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An Information System Agnostic Environment for Reproducible Experiments

Designing reproducible experiments with information systems (IS) is a challenging task, mainly due to the complex nature of processes, vendor speciﬁc tools and the difﬁculty to ﬁnd an adequate abstraction level. While technical challenges (e.g. ﬁnding performance bottlenecks) can be investigated in detail using simpliﬁed near-life settings or purposive research prototypes, these approaches are not feasible in experiments concerned with IS used in complex environments and problem domains (e.g. governance, risk and compliance management) as the software often cannot be simpliﬁed without considerable effort or losing rigor. On the other hand, software used in such domains has almost never been designed by the vendors with researchers’ goals and needs in mind which makes their usage in experiments burdensome. To address this, we present the research prototype of an experimentation environment that simpliﬁes the creation of reproducible experiments around off-the-shelf information systems.