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Using models at runtime to address assurance for self-adaptive systems

 
: Cheng, Betty; Eder, Kerstin I.; Gogolla, Martin; Grunske, Lars; Litoiu, Marin; Müller, Hausi A.; Pelliccione, Patrizio; Perini, Anna; Qureshi, Nauman A.; Rumpe, Bernhard; Schneider, Daniel; Trollmann, Frank; Villegas, Norha M.

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Bencomo, Nelly (Ed.); France, Robert (Ed.); Cheng, Betty (Ed.); Aßmann, Uwe (Ed.):
Models@run.time. Foundations, applications, and roadmaps : Dagstuhl Seminar 11481 on Models@Run.Time that was held from November 27 to December 2, 2011
Cham: Springer International Publishing, 2014 (Lecture Notes in Computer Science 8378)
ISBN: 978-3-319-08914-0 (Print)
ISBN: 978-3-319-08915-7 (Online)
pp.101-136
English
Book Article
Fraunhofer IESE ()
adaptive system; open system; cyber physical system; safety; challenge; software security assurance; software quality assurance; models at runtime

Abstract
A self-adaptive software system modifies its behavior at runtime in response to changes within the system or in its execution environment. The fulfillment of the system requirements needs to be guaranteed even in the presence of adverse conditions and adaptations. Thus, a key challenge for self-adaptive software systems is assurance. Traditionally, confidence in the correctness of a system is gained through a variety of activities and processes performed at development time, such as design analysis and testing. In the presence of self-adaptation, however, some of the assurance tasks may need to be performed at runtime. This need calls for the development of techniques that enable continuous assurance throughout the software life cycle. Fundamental to the development of runtime assurance techniques is research into the use of models at runtime (M@RT). This chapter explores the state of the art for using M@RT to address the assurance of self-adaptive software systems. It defines what information can be captured by M@RT, specifically for the purpose of assurance, and puts this definition into the context of existing work. We then outline key research challenges for assurance at runtime and characterize assurance methods. The chapter concludes with an exploration of selected application areas where M@RT could provide significant benefits beyond existing assurance techniques for adaptive systems.

: http://publica.fraunhofer.de/documents/N-303554.html