Software Product Line Engineering (SPLE) is a system- atic reuse approach to develop a short time-to-market and quality products, called Software Product Line (SPL). Usu- ally, the SPL is not developed from scratch but it is devel- oped by reusing features (resp. their source code elements) of existing similar systems developed by ad-hoc reuse tech- niques. The feature implementations may be changed for adapting SPLE context. The change may impact other fea- tures that are not interested in the change, as a feature’s implementation spans multiple code elements and shares code elements with other features. Therefore, feature-level Change Impact Analysis (CIA) is needed to predict affected features for change management purpose. In this paper, we propose a feature-level CIA technique using formal concept analysis. In our experimental evaluation using three case studies of different domains and sizes, we show the effec- tiveness of our technique in terms of the most commonly used metrics on the subject.