scispace - formally typeset
L

Ladan Tahvildari

Researcher at University of Waterloo

Publications -  91
Citations -  4630

Ladan Tahvildari is an academic researcher from University of Waterloo. The author has contributed to research in topics: Software system & Software quality. The author has an hindex of 29, co-authored 91 publications receiving 4308 citations.

Papers
More filters
Journal ArticleDOI

Self-adaptive software: Landscape and research challenges

TL;DR: A taxonomy of research in self-adaptive software is presented, based on concerns of adaptation, that is, how, what, when and where, towards providing a unified view of this emerging area.
Book ChapterDOI

Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

TL;DR: In this paper, the authors present the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems, focusing on four essential topics of selfadaptation: design space for selfadaptive solutions, software engineering processes, from centralized to decentralized control, and practical run-time verification & validation.
Journal ArticleDOI

The Effects of Time Constraints on Test Case Prioritization: A Series of Controlled Experiments

TL;DR: A series of experiments assess the effects of time constraints on the costs and benefits of prioritization techniques and shows that time constraints do play a significant role in determining both the cost-effectiveness of prioritized techniques and the relative cost-benefit trade-offs among techniques.
Book ChapterDOI

Cloud Computing Uncovered: A Research Landscape

TL;DR: A unified view of the Cloud Computing main concepts, characteristics, models, and architectures is presented and a landscape of research in Cloud Computing is presented by highlighting relevant disciplines and some diligent research projects to identify the underlying research gaps and elaborates on the corresponding challenges.
Journal ArticleDOI

Autonomic computing: emerging trends and open problems

TL;DR: A categorization of complexity in I/T systems and an overview of autonomic computing research area are presented and the underlying research issues and challenges are outlined from a practical as well as a theoretical point of view.