uPMT is aimed at researchers using microphenomenology interviews (also know as explicitation interviews) to study lived experience. It has been designed to help analyze the micro-dynamics of experience as described in interview transcriptions, by modelling and formalizing the sequential unfolding of "experience moments" described with categories and properties, and linked to the descriptemes - excerpts of the transcript - that justify them.
Current work is carried out by Xavier Tremillon, Yahuan Chen and Nathan Seva. The first version of the software was implemented by Corentin Jezequel in late 2017, under the supervision of Yannick Prié and Thomas Rabeyron. Gwenaelle Gouriten, Salma Hichami and Othman Houmair have developped the project development in 2019. Version 0.1 to 0.3 were implemented by Mehdi Haddad, with the help of Eva Boon and Yinxing Huang, under the supervision of Yannick Prié.
Download the latest version at: https://github.com/yprie/uPMT/releases
Read documentation at: https://github.com/yprie/uPMT/wiki
Report bugs and ask for features at: https://github.com/yprie/uPMT/issues
See the LICENSE file for license rights and limitations (GNU GPLv3).