R
Raian Ali
Researcher at Khalifa University
Publications - 179
Citations - 2793
Raian Ali is an academic researcher from Khalifa University. The author has contributed to research in topics: Requirements engineering & Computer science. The author has an hindex of 23, co-authored 149 publications receiving 2171 citations. Previous affiliations of Raian Ali include University of Limerick & University of Portsmouth.
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Journal ArticleDOI
A goal-based framework for contextual requirements modeling and analysis
TL;DR: Context goal models to relate goals and contexts; context analysis to refine contexts and identify ways to verify them; reasoning techniques to derive requirements reflecting the context and users priorities at runtime; and design time reasoning techniquesto derive requirements for a system to be developed at minimum cost and valid in all considered contexts are introduced.
Proceedings ArticleDOI
The four pillars of crowdsourcing: A reference model
TL;DR: A taxonomy is meant to represent the different configurations of crowdsourcing in its main four pillars: the crowdsourcer, the crowd, the crowdsourced task and the crowdsourcing platform.
Journal ArticleDOI
The Crowd in Requirements Engineering: The Landscape and Challenges
Eduard C. Groen,Norbert Seyff,Raian Ali,Fabiano Dalpiaz,Joerg Doerr,Emitza Guzman,Mahmood Hosseini,Jordi Marco,Marc Oriol,Anna Perini,Melanie Stade +10 more
TL;DR: Current research topics in CrowdRE are presented; the benefits, challenges, and lessons learned from projects and experiments are discussed; and how to apply the methods and tools in industrial contexts are assessed.
Journal ArticleDOI
Crowdsourcing: A Taxonomy and Systematic Mapping Study
TL;DR: A taxonomy of features which characterize crowdsourcing in its four constituents is extracted, providing a reference model which could be used to configure crowdsourcing and also define it precisely and make design decisions on which of its variation to adopt.
Journal ArticleDOI
Reasoning with contextual requirements: Detecting inconsistency and conflicts
TL;DR: A set of automated analysis mechanisms to support the requirements engineers to detect and analyze modelling errors in contextual requirements models to avoid developing unusable and unwanted functionalities and functionalities which lead to conflicts when they operate together.