Statistical Testing on Prediction of Software Defects
Statistical Tests are used to make inferences from data. These tests will tell whether the observed pattern is real or just due to chance. The type of the test, to be used, depends on research design, distribution of data and type of variables. In this paper, we are addressing high dimensionality p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2018-09-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/970 |
| _version_ | 1811329597552197632 |
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| author | Satya Srinivas Maddipati Malladi Srinivas |
| author_facet | Satya Srinivas Maddipati Malladi Srinivas |
| author_sort | Satya Srinivas Maddipati |
| collection | DOAJ |
| description |
Statistical Tests are used to make inferences from data. These tests will tell whether the observed pattern is real or just due to chance. The type of the test, to be used, depends on research design, distribution of data and type of variables. In this paper, we are addressing high dimensionality problem in software defect prediction using statistical tests. We determined the distribution of data to choose appropriate statistical test. We observed most of the variables follow gamma distribution and hence applied wilcoxon Rank Sum Test for correlation between input variables and outcome variable. We extracted the variable with high correlation. We observed the performance of the classifier was improved by addressing high dimensionality problem with wilcoxon Rank Sum Test.
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| first_indexed | 2024-04-13T15:46:34Z |
| format | Article |
| id | doaj.art-7d79b0b8934f4d8da374b8c8eabcfca5 |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-04-13T15:46:34Z |
| publishDate | 2018-09-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-7d79b0b8934f4d8da374b8c8eabcfca52022-12-22T02:40:58ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2018-09-0152010.4108/eai.12-9-2018.155748Statistical Testing on Prediction of Software DefectsSatya Srinivas Maddipati0Malladi Srinivas1KLEF, VaddeswaramK LEF, Vaddeswaram, Guntur Statistical Tests are used to make inferences from data. These tests will tell whether the observed pattern is real or just due to chance. The type of the test, to be used, depends on research design, distribution of data and type of variables. In this paper, we are addressing high dimensionality problem in software defect prediction using statistical tests. We determined the distribution of data to choose appropriate statistical test. We observed most of the variables follow gamma distribution and hence applied wilcoxon Rank Sum Test for correlation between input variables and outcome variable. We extracted the variable with high correlation. We observed the performance of the classifier was improved by addressing high dimensionality problem with wilcoxon Rank Sum Test. https://publications.eai.eu/index.php/ew/article/view/970Statistical testingSoftware defectsWilcoxon Rank Sum Test |
| spellingShingle | Satya Srinivas Maddipati Malladi Srinivas Statistical Testing on Prediction of Software Defects EAI Endorsed Transactions on Energy Web Statistical testing Software defects Wilcoxon Rank Sum Test |
| title | Statistical Testing on Prediction of Software Defects |
| title_full | Statistical Testing on Prediction of Software Defects |
| title_fullStr | Statistical Testing on Prediction of Software Defects |
| title_full_unstemmed | Statistical Testing on Prediction of Software Defects |
| title_short | Statistical Testing on Prediction of Software Defects |
| title_sort | statistical testing on prediction of software defects |
| topic | Statistical testing Software defects Wilcoxon Rank Sum Test |
| url | https://publications.eai.eu/index.php/ew/article/view/970 |
| work_keys_str_mv | AT satyasrinivasmaddipati statisticaltestingonpredictionofsoftwaredefects AT malladisrinivas statisticaltestingonpredictionofsoftwaredefects |