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Software is an important part of industrial process control systems. However, the state-of-the-practice for developing industrial process control software still has several key challenges that need to be addressed (e.g., migration to platforms of different vendors, lack of automation). This paper introduces a model-driven engineering approach to the development of industrial process control software, which is based on the ProcGraph domain-specific modeling language. The paper discusses and offers solutions to several of the development challenges that have not been addressed by existing techniques in the process controls domain. The contributions of the paper are a model-driven engineering approach for the industrial process control domain and a supporting tool infrastructure. The approach is demonstrated by a case study focused on the development of a control system for a TiO2 (titanium dioxide) pigment production subprocess.