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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.
PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer. Quite stringent; includes many stylistic warnings as ...
Consider, for example, this Python program to calculate a sum of some squares: total = 0 for ii in [2, 4, 8, 10]: total += ii * ii print total This program clearly has cyclomatic complexity of M = E - N + P = 4 - 4 + 1 = 2, which is unsurprising since it contains one loop and no conditionals.
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 ...
Therefore, the time complexity, generally called bit complexity in this context, may be much larger than the arithmetic complexity. For example, the arithmetic complexity of the computation of the determinant of a n × n integer matrix is O ( n 3 ) {\displaystyle O(n^{3})} for the usual algorithms ( Gaussian elimination ).
The complexity of an existing program determines the complexity of changing the program. Problem complexity can be divided into two categories: [2] Accidental complexity relates to difficulties a programmer faces due to the software engineering tools. Selecting a better tool set or a higher-level programming language may reduce it.
Refactoring duplicate code can improve many software metrics, such as lines of code, cyclomatic complexity, and coupling. This may lead to shorter compilation times, lower cognitive load, less human error, and fewer forgotten or overlooked pieces of code. However, not all code duplication can be refactored. [4]