<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dubey, Abhishek</style></author><author><style face="normal" font="default" size="100%">Mahadevan, Nagabhushan</style></author><author><style face="normal" font="default" size="100%">Karsai, Gabor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Deliberative Reasoner for Model-Based Software Health Management</style></title><secondary-title><style face="normal" font="default" size="100%">The Eighth International Conference on Autonomic and Autonomous Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">03/2012</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://archive.isis.vanderbilt.edu/sites/default/files/Paper_10.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">St. Maarten, Netherlands Antilles</style></pub-location><abstract><style face="normal" font="default" size="100%">While traditional design-time and off-line approaches to testing and verification contribute significantly to improving and ensuring high dependability of software, they may not cover all possible fault scenarios that a system could encounter at runtime. Thus, runtime `health management' of complex embedded software systems is needed to improve their dependability.  Our approach to Software Health Management uses concepts from the field of  `Systems Health Management': detection, diagnosis and mitigation. In earlier work we had shown how to use a reactive mitigation strategy specified using a timed state machine model for system health manager. This paper describes the algorithm and key concepts for an alternative approach to system mitigation using a deliberative strategy, which relies on a function-allocation model to identify alternative component-assembly configurations that can restore the functions needed for the goals of the system. </style></abstract></record></records></xml>