10.18453/rosdok_id00002699 Zasada, Andrea Andrea Zasada http://d-nb.info/gnd/1213367425 https://orcid.org/0000-0001-6895-0131 Universität Rostock 2019 004 Data processing Computer sciences 330 Economics 2019 en http://purl.uni-rostock.de/rosdok/id00002699 urn:nbn:de:gbv:28-rosdok_id00002699-6 In this thesis, we evaluate the complexity and understandability of compliance languages. First, to calculate the complexity, we apply established software metrics and interpret the results with respect to the languages’ expressiveness. Second, to investigate the languages’ understandability, we use a cognitive model of the human problem-solving process and analyze how efficiently users perform a compliance modeling task. Our results have theoretical and practical implications that give directions for the development of compliance languages, and rule-based languages in general.