M
M. Usman Iftikhar
Researcher at Linnaeus University
Publications - 20
Citations - 826
M. Usman Iftikhar is an academic researcher from Linnaeus University. The author has contributed to research in topics: Software system & Runtime verification. The author has an hindex of 11, co-authored 20 publications receiving 687 citations. Previous affiliations of M. Usman Iftikhar include University of Copenhagen Faculty of Science.
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Proceedings ArticleDOI
A survey of formal methods in self-adaptive systems
TL;DR: The study shows that the attention for self-adaptive software systems is gradually increasing, but the number of studies that employ formal methods remains low, and there is a need for light-weight tools to support runtime verification.
Proceedings ArticleDOI
ActivFORMS: active formal models for self-adaptation
M. Usman Iftikhar,Danny Weyns +1 more
TL;DR: The proposed Active FORmal Models for Self-adaptation (ActivFORMS) is an integrated formal model of the adaptation components and knowledge models that supports dynamic adaptation of the active model to support changing goals.
Proceedings ArticleDOI
Claims and supporting evidence for self-adaptive systems: a literature study
TL;DR: A literature study of the research results from SEAMS since 2006 and the associated Dagstuhl seminar in 2008 shows that the primary claims of self-adaptation are improved flexibility, reliability, and performance of the system.
Posted Content
Engineering Trustworthy Self-Adaptive Software with Dynamic Assurance Cases.
TL;DR: The experimental results show that ENTRUST can be used to engineer self-adaptive software systems in different application domains and to generate dynamic assurance cases for these systems.
Proceedings ArticleDOI
Model-Based Simulation at Runtime for Self-Adaptive Systems
Danny Weyns,M. Usman Iftikhar +1 more
TL;DR: A novel modular approach for decision making in self-adaptive systems that combines distinct models for each relevant quality with runtime simulation of the models that enables efficient decision making to select an adaptation option that satisfies the system goals.