Title :
An Approach for Classifying Program Failures
Author :
Ozcelik, Burcu ; Kalkan, Kubra ; Yilmaz, Cemal
Author_Institution :
Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul, Turkey
Abstract :
In this work, we leverage hardware performance counters-collected data to automatically group program failures that stem from closely related causes into clusters, which can in turn help developers prioritize failures as well as diagnose their causes. Hardware counters have been used for performance analysis of software systems in the past. By contrast, in this paper they are used as abstraction mechanisms for program executions. The results of our feasibility studies conducted on two widely-used applications suggest that hardware counters-collected data can be used to reliably classify failures.
Keywords :
pattern classification; program debugging; software reliability; hardware performance counters; program diagnosis; program failure classification approach; software systems; Accuracy; Algorithm design and analysis; Clustering algorithms; Flexible printed circuits; Hardware; Radiation detectors; Sockets; debugging aids; failure classification; hardware performance counters;
Conference_Titel :
Advances in System Testing and Validation Lifecycle (VALID), 2010 Second International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-7784-5
Electronic_ISBN :
978-0-7695-4146-4
DOI :
10.1109/VALID.2010.10
