Abstract
Recently, software products have played a vital role in our daily lives, having a significant impact on industries and the economy. Software product line engineering is an engineering strategy that allows for the systematic reuse and development of a set of software products simultaneously, rather than just one software product at a time. This strategy mainly relies on features composition to generate multiple new software products. Unwanted feature interactions, where the integration of multiple feature implementations hinders each other, are challenging in this strategy. This leads to performance degradation, and unexpected behaviors may happen. In this article, we propose an approach to detect and visualize all feature interactions early. Our approach depends on an unsupervised clustering technique called formal concept analysis to achieve the goal. The effectiveness of the proposed approach is evaluated by applying it to a large and benchmark case study in this domain. The results indicate that the proposed approach effectively detects and visualizes all interacted features. Also, it saves developer efforts for detecting interacted features in a range between 67% and 93%.