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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.
Source-code metrics are related with software developer activity to gain insight into developer-specific effects on software code quality. [4] System structure and run-time execution traces are correlated to facilitate program comprehension through dynamic analysis in software maintenance tasks. [5]
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).
In the early 1970s, companies began to separate out software maintenance with its own team of engineers to free up software development teams from support tasks. [1] In 1972, R. G. Canning published "The Maintenance 'Iceberg '", in which he contended that software maintenance was an extension of software development with an additional input: the existing system. [1]
Software analytics is the analytics specific to the domain of software systems taking into account source code, static and dynamic characteristics (e.g., software metrics) as well as related processes of their development and evolution.
These tools play a role in monitoring performance, identifying issues, and facilitating proactive maintenance. For instance, Nagios Core is commonly employed for system monitoring and alerting, while Prometheus (software) is frequently used for collecting and querying metrics in cloud-native environments.
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