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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.
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 ...
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 ...
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).
Software quality is the "capability of a software product to conform to requirements." [36] [37] while for others it can be synonymous with customer- or value-creation [38] [39] or even defect level. [40]
GQM has been promoted by Victor Basili of the University of Maryland, College Park and the Software Engineering Laboratory at the NASA Goddard Space Flight Center [2] after supervising a Ph.D. thesis by Dr. David M. Weiss. [3] Dr. Weiss' work was inspired by the work of Albert Endres at IBM Germany. [4] [5] [6]
Function points were defined in 1979 in Measuring Application Development Productivity by Allan J. Albrecht at IBM. [4] The functional user requirements of the software are identified and each one is categorized into one of five types: outputs, inquiries, inputs, internal files, and external interfaces.
Metrics are typically tagged to facilitate grouping and searchability. Application developers choose what kind of metrics to instrument their software with, before it is released. As a result, when a previously unknown issue is encountered, it is impossible to add new metrics without shipping new code.