RELAXing Claims: Coping With Uncertainty While Evaluating Assumptions at Run Time - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

RELAXing Claims: Coping With Uncertainty While Evaluating Assumptions at Run Time

Abstract

Self-adaptation enables software systems to respond to changing environmental contexts that may not be fully understood at design time. Designing a dynamically adaptive system (DAS) to cope with this uncertainty is challenging, as it is impractical during requirements analysis and design time to anticipate every environmental condition that the DAS may encounter. Previously, the RELAX language was proposed to make requirements more tolerant to environmental uncertainty, and Claims were applied as markers of uncertainty that document how design assumptions affect goals. This paper integrates these two techniques in order to assess the validity of Claims at run time while tolerating minor and unanticipated environmental conditions that can trigger adaptations. We apply the proposed approach to the dynamic reconfiguration of a remote data mirroring network that must diffuse data while minimizing costs and exposure to data loss. Results show RELAXing Claims enables a DAS to reduce adaptation costs.
No file

Dates and versions

hal-00718997 , version 1 (18-07-2012)

Identifiers

Cite

Andres Ramirez, Betty H.C. Cheng, Nelly Bencomo, Pete Sawyer. RELAXing Claims: Coping With Uncertainty While Evaluating Assumptions at Run Time. MODELS 2012 - ACM/IEEE 15th International Conference on Model Driven Engineering Languages & Systems, Sep 2012, InnsBruck, Austria. pp.53-69, ⟨10.1007/978-3-642-33666-9_5⟩. ⟨hal-00718997⟩

Collections

INRIA INRIA2
104 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More