Linking Business Modelling to Socio-technical System Design
CAiSE '99 Proceedings of the 11th International Conference on Advanced Information Systems Engineering
Modelling Component Dependencies to Inform Their Selection
ICCBSS '03 Proceedings of the Second International Conference on COTS-Based Software Systems
AGORA: Attributed Goal-Oriented Requirements Analysis Method
RE '02 Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering
Goal-Oriented Requirements Engineering: A Guided Tour
RE '01 Proceedings of the Fifth IEEE International Symposium on Requirements Engineering
Modelling strategic relationships for process reengineering
Modelling strategic relationships for process reengineering
Towards a Catalogue of Patterns for Defining Metrics over i* Models
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
On the quantitative analysis of agent-oriented models
CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
Designing cooperative IS: exploring and evaluating alternatives
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
A goal-oriented approach for the generation and evaluation of alternative architectures
ECSA'07 Proceedings of the First European conference on Software Architecture
Random thoughts on multi-level conceptual modelling
The evolution of conceptual modeling
A framework to evaluate complexity and completeness of KAOS goal models
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
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The i * framework has been widely adopted by the information systems community for goal- and agent-oriented modeling and analysis. One of its potential benefits is the assessment of the properties of the modeled socio-technical system. In this respect, the definition and evaluation of metrics may play a fundamental role. We are interested in porting to the i * framework metrics that have been already defined and validated in other domains. After some experimentation with i * metrics in this context, the complexity inherent to their definition has driven us to build a method for defining them. In this paper, we present the resulting method, i MDF M , which is structured into 4 steps: domain analysis, domain metrics analysis, metrics formulation and framework update. We apply our approach to an existing suite of metrics for measuring business processes performance and drive some observations from this experiment.