| 书目名称 | Early Software Reliability Prediction |
| 副标题 | A Fuzzy Logic Approa |
| 编辑 | Ajeet Kumar Pandey,Neeraj Kumar Goyal |
| 视频video | |
| 概述 | Presents an early software reliability prediction model that will help to grow the reliability of the software systems.Highly useful for practitioners and professionals.Discusses multistage model for |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | The development of software system with acceptable level of reliability and quality within available time frame and budget becomes a challenging objective. This objective could be achieved to some extent through early prediction of number of faults present in the software, which reduces the cost of development as it provides an opportunity to make early corrections during development process. The book presents an early software reliability prediction model that will help to grow the reliability of the software systems by monitoring it in each development phase, i.e. from requirement phase to testing phase. Different approaches are discussed in this book to tackle this challenging issue. An important approach presented in this book is a model to classify the modules into two categories (a) fault-prone and (b) not fault-prone. The methods presented in this book for assessing expected number of faults present in the software, assessing expected number of faults present at the end of eachphase and classification of software modules in fault-prone or no fault-prone category are easy to understand, develop and use for any practitioner. The practitioners are expected to gain more informat |
| 出版日期 | Book 2013 |
| 关键词 | Bayesian Models; Capability Maturity Model; Fault Count Models; Fault Seeding Models; Fuzzy Set Theory; S |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-81-322-1176-1 |
| isbn_softcover | 978-81-322-1742-8 |
| isbn_ebook | 978-81-322-1176-1Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer India 2013 |
发表于 2025-3-21 19:21:10
