Testing variability-intensive systems

Abstract

Cost-effective techniques to test software in the presence of variability are popular in academia but are not systematically applied in practice yet. This half-day tutorial offers an overview of the state of the art of some of the hottest topics in the field such as (dis)similarity & search-based testing, model-based testing or mutation analysis. We will present the most significant results obtained during the last five years ranging from conceptual foundations to readily usable tools. In particular, we will rely on VIBeS, a model-based open source framework we developed to test product lines behaviour. We will illustrate all these concepts on JHipster, a variability-intensive web development stack.