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Halstead complexity measures are software metrics introduced by Maurice Howard Halstead in 1977 [1] as part of his treatise on establishing an empirical science of software development. Halstead made the observation that metrics of the software should reflect the implementation or expression of algorithms in different languages, but be ...
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.
As many ancestor measurement methods use source lines of code (SLOC) to measure software size, WMFP uses a parser to understand the source code breaking it down into micro functions and derive several code complexity and volume metrics, which are then dynamically interpolated into a final effort score.
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. [10] Additionally metrics vary between static and dynamic program code, as well as for object ...
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 ...
Some of the more commonly used metrics are McCabe's cyclomatic complexity metric; Halstead's software science metrics; Henry and Kafura introduced "Software Structure Metrics Based on Information Flow" in 1981, [3] which measures complexity as a function of "fan-in" and "fan-out". They define fan-in of a procedure as the number of local flows ...
Each of the four types of design predicates have an associated integration complexity rating. For pieces of code that apply more than one design predicate, integration complexity ratings can be combined. The sum of the integration complexity for a unit of code, plus one, is the maximum number of test cases necessary to exercise the integration ...
In software engineering, profiling ("program profiling", "software profiling") is a form of dynamic program analysis that measures, for example, the space (memory) or time complexity of a program, the usage of particular instructions, or the frequency and duration of function calls.