This is the first book of its kind on software metrics - the measurement of software products and processes used for establishing quality assurance thresholds and in predicting quality levels. This authoritative review of the subject discusses a number of weaknesses which have been discovered over the last ten years and describes a method for the derivation and validation of metrics. This is the first work to describe a methodical derivation process for software
metrics and is a major improvement over the current ad hoc ways of developing metrics making this an important and much needed contribution to software engineering.
'ones interest in this book is stimulated by the controversial thesis of the book ... Shepperd and Ince contend that researchers have not addressed the modelling aspects of software metrication sufficiently ... To ignore the arguments the authors present to support their thesis would be foolish in the extreme. Although some of the later chapters are technical, this should not deter you from buying and reading this excellent book.'
Dr Patrick McParland, The Queen's University of Belfast, Software Development Monitor, November 1993
`This is a well written book which will appeal primarily to people who already have some experience of software metrics.' The Computer Journal, Vol. 27, No. 6, 1994
`This is a well written book which will appeal primarily to people who already have some experience of software metrics.'
The Computer Journal, Vol 37, No 6, 1994
This book is without doubt one of the best written and most readable books currently available in the area of software metrics and provides very useful insights into many of the problems which software engineering faces.... This book is certainly one of the most informative books on software metrics currently available. Its message is clearly enunciated and the arguments for and against various metrics are unambiguously and objectively stated.... represents a
significant step forward in the development of metrics and its publication is very welcome. Formal Aspects of Computing