalkovic·Moharram Challenger
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Abstract

In this paper, we propose an approach that integrates end-to-end traceability with process modelling. OurprocessmodelsrepresentMDEworkflowsthatspan platform-independent-modelling, platform-specificmodelling, andcodegenerationphases. Processexecutionisautomated using megamodels and model transformation chains. The generation of end-to-end traceability information enables global model traceability, from high-level input models to generated code, forming the basis for traceability analysis. We have built an Eclipse-based framework, ProMoTA, to support our approach. ProMoTA extends the Acceleo model transformation language, introducing local traceability support. It also includes a global traceability map generator and end-to-end traceability analysis modules, providing users with a holistic view of the entire transformation process. Our framework is demonstrated with the use of a Wireless Sensor Network-Based IoT application.

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Sadaf Mustafiz, Marko Mijalkovic, Moharram Challenger. 2026-05-01. ProMoTA: a model-driven framework for end-to-end traceability analysis. https://arxiv.org/abs/2605.01042

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