2026-06-01T08:04:41Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/277442026-02-03T12:02:51Zcom_10630_2254col_10630_37959

Cámara-Moreno, Javier Calinescu, Radu Cheng, Betty H.C. Garlan, David Schmerl, Bradley Troya-Castilla, Javier Vallecillo-Moreno, Antonio Jesús 2023-10-04T12:23:45Z 2023-10-04T12:23:45Z 2023 https://hdl.handle.net/10630/27744 Software-intensive systems are increasingly used to support tasks that are typically characterized by high degrees of uncertainty. The modeling notations employed to design, verify, and operate such systems have increasingly started to capture different types of uncertainty, so that they can be explicitly considered when systems are developed and deployed. While these modeling paradigms consider different sources of uncertainty individually, these sources are rarely independent, and their interactions affect the achievement of system goals in subtle and often unpredictable ways. This vision paper describes the problem of uncertainty interaction in software-intensive systems, illustrating it on examples from relevant application domains. We then identify key open challenges that require further exploration, and define desiderata that future modeling notations and model-driven engineering research should consider to address these challenges. eng open access Ingeniería del software Lenguajes de programación Addressing the Uncertainty Interaction Problem in Software-intensive Systems: Challenges and Desiderata. (Summary). conference output