N
Nenad Medvidovic
Researcher at University of Southern California
Publications - 268
Citations - 14510
Nenad Medvidovic is an academic researcher from University of Southern California. The author has contributed to research in topics: Software architecture & Software system. The author has an hindex of 54, co-authored 265 publications receiving 13972 citations. Previous affiliations of Nenad Medvidovic include University of California, Irvine.
Papers
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Modeling Software Architectures in UML
TL;DR: The basic promise of software architecture research is that better software systems can result from modeling their important aspects during, and especially early in the development, using a family of models that span and relate the issues of concern.
Book ChapterDOI
A framework for ensuring and improving dependability in highly distributed systems
TL;DR: In this paper, the authors present an extensible framework that guides the design and development of solutions for this type of problem, enables the extension and reuse of the solutions, and facilitates autonomic analysis and redeployment of a system's deployment architecture.
Proceedings ArticleDOI
ViVA: a visualization and analysis tool for distributed event-based systems
TL;DR: This paper presents Visualizer for eVent-based Architectures, ViVA, a tool that effectively visualizes the large number of messages and dependencies that can be exchanged between components and the order in which the exchange of messages occur.
Patent
Extensible collaborative software modeling
Nenad Medvidovic,Jae Young Bang,Daniel Popescu,George Edwards,Srinivas Padmanabhuni,Girish Maskeri Rama,Naveen Kulkarni +6 more
TL;DR: In this article, the authors describe a system where multiple architects concurrently create and modify a model of computer software, each on their own client at a different location, and each change that is made to a model is forwarded to a server for analysis.
Journal ArticleDOI
Revisiting the Anatomy and Physiology of the Grid
TL;DR: This paper revisits the widely cited DSSA for the domain of grid computing and significantly refined the original grid DSSA, demonstrating that this DSSA much more closely matches the grid technologies studied.