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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.
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.
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