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

TL;DR

ProMoTA is an Eclipse-based framework that integrates end-to-end traceability with process modeling, supporting global traceability analysis across model transformations and code generation in MDE workflows.

Contribution

It introduces a comprehensive approach combining process modeling, automated execution, and traceability analysis, extending Acceleo with local traceability support and global traceability mapping.

Findings

Supports global traceability from models to code

Extends Acceleo with local traceability features

Demonstrated with a Wireless Sensor Network IoT application

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.