Feature Models: Ai-Driven Design, Analysis and Applications

Alexander Felfernig is Full Professor at the Graz University of Technology. Together with his colleagues, he focuses on various research areas including recommender systems, knowledge-based configuration, software product lines, model-based diagnosis, and machine learning. Specifically, his research revolves around the utilization of recommender systems and machine learning within configuration and product line contexts, aligning closely with the central theme of the book.

Andreas Falkner is the Principal Key Expert for Configuration & Planning at Siemens' technology field of Data Analytics and Artificial Intelligence. Since 1992 he has been developing product configurators for technical systems of various Siemens divisions. Currently he is involved in projects aiming at improving configuration processes and tools, especially by applying data-driven and generative AI and integrating sustainability metrics over the whole product life cycle.

David Benavides is Full Professor of Software Engineering and leads the Diverso Lab at the University of Seville. He is in the direction board of UVL (Universal Variability Language, a community effort towards a unified language for variability models), UVLHUb (an open science repository for feature models written in UVL) and flama (a variability analysis tool written in Python). His main research interests include software product lines, feature modelling, variability-intensive systems, computational thinking and libre and open-source software development.

Alexander Felfernig是格拉茨科技大學的全職教授。他與同事們一起專注於多個研究領域，包括推薦系統、基於知識的配置、軟體產品線、基於模型的診斷和機器學習。具體而言，他的研究圍繞在配置和產品線的背景下利用推薦系統和機器學習，與本書的核心主題密切相關。

Andreas Falkner是西門子數據分析和人工智能技術領域的配置和計劃主要專家。自1992年以來，他一直在開發各種西門子部門的技術系統的產品配置器。目前，他參與旨在改善配置流程和工具的項目，特別是通過應用數據驅動和生成式人工智能以及整合整個產品生命周期的可持續性指標。

David Benavides是塞維利亞大學的軟體工程全職教授，並領導Diverso實驗室。他是UVL（通用可變性語言，一個統一的可變性模型語言的社區努力）的指導委員會成員，也是UVLHUb（一個用UVL編寫的特徵模型的開放科學存儲庫）和flama（一個用Python編寫的可變性分析工具）的成員。他的主要研究興趣包括軟體產品線、特徵建模、可變性密集型系統、計算思維和自由和開源軟體開發。