Authors are invited to submit short papers or long papers. Long papers (max. 10 pages) should describe novel and innovative contributions to the field of model transformation analysis. Short papers (max. 6 pages) can present:

• industrial feedback: industrial participants may contribute research agendas, experience reports or case studies involving the analysis of model transformations in an industrial setting;
• work envisioned or in-progress: researchers new to the field may submit extended abstracts about work they are planning to do or are currently doing;
• tools: these submissions discuss tools (or their use) that are at least partially used for the analysis of model transformations.

All papers must be written in English, and should adhere to the LNCS template. Accepted papers will appear as CEUR workshop proceedings, which is indexed by DBLP; each workshop will have its own volume, with the common ISSN of the CEUR series. Submissions will be handled using Easychair and reviewed by at least three PC members.