Conferences in Research and Practice in Information Technology
  

Online Version - Last Updated - 20 Jan 2012

 

 
Home
 

 
Procedures and Resources for Authors

 
Information and Resources for Volume Editors
 

 
Orders and Subscriptions
 

 
Published Articles

 
Upcoming Volumes
 

 
Contact Us
 

 
Useful External Links
 

 
CRPIT Site Search
 
    

Data-driven Requirements Modeling: Some Initial Results with i*

Ghose, A., Santiputri, M., Saraswati, A. and Dam, H.K.

    Requirements acquisition is widely recognized as a hard problem, requiring significant investments in time and effort. Given the availability of large volumes of data and of relatively cheap instrumentation for data acquisition, this paper explores the prospect of data-driven model extraction in the context of i* models. The paper presents techniques for extracting dependencies from message logs, and for extracting task-dependency correlations from process logs. The preliminary empirical results are encouraging.
Cite as: Ghose, A., Santiputri, M., Saraswati, A. and Dam, H.K. (2014). Data-driven Requirements Modeling: Some Initial Results with i*. In Proc. Asia-Pacific Conference on Conceptual Modelling (APCCM 2014) Auckland, New Zealand. CRPIT, 154. Grossmann, G. and Saeki, M. Eds., ACS. 55-64
pdf (from crpit.com) pdf (local if available) BibTeX EndNote GS