New book release about Feature Models!

Doctors, Product lines, Projects
We've been given a pair of good news this last week regarding our lab cofounder Dr. David Benavides, who has been elected as Coordinador del programa de doctorado de ingeniería informática de la Universidad de Sevilla (Computer Engineering PhD Degree Coordinator), as well as given the greenlight from Springer for his first book publishing. And it gets even better than that: it's open access, what basically means it's free! Feature Models: AI-Driven Design, Analysis and Applications will surely clarify all concerns about variability systems and its modeling and restriction creation using Artificial Intelligence, as well as provide a basic introduction to analysis and notation. Congratulations Dr. Benavides for your new book and position!
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A New Paper Accepted in JSS!

Paper news, Product lines
Today we bring good news, as a new paper from our group has been accepted this week in the Journal of Systems and Software. Titled "Variability management and software product line knowledge in software companies", it documents an empirical study conducted in over 100 companies to discover their needs and knowledge about software product lines. The study was carried out by our colleagues David Benavides Cuevas and Antonio Manuel Gutiérrez Fernández, our new member. Among the findings, it was discovered that there is a greater need for variability management than for knowledge about the technology. If you are interested in learning more, you can access this link.
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Diverso Lab paper on Open Source Performance Project reaches Top 10 Downloads

Paper news
This week, a paper authored by members of Diverso Lab secured a spot on the Top 10 Downloads page at the Social Science Research Network (https://www.ssrn.com) within the Software Engineering eJournal section. Titled "A Performance Evaluation Model for DevOps Practices on Open Source Software Projects," the paper was posted on October 17th and has reached the 9th position over the past 60 days. This paper proposes an alternative method to measure project performance levels through reports from different methods and puts it in comparison with DORA metrics reports, which cannot be directly applied to OSS projects. This paper is available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4605131
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