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Robust and lightweight fault localization
2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC), 2017The current network is vulnerable to various attacks, e.g., source spoofing and flow hijacking attacks, which can be constructed by misconfigurations or compromising routers. Unfortunately, both users and network operators are unable to localize these faults.
Bo Wu 0002 +3 more
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Fault Localization for Firewall Policies
2009 28th IEEE International Symposium on Reliable Distributed Systems, 2009Firewalls are the mainstay of enterprise security and the most widely adopted technology for protecting private networks. Ensuring the correctness of firewall policies through testing is important. In firewall policy testing, test inputs are packets and test outputs are decisions. Packets with unexpected (expected) evaluated decisions are classified as
JeeHyun Hwang +3 more
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Fault Localization at the WDM Layer
Photonic Network Communication, 1999A single failure in a communication network may trigger many alarms. When the communication network uses optical fibres as transmission medium and increases its capacity by using Wavelength Division Multiplexing (WDM), the number of alarms and the difficulty to locate the failure are considerably higher.
Carmen Mas +2 more
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Duals in Spectral Fault Localization
2013 22nd Australian Software Engineering Conference, 2013Numerous set similarity metrics have been used for ranking "suspiciousness" of code in spectral fault localization, which uses execution profiles of passed and failed test cases to help locate bugs. Research in data mining has identified several forms of possibly desirable symmetry in similarity metrics.
Lee Naish, Hua Jie Lee
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SFLKit: a workbench for statistical fault localization
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022Statistical fault localization aims at detecting execution features that correlate with failures, such as whether individual lines are part of the execution. We introduce SFLKit, an out-of-the-box workbench for statistical fault localization. The framework provides straight- forward access to the fundamental concepts of statistical fault lo- calization.
Marius Smytzek, Andreas Zeller
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Cookbook, a recipe for fault localization
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018Commercial applications of fault localization typically utilize static models of the underlying system to identify root causes amongst the many monitored events. Fundamentally, the limitation of this approach arises from the practical challenges in building and maintaining this model.
Robert Harper 0004, Philip Tee
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Localizing Software Faults Simultaneously
2009 Ninth International Conference on Quality Software, 2009Current automatic diagnosis techniques are predominantly of a statistical nature and, despite typical defect densities, do not explicitly consider multiple faults, as also demonstrated by the popularity of the single-fault Siemens set. We present a logic reasoning approach, called Zoltar-M(ultiple fault), that yields multiple-fault diagnoses, ranked in
Rui Abreu 0001 +2 more
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Localizing Faults in SQL Predicates
2017 IEEE International Conference on Software Testing, Verification and Validation (ICST), 2017Fault localization techniques have been applied to database and data-centric applications that use SQL or SQL-based languages. However, existing techniques can only identify the SQL statements that have faults, but not determine the precise location of the faults within SQL statements.
Yun Guo, Amihai Motro, Nan Li 0008
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Evaluation of fault localization techniques
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016Fault localization (FL) takes as input a faulty program and produces as output a list of code locations ranked by probability of being defective. A programmer doing debugging, or a program repair tool, could save time by focusing on the most suspicious locations.
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Evaluating and Improving Fault Localization
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017Most fault localization techniques take as input a faulty program, and produce as output a ranked list of suspicious code locations at which the program may be defective. When researchers propose a new fault localization technique, they typically evaluate it on programs with known faults.
Spencer Pearson +7 more
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