Presentation by Dr. Iris Reinhartz-Berger from the University of Haifa about her research (14/11/2016)

Dr. Iris Reinhartz-Berger present her work titled .

Domain models are representations of areas of knowledge that use common concepts for describing phenomena, requirements, problems, capabilities, and solutions. Domain modeling is time consuming and error prone. Variability analysis plays an important role in creating comprehensive domain models automatically or semi-automatically. In this talk I will review the challenges in automating domain modeling and discuss how variability analysis can contribute. Specifically, I will concentrate on an ontological and semantic approach which examines software behaviors and use them to analyze the variability, as well as commonality, of the domain of discourse. A tool named SOVA – Semantic and Ontological Variability Analysis – will be presented. The tool utilizes software requirements, test cases, and code to conduct the required analyses.