Early Software Reliability Prediction is popular PDF and ePub book, written by Ajeet Kumar Pandey in 2013-07-12, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Early Software Reliability Prediction can be Read Online from any device for your convenience.
Early Software Reliability Prediction Book PDF Summary
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 each phase 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 information about their development process and product reliability, which can help to optimize the resources used.
Detail Book of Early Software Reliability Prediction PDF
- Author : Ajeet Kumar Pandey
- Release : 12 July 2013
- Publisher : Springer
- ISBN : 9788132211761
- Genre : Technology & Engineering
- Total Page : 153 pages
- Language : English
- PDF File Size : 17,6 Mb
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