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Halstead complexity measures are software metrics introduced by Maurice Howard Halstead in 1977 [1] as part of his treatise on establishing an empirical science of software development. Halstead made the observation that metrics of the software should reflect the implementation or expression of algorithms in different languages, but be ...
The concept of measuring software size was first introduced by Maurice Halstead [2] from Purdue University in 1975. He suggested that every computer program consists mainly of tokens: operators and operands. He concluded that a count of the number of unique operators and operands gives us a measure of the size of the program.
M = the source metrics value measured by the WMFP analysis stage W = the adjusted weight assigned to metric M by the APPW model N = the count of metric types i = the current metric type index (iteration) D = the cost drivers factor supplied by the user input q = the current cost driver index (iteration) K = the count of cost drivers
Some of the more commonly used metrics are McCabe's cyclomatic complexity metric; Halstead's software science metrics; Henry and Kafura introduced "Software Structure Metrics Based on Information Flow" in 1981, [3] which measures complexity as a function of "fan-in" and "fan-out". They define fan-in of a procedure as the number of local flows ...
Software measurement is a quantified attribute (see also: measurement) of a characteristic of a software product or the software process. It is a discipline within software engineering . The process of software measurement is defined and governed by ISO Standard ISO 15939 (software measurement process).
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In software engineering and development, a software metric is a standard of measure of a degree to which a software system or process possesses some property. [1] [2] Even if a metric is not a measurement (metrics are functions, while measurements are the numbers obtained by the application of metrics), often the two terms are used as synonyms.
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