A Social Networking Approach to F/OSS Quality Assessment

Grounding alcohol simulation models in empirical and theoretical alcohol research: a model for a Northern Plains population in the United States

“…Effective strategies require considering the unique contexts of individual stages and the system of underlying mechanisms and external contexts facilitating long‐term behavioral stability or change (Hussong et al ., 2018; Witkiewitz et al ., 2019). As AU‐SD models are often used to identify and evaluate high‐efficacy strategies (Matson et al ., 2021; Tawileh et al ., 2008), findings can be further enhanced by accounting for “sensitive periods” within the AU continuum (e.g. leverage points for an optimal change).…”

“…Detail on data/information used for model structure rationale varied from thorough discussions of prior literature (Clapp et al ., 2018; Mubayi et al ., 2010) to minimal references (Tawileh et al ., 2008). Studies that utilized participatory model building often discussed professional and personal expertise; however, few studies mentioned participants' specific academic, professional, or personal expertise/experience with AU (Belue et al ., 2012; Deutsch et al ., 2021; Matson et al ., 2021).…”

An Investigation of the Users’ Perception of OSS Quality

“…In [6] Tawileh et al define a new approach for quality assessment of F/OSS projects based on social networking. They exploit the use of social networks of users formed around F/OSS projects, in order to collect data about the perception of OSS projects' quality and to make recommendations according to user preferences.…”

“…They exploit the use of social networks of users formed around F/OSS projects, in order to collect data about the perception of OSS projects' quality and to make recommendations according to user preferences. Unfortunately, no data about the user' perception of the quality of OSS projects are reported in [6]. In our work, we collect data through a more controlled environment than social networks (i.e., via questionnaires dispensed to OSS users); we statistically analyze the collected data and we report how users perceive the quality of a representative sample of Java and C++ OSS products.…”

Linking Software Development Phase and Product Attributes with User Evaluation: A Case Study on Games

“…However, the focus was end users, not developers [11]. The majority of the works that utilise social network analysis in software engineering research focus on the communication among the project team members since the collaboration is essential for requirements engineering [12,13].…”