Proceedings ArticleDOI
Towards modelling and reasoning support for early-phase requirements engineering
Reads0
Chats0
TLDR
This paper argues that a different kind of modelling and reasoning support is needed for the early phase of requirements engineering, which aims to model and analyze stakeholder interests and how they might be addressed, or compromised, by various system-and-environment alternatives.Abstract:
Requirements are usually understood as stating what a system is supposed to do, as apposed to how it should do it. However, understanding the organizational context and rationales (the "Whys") that lead up to systems requirements can be just as important for the ongoing success of the system. Requirements modelling techniques can be used to help deal with the knowledge and reasoning needed in this earlier phase of requirements engineering. However most existing requirements techniques are intended more for the later phase of requirements engineering, which focuses on completeness, consistency, and automated verification of requirements. In contrast, the early phase aims to model and analyze stakeholder interests and how they might be addressed, or compromised, by various system-and-environment alternatives. This paper argues, therefore, that a different kind of modelling and reasoning support is needed for the early phase. An outline of the i* framework is given as an example of a step in this direction. Meeting scheduling is used as a domain example.read more
Citations
More filters
Book ChapterDOI
Can Patterns Improve i* Modeling? Two Exploratory Studies
TL;DR: The findings suggest that applying model patterns can increase model coverage, but increases complexity, and may increase modeling effort depending on the experience of the modeler.
Journal ArticleDOI
On the Philosophical Foundations of Conceptual Models.
TL;DR: The paper addresses a number of foundational questions by proposing a characterization of conceptual models with respect to conceptual semantics and ontological commitments and positions its work w.r.t. to a “Reference Framework for Conceptual” modeling recently proposed in the literature.
Proceedings ArticleDOI
Towards modular i* models
Fernanda M. R. Alencar,Jaelson Castro,Márcia Lucena,Emanuel Santos,Carla Silva,João Araújo,Ana Moreira +6 more
TL;DR: The approach embodies a specific notation to represent and compose aspectual i* models, using aspect-orientation to address modularity and composition of crosscutting concerns.
Proceedings ArticleDOI
Analyzing trust in technology strategies
Jennifer Horkoff,Eric Yu,Lin Liu +2 more
TL;DR: This work uses the i* Modeling Framework to analyze the links between strategies and technologies in terms of a network of social intentional relationships and probes the intentions behind the strategies of technology providers, facilitating an analysis of trust.
Proceedings ArticleDOI
Strategic models for business intelligence
TL;DR: This paper focuses on three key concepts for strategic business models - situation, influence and indicator - and how they are used, in the context of goal modeling, to build and analyze business schemas based on goal and probabilistic reasoning techniques.
References
More filters
Book
The Sciences of the Artificial
TL;DR: A new edition of Simon's classic work on artificial intelligence as mentioned in this paper adds a chapter that sorts out the current themes and tools for analyzing complexity and complex systems, taking into account important advances in cognitive psychology and the science of design while confirming and extending Simon's basic thesis that a physical symbol system has the necessary and sufficient means for intelligent action.
Book
Reengineering the corporation: a manifesto for business revolution
Michael Hammer,James Champy +1 more
TL;DR: In this paper, the authors set aside much of the received wisdom of the last 200 years of industrial management and in its place presented a new set of organizing principles by which managers can rebuild their businesses.
Journal ArticleDOI
A field study of the software design process for large systems
TL;DR: A layered behavioral model is used to analyze how three of these problems—the thin spread of application domain knowledge, fluctuating and conflicting requirements, and communication bottlenecks and breakdowns—affected software productivity and quality through their impact on cognitive, social, and organizational processes.
Journal ArticleDOI
Goal-directed requirements acquisition
TL;DR: An approach to requirements acquisition is presented which is driven by higher-level concepts that are currently not supported by existing formal specification languages, such as goals to be achieved, agents to be assigned, alternatives to be negotiated, etc.