Using Machine Learning To Support Debugging With Tarantula

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Using Machine Learning to Support Debugging with Tarantula

    https://www.researchgate.net/publication/4298356_Using_Machine_Learning_to_Support_Debugging_with_Tarantula
    Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantula but addresses ...

Using Machine Learning to Support Debugging with Tarantula ...

    https://ieeexplore.ieee.org/document/4402205/
    Nov 09, 2007 · Abstract: Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantula but addresses its main flaw: its difficulty to deal with the presence of multiple faults as it assumes that failing test cases execute the same fault(s).

Using Machine Learning to Support Debugging with Tarantula

    https://www.researchgate.net/profile/Yvan_Labiche/publication/4298356_Using_Machine_Learning_to_Support_Debugging_with_Tarantula/links/547fce9c0cf2ccc7f8bb0659.pdf?origin=publication_detail
    Carleton University, TR SCE-07-04, Version 2 August 2007 1 Using Machine Learning to Support Debugging with Tarantula Lionel C. Briand Yvan Labiche Xuetao Liu

Using Machine Learning to Support Debugging with Tarantula

    https://dl.acm.org/citation.cfm?id=1337691.1338380
    Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantula but addresses its main flaw: its difficulty to deal with the presence of multiple faults as …Cited by: 88

Using Machine Learning to Support Debugging with Tarantula

    https://www.academia.edu/3115793/Using_Machine_Learning_to_Support_Debugging_with_Tarantula
    Using Machine Learning to Support Debugging with Tarantula

Dr. Yvan Labiche's Home Page :: Publications

    http://www.sce.carleton.ca/faculty/labiche/pubs.shtml
    L. C. Briand, Y. Labiche and Z. Bawar, “Using Machine Learning to Refine Black-Box Test Specifications and Test Suites,” Proc. International Conference on Quality Software, 2008. ... “Using Machine Learning to Support Debugging with Tarantula,” Proc. International Symposium on Software Reliability Engineering, pp. 137-146, 2007.

DeepFL: integrating multiple fault diagnosis dimensions ...

    https://dl.acm.org/citation.cfm?id=3330574
    Lionel C. Briand , Yvan Labiche , Xuetao Liu, Using Machine Learning to Support Debugging with Tarantula, Proceedings of the The 18th IEEE International Symposium on Software Reliability, p.137-146, November 05-09, 2007Cited by: 5

debugging - Is there a machine learning system that is ...

    https://stackoverflow.com/questions/27584362/is-there-a-machine-learning-system-that-is-easy-to-debug
    Is there a machine learning system that is easy to debug? (And how can it be debugged?) Is there a known methodical way of debugging machine learning systems at all? debugging machine-learning neural-network svm hidden-markov-models. share improve this question. edited Aug 13 '15 at 17:39.

How to use machine learning to debug outages 10x faster

    https://medium.com/@upal/how-to-use-machine-learning-to-debug-outages-10x-faster-e480b7e2a907
    Jun 13, 2016 · How to use machine learning to debug outages 10x faster. ... To facilitate the debugging process, companies may expend a lot of energy instrumenting their …



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