Since its first proposal in the nineties, the i* framework has been used to requirements specification in many domains, such as healthcare, tele-communication, and air traffic control. After the modeling of different exam-ples and case studies, it has been observed that i* models become dramatically more difficult to understand and analyze as they grow larger. This issue has led us to investigate scalability in the context of the i* framework, by means of a systematic mapping study. A total of 119 papers were analyzed, in order to un-derstand how scalability is perceived by the i* research community, which pro-posals have considered this topic, and what open issues still need to be ad-dressed. We found that scalability issues are indeed perceived as relevant and that further work is still required, even though many potential solutions have al-ready been proposed. This study can be a starting point for researchers aiming to further advance the treatment of scalability in social goal models.
Systematic Mapping study; Scalability; iStar; i*; Goal Models
@inproceedings{wer201601,
author = {Lima, P. and Vilela, J. and Gonçalves, E. and Pimentel, J. and Holanda, A. and Castro, J. and Lencastre., F. A. A. M.},
title = {Scalability of istar: a Systematic Mapping Study},
booktitle = {Proceedings of the WER2016-19th Workshop on Requirements Engineering, Quito - Ecuador},
year = {2016},
issn = {2675-0066},
isbn = {},
doi = {}
}