Software Reliability Prediction Using Hybrid Jaya Optimization and Machine Learning Models
Idioma: inglés
Editorial: SHARK NAIL, 2026
- Tapa blanda
- Nuevo
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Vendedor de IberLibro desde 7 de abril de 2005
Condición: Nuevo
EUR 30,44
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDescripción del artículo del vendedor
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N° de ref. del artículo L2-9781962116626
- Título
- Software Reliability Prediction Using Hybrid Jaya Optimization and Machine Learning Models
- Autor
- Solanki
- Editorial
- SHARK NAIL
- Año de publicación
- 2026
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 10
- 196211662X
- ISBN 13
- 9781962116626
- Peso del artículo
- 209 gramos
Software reliability is an important aspect of software engineering because the ability of a software system to operate without failure influences quality, maintainability, availability, and user confidence. Software Reliability Prediction Using Hybrid Jaya Optimization and Machine Learning Models provides a focused technical examination of software reliability prediction, machine learning, optimization, reliability modeling, and the application of the Jaya optimization algorithm to software engineering problems.
The book introduces the fundamental concepts of software reliability and explains the importance of predicting software failures during the development and testing lifecycle. Reliability prediction can help software engineers understand failure behavior, estimate future reliability, identify potential weaknesses, and support decisions related to testing and quality assurance. Traditional software reliability models provide useful mathematical frameworks, but their effectiveness may depend on assumptions about failure processes and available project data.
A central focus is placed on machine learning-based software reliability prediction. Machine learning methods can identify patterns within historical software failure and testing data and use these patterns to estimate future reliability behavior. The book discusses general concepts associated with data preparation, feature selection, model development, training, prediction, validation, and performance evaluation.
The Jaya optimization algorithm is examined as an optimization technique for improving predictive modeling. Optimization can be used to identify suitable parameter combinations, select relevant variables, or improve the performance of machine learning models. The book explores the principles of Jaya optimization and its potential integration with machine learning approaches for software reliability prediction.
The hybrid methodology forms an important part of the book. Combining optimization with machine learning can provide a systematic framework for addressing challenges associated with model parameters, feature selection, and predictive performance. The book considers how an optimization layer can support the development of more effective reliability prediction models while recognizing the importance of appropriate datasets, model validation, and evaluation criteria.
Software reliability data and failure behavior are also examined from a predictive modeling perspective. Software testing can generate observations related to failures, execution time, fault occurrence, and other reliability indicators. Preparing such data appropriately is essential for developing predictive models capable of capturing meaningful relationships between input variables and reliability outcomes.
“Sinopsis” puede pertenecer a otra edición de este título.
PBShop.store US
Wood Dale, IL, Estados Unidos de America
Vendedor de IberLibro desde 7 de abril de 2005
Tarifas de envío en Estados Unidos de America
| Artículo | De 7 a 14 días hábiles | De 7 a 14 días hábiles |
|---|---|---|
| Primer artículo | EUR 0,00 | EUR 0,00 |
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We first started out as “The Paperback Exchange,” a chain of physical bookstores where we would part exchange your beloved books for new stories to transport you to faraway places. However, as shopping started to evolve to online shops and marketplaces, we bid our stores goodbye to become “PBShop.” This transition has only allowed us to blossom as we now ship thousands of titles to book lovers across the globe. We pride ourselves in being a community of local book lovers which allows our passion and devotion to shine in everything we do. In 2020 we not only celebrated our 20th birthday but our 1st birthday as being completely employee owned after becoming an E.O.T in September 2019. We are proud to be different and embrace standing apart on a book mountain by working from a virtual inventory which allows us to provide thousands of books that may be difficult to get for your bookshelf or your studies. Working with a number of different suppliers allows us to explore other avenues such as puzzles, sheet music and even stationery so we really do have something for everyone. Life is about being versatile in all realms of existence. If this is your first visit or you are a returning customer, we would like to welcome you to the PBShop family, for there is no friend as loyal as a book. We are a company who put our customers at the centre of everything we do as we understand the importance of reading because once you learn to read, you will forever be free. There are a whole lot of things in this world of ours that we are yet to explore, which is why we will forever inspire curious minds.…
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