Mopsa is a Modular Open Platform for Static Analysis, whose goal is to encourage research and education in static analysis, by providing a fully-featured and extensible open-source platform and usable analyses built with it. In particular, analyses in Mopsa can reach a high expressivity, thanks to a framework allowing an extensive use of relational domains, which are able to infer linear constraints between variables. In this talk, we will see a brief overview of Mopsa, our main design decisions and the results we have able to obtain so far. Implementations of static analyzers are time-consuming to develop and to maintain, but necessary to enable building further research upon the implementation. This talk will present the tools and techniques we have come up with to simplify the maintenance of Mopsa. First, we describe an automated way to measure precision that does not require any manual inspection of the results, improves transparency of the analysis, and helps discovering regressions during continuous integration. Second, we have taken inspiration from standard tools observing the concrete execution of a program to design custom tools observing the abstract execution of the analyzed program itself, such as abstract debuggers and profilers. Finally, we report on some cases of automated testcase reduction.