Assisting Mentors in Selecting Newcomers’ Next Task in Software Product Lines: A Recommender System Approach

An Architectural Framework for Expert Identification Based on Social Network Analysis

“…The evolution of social networks can be described by analyzing them based on some aspects over time, e.g., shared activities, members' associations, the similarity between individuals' attributes, and the closure of network cycles [Yang et al 2016]. When using machine learning models on evolutionary data, the authors in [Medeiros et al 2022] demonstrated that identifying experts by observing their temporal activity outperforms models that use static data snap-shots. In [Horta et al 2019], a temporal analysis performed on overlapping communities showed that overlapping nodes might be associated with either multidisciplinary developers collaborating on different technologies simultaneously or changing their interests.…”