Software metric. 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. 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. Since quantitative measurements are essential in all sciences, there is a continuous effort by computer science practitioners and theoreticians to bring similar approaches to software development. The goal is obtaining objective, reproducible and quantifiable measurements, which may have numerous valuable applications in schedule and budget planning, cost estimation, quality assurance, testing, software debugging, software performance optimization, and optimal personnel task assignments.

Common software measurements 
Common software measurements include:
 ABC Software Metric
 Balanced scorecard
 Bugs per line of code
 Code coverage
 Cohesion
 Comment density
 Connascent software components
 Constructive Cost Model
 Coupling
 Cyclomatic complexity (McCabe's complexity)
 Cyclomatic complexity density
 Defect density - defects found in a component
 Defect potential - expected number of defects in a particular component
 Defect removal rate
 DSQI (design structure quality index)
 Function Points and Automated Function Points, an Object Management Group standard
 Halstead Complexity
 Instruction path length
 Maintainability index
 Source lines of code - number of lines of code
 Program execution time
 Program load time
 Program size (binary)
 Weighted Micro Function Points
 Cycle time (software)
 First pass yield
 Corrective Commit Probability

Limitations 
As software development is a complex process, with high variance on both methodologies and objectives, it is difficult to define or measure software qualities and quantities and to determine a valid and concurrent measurement metric, especially when making such a prediction prior to the detail design. Another source of difficulty and debate is in determining which metrics matter, and what they mean.
The practical utility of software measurements has therefore been limited to the following domains:
 Scheduling
 Software sizing
 Programming complexity
 Software development effort estimation
 Software quality

A specific measurement may target one or more of the above aspects, or the balance between them, for example as an indicator of team motivation or project performance.

Additionally metrics vary between static and dynamic program code, as well as for object oriented software (systems).

Acceptance and public opinion 
Some software development practitioners point out that simplistic measurements can cause more harm than good. Others have noted that metrics have become an integral part of the software development process.
Impact of measurement on programmer psychology have raised concerns for harmful effects to performance due to stress, performance anxiety, and attempts to cheat the metrics, while others find it to have positive impact on developers value towards their own work, and prevent them being undervalued. Some argue that the definition of many measurement methodologies are imprecise, and consequently it is often unclear how tools for computing them arrive at a particular result, while others argue that imperfect quantification is better than none (“You can’t control what you can't measure.”). Evidence shows that software metrics are being widely used by government agencies, the US military, NASA, IT consultants, academic institutions, and commercial and academic development estimation software.

Further reading 

 J. Smith, Introduction to Linear Programming, Acme Press, 2010. An introductory text.

 Reijo M.Savola, Quality of security metrics and measurements, Computers & Security, Volume 37, September 2013, Pages 78-90.

See also 
 Goal Question-Metric
 List of tools for static code analysis
 Orthogonal Defect Classification
 Software engineering
 Software package metrics

References

External links 

 Software Metrics (SQA.net)
 Software Engineering Metrics: What do they measure and how do we know
NASA Standard NASA-STD-8739.8 (Software Assurance and Software Safety Standard)
HIS Source Code Metrics (outdated but for reference; related see AUTOSAR)
HIS Source Code Metrics version 1.3.1 01.04.2008 (outdated but for reference; related see AUTOSAR)
A framework for source code metrics
NASA.gov
SonarQube Metric Definitions
Metrics of Object Oriented Software (2010)

Metrics