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Ina Schaefer
Researcher at Braunschweig University of Technology
Publications - 250
Citations - 5396
Ina Schaefer is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Software product line & Software. The author has an hindex of 38, co-authored 219 publications receiving 4785 citations. Previous affiliations of Ina Schaefer include Max Planck Society & Information Technology University.
Papers
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Journal ArticleDOI
A Classification and Survey of Analysis Strategies for Software Product Lines
TL;DR: A classification of product-line analyses is proposed to enable systematic research and application in software-product-line engineering and develops a research agenda to guide future research on product- line analyses.
Book ChapterDOI
Delta-oriented programming of software product lines
TL;DR: This work proposes delta-oriented programming (DOP) as a novel programming language approach that compares it to FOP, both conceptually and empirically, and evaluates the potential of DOP.
Journal ArticleDOI
Evolution of software in automated production systems
TL;DR: In this article, the authors provide an interdisciplinary survey on challenges and state-of-the-art in evolution of automated production systems, and summarize future research directions to address the challenges of evolution in automated production system.
Evolution of software in automated production systems: Challenges and Research Directions
TL;DR: The authors from computer science and automation provide an interdisciplinary survey on challenges and state of the art in evolution of automated production systems and summarizing future research directions to address the challenges of evolution in automatedproduction systems.
Journal ArticleDOI
Software diversity: state of the art and perspectives
Ina Schaefer,Rick Rabiser,Dave Clarke,Lorenzo Bettini,David Benavides,Goetz Botterweck,Animesh Pathak,Salvador Trujillo,Karina Villela +8 more
TL;DR: This introductory article to the special section “Software Diversity—Modeling, Analysis and Evolution” provides an overview of the current state of the art in diverse systems development and discusses challenges and potential solutions.