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Cyclomatic complexity is a software metric used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program's source code. It was developed by Thomas J. McCabe, Sr. in 1976. Cyclomatic complexity is computed using the control-flow graph of the program.
It counts the ears in an ear decomposition of the graph, forms the basis of parameterized complexity on almost-trees, and has been applied in software metrics as part of the definition of cyclomatic complexity of a piece of code. Under the name of cyclomatic number, the concept was introduced by Gustav Kirchhoff. [2] [3]
Essential complexity is a numerical measure defined by Thomas J. McCabe, Sr., in his highly cited, 1976 paper better known for introducing cyclomatic complexity.McCabe defined essential complexity as the cyclomatic complexity of the reduced CFG (control-flow graph) after iteratively replacing (reducing) all structured programming control structures, i.e. those having a single entry point and a ...
The method normally uses McCabe cyclomatic complexity to determine the number of linearly independent paths and then generates test cases for each path thus obtained. [2] Basis path testing guarantees complete branch coverage (all edges of the control-flow graph ), but achieves that without covering all possible paths of the control-flow graph ...
Halstead complexity measures, cyclomatic complexity, time complexity, and parameterized complexity are closely linked concepts. In model theory, U-rank is a measure of the complexity of a complete type in the context of stable theories.
- The 10 most complex methods (Source Code Cyclomatic complexity) // <Name>The 10 most complex methods</Name> (from m in Methods orderby m.CyclomaticComplexity select new { m, m.CyclomaticComplexity }).Take(10) In addition, the tool proposes a live CQLinq query editor with code completion and embedded documentation.
Software Metrics (NDepend currently supports more than 100 code metrics: Cyclomatic complexity; Afferent and Efferent Coupling; Relational Cohesion; Google page rank of .NET types; Percentage of code covered by tests, etc.) Code Coverage data import from Visual Studio coverage, dotCover, OpenCover, NCover, NCrunch.
The main features of JArchitect are: Dependency visualization (using dependency graphs, and dependency matrix) Software metrics (JArchitect currently [as of?] supports 82 code metrics: cyclomatic complexity; afferent and efferent coupling; relational cohesion; percentage of code covered by tests, etc. [vague])