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인공지능대학
컴퓨터공학과
Journal papers
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A runtime fault survival method for deployed software during production runs
Title
A runtime fault survival method for deployed software during production runs
Authors
Seo J.
;
Park J.
;
Choi B.
Ewha Authors
최병주
SCOPUS Author ID
최병주
Issue Date
2016
Journal Title
Journal of Software: Evolution and Process
ISSN
2047-7481
Citation
Journal of Software: Evolution and Process
Keywords
Deployed software reliability
;
Fault mitigation
;
Fault survival
;
Runtime memory fault
Publisher
John Wiley and Sons Ltd
Indexed
SCOPUS
Document Type
Article in Press
Abstract
Runtime memory faults during production run should be more thoroughly addressed because they severely affect system availability. This paper proposes a method for mitigating memory faults during production runs of deployed software, thereby ensuring normal system operation until patches to fix the faults are delivered. Furthermore, the method helps enhance debugging efficiency by providing accurate on-site fault information used by developers to release timely patches. The core of the method is to offer information tagging to identify runtime faults and a fault survival algorithm to provide differentiated fault mitigation according to the runtime state. We implemented ROPHE on a Linux 2.6 platform and conducted an empirical study of representative Linux applications. The results show that the average fault-handling rate among the applications is 35.75%, whereas the RemOte runtime Protection for High-risk Error (ROPHE) greatly improves capacity to an average of 91.94%. Specifically, the fault-handling rates of the applications ranged widely from 7.32% to 62.96%, while ROPHE provided fault-survival rates in the relatively narrow range of 82.35-97.44%. The experimental results show that the proposed method guarantees the same level of reliability for all applications regardless of their individual fault handling capacity. © 2016 John Wiley & Sons, Ltd.
DOI
10.1002/smr.1767
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