Mutation testing is the state-of-the-art technique for assessing the fault detection capacity of a test suite. Unfortunately, a full mutation analysis is often prohibitively expensive. The CppCheck project for instance, demands a build time of 5.8Â min and a test execution time of 17Â s on our desktop computer. An unoptimised mutation analysis, for 55,000 generated mutants took 11.8Â days in total, of which 4.3Â days is spent on (re)compiling the project. In this paper, we present a feasibility study, investigating how a number of optimisation strategies can be implemented based on the Clang front-end. These optimisation strategies allow to eliminate the compilation and execution overhead in order to support efficient mutation testing for the C language family. We provide a proof-of-concept tool that achieves a speedup of between 2 (Formula presented.) and 30 (Formula presented.). We make a detailed analysis of the speedup induced by the optimisations, elaborate on the lessons learned and point out avenues for further improvements.