@article{(Open Science Index):https://publications.waset.org/pdf/10010050,
	  title     = {Bug Localization on Single-Line Bugs of Apache Commons Math Library},
	  author    = {Cherry Oo and  Hnin Min Oo},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {13},
	  number    = {2},
	  year      = {2019},
	  pages     = {65 - 69},
	  ee        = {https://publications.waset.org/pdf/10010050},
	  url   	= {https://publications.waset.org/vol/146},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 146, 2019},
	}