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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.
Java, JSP, Scala: JavaScript VB.NET Python PHP, Rails, Ruby, XML [4] Software application vulnerability correlation and management system that uses multiple SAST and DAST tools, as well as the results of manual code reviews. Can calculate cyclomatic complexity. CodePeer: 2021-05-07 (21) No; proprietary Ada — — — — — —
JArchitect is a static analysis tool for Java code. This tool supports a large number of code metrics, allows for visualization of dependencies using directed graphs and dependency matrix. The tools also performs code base snapshots comparison, and validation of architectural and quality rules.
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 ...
Inspired by this result, in section VI of his highly-cited paper that introduced the notion of cyclomatic complexity, Thomas J. McCabe described an analogue of Kuratowski's theorem for the control-flow graphs (CFG) of non-structured programs, which is to say, the minimal subgraphs that make the CFG of a program non-structured. These subgraphs ...
Since basic languages such as C, C++, Java, etc. have operations like assignments of variables, function calls and test conditions only, the ABC score has these three components. [1] If the ABC vector is denoted as 5,11,9 for a subroutine, it means that the subroutine has 5 assignments, 11 branches and 9 conditionals.
It finds defects such as numerical computation, programming, memory, and other errors. It also produces software metrics such as Comment density of a source file, Cyclomatic complexity, Number of lines, parameters, call levels, etc. in a function, Identified run-time errors in the software. [10]
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 ...