To measure projects performance is available a wide range of methods which help project managers to effectively control the project progress and evaluate project results (Atkinson, 1999; Anantatmula, 2015). However remain several critical issues in their application: unbalanced development of KPIs types (Zidane, Johansen and Ekambaram, 2015), limited availability of leading KPIs (Kueng, Andres, and Wettstein, 2001), etc. Conversely, even if systems engineering measurement (SEM) is a more recent discipline, it offers very deep developments, published in several standards and Roedler, et al., 2010). In particular, SEM uses lagging (reactive) measurement and defines methods to promote leading (predictive) measurement which provides insights before a problem arises (INCOSE & PSM, 2005; Roedler, et al., 2010). To improve project success rate, we propose to improve the measurement of projects performance, on which decisions rely in project management. One way is to extend the indicators to measure project performance by indicators used to measure systems engineering performance. This paper thus considers transferring and adapting the good practices in SE performance measurement such as described in SE guides as well as the set of SE leading indicators (SELIs) defined in (Roedler, et al., 2010) to project performance measurement.