J
Jeff Kramer
Researcher at Imperial College London
Publications - 268
Citations - 18760
Jeff Kramer is an academic researcher from Imperial College London. The author has contributed to research in topics: Software system & Software development. The author has an hindex of 60, co-authored 267 publications receiving 18338 citations. Previous affiliations of Jeff Kramer include University of London & Queen's University.
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Proceedings ArticleDOI
Negative scenarios for implied scenario elicitation
TL;DR: A language for describing negative scenarios is defined and existing implied scenario detection methods with techniques for accommodating negative scenarios are complemented.
Book ChapterDOI
A Case Study in Goal-Driven Architectural Adaptation
TL;DR: This paper has developed an approach to constructing autonomous systems that synthesise tasks from high-level goals and adapt their software architecture to perform these tasks reliably in a changing environment.
Journal ArticleDOI
Determining the Impact of Software Engineering Research on Practice
TL;DR: The impact project provides a solid and scholarly assessment of the impact software engineering research has had on software engineering practice.
Proceedings Article
08031 -- Software Engineering for Self-Adaptive Systems: A Research Road Map
Betty H. C. Cheng,Holger Giese,Paola Inverardi,Jeff Magee,Rogério de Lemos,Jesper Andersson,Basil Becker,Nelly Bencomo,Yuriy Brun,Bojan Cukic,Giovanna Di Marzo Serugendo,Schahram Dustdar,Anthony Finkelstein,Cristina Gacek,Kurt Geihs,Vincenzo Grassi,Gabor Karsai,Holger M. Kienle,Jeff Kramer,Marin Litoiu,Sam Malek,Raffaela Mirandola,Hausi A. Müller,Sooyong Park,Mary Shaw,Matthias Tichy,Massimo Tivoli,Danny Weyns,Jon Whittle +28 more
TL;DR: In this article, the authors present a road map for software engineering of self-adaptive systems focusing on four views, which they identify as essential: requirements, modelling, engineering, and assurances.
Proceedings ArticleDOI
Plan-directed architectural change for autonomous systems
TL;DR: This work considers the challenges in providing an autonomous system with the capability to direct its own adaptation, and describes an initial implementation where change in the software architecture of anonomous system is enacted as a result of executing a reactive plan.