Trends like the Cloud, Internet of Things and 5G are pushing for an increase in connectivity, but, introducing a new type of network in an industrial distributed control system is a big investment with high risks. Time to market with sufficient quality is crucial. However, when getting through the Research and Development (R&D) phases, a lot of time is spent on isolated activates, e.g., simulations, collecting requirements, design, coding, debugging, creating testbeds, and performing various tests. Therefore, there is a need to improve efficiency when moving between the R&D phases. For verification and validation of communication software, the most common network evaluation method in industry are real testbeds, mostly since a testbed can be very similar to the deployed system. Testbeds are, however, hard to debug and costly to maintain. Other network evaluation methods like simulators, have some strengths that testbeds are lacking, like repeatability, control over the network, and lower cost. However, code from simulators can seldom be reused, especially in industrial time-sensitive target systems, due to different abstraction levels, run-time behavior and system timing. This paper presents findings from a case study that targets improved efficiency, getting from research theories, to deployed devices in a homogeneous Industrial Wireless Sensor and Actuator Network (IWSAN). We propose a small subset of network simulators features which eases changeability, reuse, and debugging of communication software. The selected simulator features are evaluated with a proof of concept implementation that is customized to a research platform. The findings indicate improved efficiency when moving back and forth between activities in different R&D phases.