Title :
Fuzzy Goals for Requirements-Driven Adaptation
Author :
Baresi, Luciano ; Pasquale, Liliana ; Spoletini, Paola
Author_Institution :
Dip. di Elettron. e Inf., Politec. di Milano, Milan, Italy
fDate :
Sept. 27 2010-Oct. 1 2010
Abstract :
Self-adaptation is imposing as a key characteristic of many modern software systems to tackle their complexity and cope with the many environments in which they can operate. Self-adaptation is a requirement per-se, but it also impacts the other (conventional) requirements of the system; all these new and old requirements must be elicited and represented in a coherent and homogenous way. This paper presents FLAGS, an innovative goal model that generalizes the KAOS model, adds adaptive goals to embed adaptation countermeasures, and fosters self-adaptation by considering requirements as live, runtime entities. FLAGS also distinguishes between crisp goals, whose satisfaction is boolean, and fuzzy goals, whose satisfaction is represented through fuzzy constraints. Adaptation countermeasures are triggered by violated goals and the goal model is modified accordingly to maintain a coherent view of the system and enforce adaptation directives on the running system. The main elements of the approach are demonstrated through an example application.
Keywords :
formal specification; formal verification; fuzzy set theory; mathematical programming; self-adjusting systems; systems analysis; FLAGS; KAOS model; crisp goal; fuzzy constraint; fuzzy goal; requirement driven adaptation; runtime entity; selfadaptation; software system; Adaptation model; Energy consumption; Green products; Powders; Runtime; Semantics; Washing machines; Fuzzy Goals; Goals; KAOS; Self-Adaptation;
Conference_Titel :
Requirements Engineering Conference (RE), 2010 18th IEEE International
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-8022-7