ProMoTA: a model-driven framework for end-to-end traceability analysis
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| Main Authors: | , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866914526001102848 |
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| author | Mustafiz, Sadaf Mijalkovic, Marko Challenger, Moharram |
| author_facet | Mustafiz, Sadaf Mijalkovic, Marko Challenger, Moharram |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2605_01042 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ProMoTA: a model-driven framework for end-to-end traceability analysis Mustafiz, Sadaf Mijalkovic, Marko Challenger, Moharram Software Engineering 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. |
| title | ProMoTA: a model-driven framework for end-to-end traceability analysis |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2605.01042 |