Data-driven requirements modeling: Some initial results with i*

Authors

Aditya K. Ghose, University of WollongongFollow
Metta Santiputri, University of WollongongFollow
Ayu Saraswati, University of WollongongFollow
Hoa K. Dam, University of WollongongFollow

RIS ID

88176

Publication Details

Ghose, A., Santiputri, M., Saraswati, A. & Dam, H. Khanh. (2014). Data-driven requirements modeling: Some initial results with i*. Proceedings of the Tenth Asia-Pacific Conference on Conceptual Modelling (APCCM 2014) (pp. 55-64). Australia: Australian Computer Society Inc.

Abstract

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.