Managing [email protected] with a linguistic decision making approach

Romina Torres, Hernan Astudillo

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva


In the seminal work about requirements, Zave and Jackson established that if specification models hold the correctness criteria then, they can be used instead of requirements to make decisions (e.g. select an architectural configuration to implement requirements). Unfortunately, during runtime for systems under changing environments, domain assumptions may change and if they are not properly maintained (synchronized) the correctness criteria may becomes not useful to detect when the specification model is not anymore a valid representation of requirements. Thus, requirements may be violated but not properly detected. In order to avoid specification models become obsolete during runtime, we already proposed reify requirements into abstract specification models. In this paper we extend the correctness criteria to [email protected] and we propose specifically the linguistic decision making (LDM) models to represent these abstract models. We present an illustrative example of how our approach works. The main contribution of this approach is obtained during runtime, when the false negative rate error on determining when requirements are violated is reduced.

Idioma originalInglés
Título de la publicación alojadaCIBSE2014
Subtítulo de la publicación alojadaProceedings of the 17th Ibero-American Conference Software Engineering
EditorialUniversidad de la Frontera
Número de páginas14
ISBN (versión impresa)9789562362474
EstadoPublicada - 2014
Evento17th Ibero-American Conference on Software Engineering, CIBSE 2014 - Pucon, Chile
Duración: 23 abr. 201425 abr. 2014

Serie de la publicación

NombreCIBSE 2014: Proceedings of the 17th Ibero-American Conference Software Engineering


Otros17th Ibero-American Conference on Software Engineering, CIBSE 2014

Áreas temáticas de ASJC Scopus

  • Inteligencia artificial
  • Sistemas de información
  • Software


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