J
Jaejoon Lee
Researcher at Lancaster University
Publications - 72
Citations - 3129
Jaejoon Lee is an academic researcher from Lancaster University. The author has contributed to research in topics: Software product line & Software development. The author has an hindex of 20, co-authored 63 publications receiving 3024 citations. Previous affiliations of Jaejoon Lee include Pohang University of Science and Technology & University of East Anglia.
Papers
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Journal ArticleDOI
FORM: A feature-oriented reuse method with domain-specific reference architectures
TL;DR: In this article, the authors propose a feature model that captures commonality as an AND/OR graph, where AND nodes indicate mandatory features and OR nodes indicate alternative features selectable for different applications, and it is used to define parameterized reference architectures and appropriate reusable components instantiatable during application development.
Journal ArticleDOI
Feature-oriented product line engineering
TL;DR: The article illustrates, with a home integration system example, how FORM brings efficiency into product line development.
Book ChapterDOI
Concepts and Guidelines of Feature Modeling for Product Line Software Engineering
TL;DR: The concept of features and the goals of feature modeling are clarified, practical guidelines for successful product line software engineering are provided, and the authors have extensively used feature modeling in several industrial product line projects.
Journal ArticleDOI
Effect of the Anchoring Group in Ru−Bipyridyl Sensitizers on the Photoelectrochemical Behavior of Dye-Sensitized TiO2 Electrodes: Carboxylate versus Phosphonate Linkages
TL;DR: The effects of the number of anchoring groups in Ru-bipyridyl complexes on their binding to TiO(2) surface and the photoelectrochemical performance of the sensitized TiO (2) electrodes were systematically investigated.
Proceedings ArticleDOI
A feature-oriented approach to developing dynamically reconfigurable products in product line engineering
Jaejoon Lee,Kyo C. Kang +1 more
TL;DR: A feature-oriented approach to develop dynamically reconfigurable core assets is proposed, which takes feature binding analysis results as a key design driver for identifying and managing variation points of dynamically reconfigured products.