An extended systematic mapping study about the scalability of i* Models
Abstract i* models have been used for requirements specification in many domains, such as healthcare, telecommunication, and air traffic control. Managing the scalability and the complexity of such models is an important challenge in Requirements Engineering (RE). Scalability is also one of the most intractable issues in the design of visual notations in general: a well-known problem with visual representations is that they do not scale well. This issue has led us to investigate scalability in i* models and its variants by means of a systematic mapping study. This paper is an extended version of a previous paper on the scalability of i* including papers indicated by specialists. Moreover, we also discuss the challenges and open issues regarding scalability of i* models and its variants. A total of 126 papers were analyzed in order to understand: how the RE community perceives scalability; and which proposals have considered this topic. We found that scalability issues are indeed perceived as relevant and that further work is still required, even though many potential solutions have already been proposed. This study can be a starting point for researchers aiming to further advance the treatment of scalability in i* models.
| Main Authors: | , , , , , , , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
Centro Latinoamericano de Estudios en Informática
2016
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| Online Access: | http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002016000300007 |
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