TY - GEN
T1 - Criteria for the evaluation of self-*systems
AU - Kaddoum, E.
AU - Raibulet, C.
AU - Georgé, J.-P.
AU - Picard, G.
AU - Gleizes, M.-P.
PY - 2010
Y1 - 2010
N2 - In the last years, the growing complexity of the current applications has led to the design of self-adapting systems presenting self-*properties. These systems are composed of several autonomous interactive entities. They behave autonomously and present enhanced characteristics allowing them to handle dynamics coming from exogenous and endogenous changes. In this paper, we propose a set of criteria for the description and evaluation of the adaptive properties of such systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to evaluate the effect of self-*properties on the performances and to compare the adaptive features of different systems. The criteria are grouped into different categories: methodological, architectural, intrinsic, and runtime evaluation. They have been identified and specified by analyzing several case studies, which address self-adaptivity issues through different approaches with different objectives in various application contexts. © 2010 ACM.
AB - In the last years, the growing complexity of the current applications has led to the design of self-adapting systems presenting self-*properties. These systems are composed of several autonomous interactive entities. They behave autonomously and present enhanced characteristics allowing them to handle dynamics coming from exogenous and endogenous changes. In this paper, we propose a set of criteria for the description and evaluation of the adaptive properties of such systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to evaluate the effect of self-*properties on the performances and to compare the adaptive features of different systems. The criteria are grouped into different categories: methodological, architectural, intrinsic, and runtime evaluation. They have been identified and specified by analyzing several case studies, which address self-adaptivity issues through different approaches with different objectives in various application contexts. © 2010 ACM.
U2 - 10.1145/1808984.1808988
DO - 10.1145/1808984.1808988
M3 - Conference contribution
T3 - Proceedings - International Conference on Software Engineering
SP - 29
EP - 38
BT - 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2010, in Conjunction with the 32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
T2 - 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2010, in Conjunction with the 32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
Y2 - 2 May 2010 through 8 May 2010
ER -