000 | 03221nam a22005295i 4500 | ||
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001 | 978-981-13-7131-8 | ||
003 | DE-He213 | ||
005 | 20240423130131.0 | ||
007 | cr nn 008mamaa | ||
008 | 190403s2019 si | s |||| 0|eng d | ||
020 |
_a9789811371318 _9978-981-13-7131-8 |
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024 | 7 |
_a10.1007/978-981-13-7131-8 _2doi |
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050 | 4 | _aQA76.758 | |
072 | 7 |
_aUMZ _2bicssc |
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072 | 7 |
_aCOM051230 _2bisacsh |
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072 | 7 |
_aUMZ _2thema |
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082 | 0 | 4 |
_a005.1 _223 |
100 | 1 |
_aRathore, Santosh Singh. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aFault Prediction Modeling for the Prediction of Number of Software Faults _h[electronic resource] / _cby Santosh Singh Rathore, Sandeep Kumar. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2019. |
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300 |
_aXIII, 78 p. 8 illus., 1 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
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505 | 0 | _aIntroduction -- Techniques used for the Prediction of Number of Faults -- Homogeneous Ensemble Methods for the Prediction of Number of Faults -- Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Non-Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Conclusions. | |
520 | _aThis book addresses software faults—a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a “one-stop” source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments. . | ||
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aComputer industry. | |
650 | 1 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aThe Computer Industry. |
700 | 1 |
_aKumar, Sandeep. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811371301 |
776 | 0 | 8 |
_iPrinted edition: _z9789811371325 |
776 | 0 | 8 |
_iPrinted edition: _z9789811371332 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-13-7131-8 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
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