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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 31108

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Bug Localization on Single-Line Bugs of Apache Commons Math Library
Software bug localization is one of the most costly tasks in program repair technique. Therefore, there is a high claim for automated bug localization techniques that can monitor programmers to the locations of bugs, with slight human arbitration. Spectrum-based bug localization aims to help software developers to discover bugs rapidly by investigating abstractions of the program traces to make a ranking list of most possible buggy modules. Using the Apache Commons Math library project, we study the diagnostic accuracy using our spectrum-based bug localization metric. Our outcomes show that the greater performance of a specific similarity coefficient, used to inspect the program spectra, is mostly effective on localizing of single line bugs.
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[1] Abreu, R., Zoeteweij, P., Golsteijn, R. and Van Gemund, A.J., 2009. A practical evaluation of spectrum-based fault localization. Journal of Systems and Software, 82(11), pp.1780-1792.
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