The following issues were collected during the presentations of the 2nd i* Workshop, 21-22 April 2005, in London, UK. Please feel free, to add your ideas/comments. If it turns out that some of the issues are discussed more heavily than others, we will provide them with pages on their own to ease maintenance.
Table of contents
- Collect i* Tools
- Complexity vs. Usability - i* ontology
- Class vs. Instance Models/Level
- Group Agents vs. Individual Agents
- Mode of Reasoning about Models
- Theoretical Underpinning for Model Analysis - How?
- Simulation of i* Models - How?
- Collect Case Studies
- Combining Functional and Non-Functional Requirements
- Relationships between i* and UML, the database area, etc.
- Matching Algorithms for i* Models
- Patterns Catalog - Collect and Share
- Business Management: Balanced Scorecards, Multi-Criteria Decision Making (MCDM) Techniques; i* fits with Quantitative Methods
- Deriving Organizational Procedures
- More Issues not yet introduced in the above structure
Business Management: Balanced Scorecards, Multi-Criteria Decision Making (MCDM) Techniques; i* fits with Quantitative Methods
- where do the numbers come from? (in reasoning)
- trust/ reputation
- agent evaluation/simulation, how?
- Inter-model transformation 2 ways, reverse engineering
- when to use which model and representation
- for autonomic systems, adaptive software, software evolution driven by changing goals
- actor behavior models are needed