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Software Fault Prediction : A Road Map / / by Sandeep Kumar, Santosh Singh Rathore



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Autore: Kumar Sandeep Visualizza persona
Titolo: Software Fault Prediction : A Road Map / / by Sandeep Kumar, Santosh Singh Rathore Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XI, 72 p. 8 illus., 1 illus. in color.)
Disciplina: 005.1
Soggetto topico: Software engineering
Application software
Software Engineering
Information Systems Applications (incl. Internet)
Persona (resp. second.): RathoreSantosh Singh
Nota di contenuto: Chapter 1. Introduction -- Chapter 2. Software Fault Prediction Process -- Chapter 3. Types of Software Fault Prediction -- Chapter 4. Software Fault Dataset -- Chapter 5. Evaluation of Techniques for Binary Class Prediction -- Chapter 6. Number of Fault Prediction -- Chapter 7. Conclusions. .
Sommario/riassunto: This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of software fault prediction. Chapter 2 explains the generalized architecture of the software fault prediction process and discusses its various components. In turn, Chapter 3 provides detailed information on types of fault prediction models and discusses the latest literature on each model. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models. Chapter 5 presents a study evaluating different techniques on the basis of their performance for software fault prediction. Chapter 6 presents another study evaluating techniques for predicting the number of faults in the software modules. In closing, Chapter 7 provides a summary of the topics discussed. The book will be of immense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area.
Titolo autorizzato: Software Fault Prediction  Visualizza cluster
ISBN: 981-10-8715-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299316603321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Computer Science, . 2191-5768