Fault Prediction Modeling for the Prediction of Number of Software Faults. (2019)

• Record Type: Book
• Further Information: Note: Santosh Singh Rathore, Sandeep Kumar.
• Authors: Rathore, Santosh Singh; Kumar, Sandeep
• Contents: 1. Introduction1.1 Software Fault Prediction1.2 Software Fault Terminologies1.3 Advantages of Software Fault Prediction1.4 Contributions1.5 Summary1.6 References2. Prediction of the Number of Faults2.1 Introduction2.2 Architecture of Fault Prediction Process2.3 Components of Fault Prediction model2.4 Summary2.5 References3. Software Fault Datasets and Their Issues3.1 Introduction3.2 Repositories for Software Fault Datasets3.3 Fault Dataset Issues3.4 Summary3.5 References4. Evaluation of techniques for the prediction of number of faults4.1 Introduction4.2 Technique Descriptions4.3 Performance Measures4.4 Results and Analysis4.5 Summary4.6 References5. Ensemble Method for the prediction of Number of Faults5.1 Introduction5.2 Ensemble method5.3 Performance Measures5.4 Experimental Analysis5.5 Discussion5.6 Summary5.7 References6. Conclusions.
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource (78 pages)
• Subjects: Computer science; Software engineering; Computer industry; Business & Economics -- Industries -- Computer Industry; Information technology industries; Computers -- Software Development & Engineering -- General; Software Engineering
• Languages: English
• ISBNs: 9789811371318
• Related ISBNs: 9789811371301
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.