Functional paleontology: system evolution as the user sees it
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Functional Paleontology: The Evolution of User-Visible System Services
IEEE Transactions on Software Engineering
Toward a method for privacy vulnerability analysis
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Scenario-Based Assessment of Nonfunctional Requirements
IEEE Transactions on Software Engineering
A survey of architecture design rationale
Journal of Systems and Software
Requirements change: Fears dictate the must haves; desires the won't haves
Journal of Systems and Software
Experimental evaluation of a lightweight method for augmenting requirements analysis
Proceedings of the 1st ACM international workshop on Empirical assessment of software engineering languages and technologies: held in conjunction with the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE) 2007
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Editorial: Design decisions and design rationale in software architecture
Journal of Systems and Software
Specifying reuse concerns in agent system design using a role algebra
NODe'02 Proceedings of the NODe 2002 agent-related conference on Agent technologies, infrastructures, tools, and applications for E-services
Modeling rationale over time to support product line evolution planning
Proceedings of the Sixth International Workshop on Variability Modeling of Software-Intensive Systems
Ethics and Information Technology
REUBI: A Requirements Engineering method for ubiquitous systems
Science of Computer Programming
Design rationale capture for process improvement in the globalised enterprise: an industrial study
Software and Systems Modeling (SoSyM)
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ScenIC is a requirements engineering method for evolving systems. Derived from the Inquiry Cycle model of requirements refinement, it uses goal refinement and scenario analysis as its primary methodological strategies. ScenIC rests on an analogy with human memory: semantic memory consists of generalizations about system properties; episodic memory consists of specific episodes and scenarios; and working memory consists of reminders about incomplete refinements. Method-specific reminders and resolution guidelines are activated by the state of episodic or semantic memory. The paper presents a summary of the ScenIC strategy and guidelines.