While academia favours general research that is applicable to a large class of systems, this paper highlights the necessity of research into specific scenarios and aims to increase its acceptance in the real-time systems community. We argue that such research is not only motivated by greater applicability to industry, but that specialization can also provide valuable information from a purely academic perspective. In addition, the trade-offs between generalization and specialization are examined, considering not only theoretical performance, but also the impact on essential non-functional properties that are important for industry, namely composability, robustness, extensibility, and parametric simplicity.• Special Cases: When are special cases useful? Why is the exploration of special cases important and valuable?• General Cases: When are general cases useful? What should be considered when evaluating the quality of solutions and analyses for general cases? We motivate, and provide evidence for, a series of observations that distil the key differences between a focus on special rather than 1 This work covers a broad spectrum of topics related to real-time systems. We assume that the reader is familiar with basic concepts from the realtime systems literature, and therefore, to increase the reading flow, we do not introduce them in detail. Less common concepts and terminology related to a specific sub-problem are introduced in the appropriate section of the paper. A glossary of common real-time systems terminology can be found at https://site.ieee.org/tcrts/education/terminology-and-notation/.