The space of mathematical software systems -- A survey of paradigmatic systems K. Bercic, J. Carette, W. M. Farmer, M. Kohlhase, D. Mueller, F. Rabe, and Y. Sharoda 2020 Abstract Mathematical software systems are becoming more and more important in pure and applied mathematics in order to deal with the complexity and scalability issues inherent in mathematics. In the last decades we have seen a cambric explosion of increasingly powerful but also diverging systems. To give researchers a guide to this space of systems, we devise a novel conceptualization of mathematical software that focuses on five aspects: inference covers formal logic and reasoning about mathematical statements via proofs and models, typically with strong emphasis on correctness; computation covers algorithms and software libraries for representing and manipulating mathematical objects, typically with strong emphasis on efficiency; concretization covers generating and maintaining collections of mathematical objects conforming to a certain pattern, typically with strong emphasis on complete enumeration; narration covers describing mathematical contexts and relations, typically with strong emphasis on human readability; finally, organization covers representing mathematical contexts and objects in machine-actionable formal languages, typically with strong emphasis on expressivity and system interoperability. Despite broad agreement that an ideal system would seamlessly integrate all these aspects, research has diversified into families of highly specialized systems focusing on a single aspect and possibly partially integrating others, each with their own communities, challenges, and successes. In this survey, we focus on the commonalities and differences of these systems from the perspective of a future multi-aspect system. Our goal is to give new researchers, existing researchers from each of these communities, or outsiders like mathematicians a basic overview that enables them to match practical challenges to existing solutions, identify white spots in the software space, and to deepen the integration between systems and paradigms. CAVEAT: This paper is intended as a living survey that is updated in-place on http://arXiv.org from time to time. We publish this early as a pre-preprint to let the community discuss and maybe provide feedback to the authors at tetrapod@lists.informatik.uni-erlangen.de.