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- W2016420122 abstract "Complex software systems have become commonplace in modern organizations and are considered critical to their daily operations. They are expected to run on a diverse set of platforms while interoperating with a wide variety of other applications. Although there have been advances in the discipline of software engineering, software faults, and malicious attacks still regularly cause system downtime [1]. Downtime of critical applications can create additional work, cause delays, and lead to financial loss [2]. This paper presents a computational geometry technique to tackle the problem of timely failure diagnosis during the execution of a software application. Our approach to failure diagnosis involves collecting a set of software metrics and building a geometric enclosures corresponding to known classes of faults. The geometric enclosures are then used to partition the state space defined by the metrics." @default.
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- W2016420122 date "2011-11-01" @default.
- W2016420122 modified "2023-09-26" @default.
- W2016420122 title "Diagnosis of software failures using computational geometry" @default.
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- W2016420122 doi "https://doi.org/10.1109/ase.2011.6100108" @default.
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