| 書目名稱 | Fault Prediction Modeling for the Prediction of Number of Software Faults |
| 編輯 | Santosh Singh Rathore,Sandeep Kumar |
| 視頻video | http://file.papertrans.cn/342/341484/341484.mp4 |
| 概述 | Illustrates the process of number of fault prediction.Features special chapters on number of fault prediction and ensemble methods.Broadens readers’ understanding with an empirical study on learning m |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | This 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..? . |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Number of Fault Prediction; Ensemble Methods; Software Engineering; Software Fault Prediction; Quality A |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-7131-8 |
| isbn_softcover | 978-981-13-7130-1 |
| isbn_ebook | 978-981-13-7131-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019 |
|Archiver|手機(jī)版|小黑屋|
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