@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}, }