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Journal ArticleDOI

A Complexity Measure

TLDR
Several properties of the graph-theoretic complexity are proved which show, for example, that complexity is independent of physical size and complexity depends only on the decision structure of a program.
Abstract
This paper describes a graph-theoretic complexity measure and illustrates how it can be used to manage and control program complexity. The paper first explains how the graph-theory concepts apply and gives an intuitive explanation of the graph concepts in programming terms. The control graphs of several actual Fortran programs are then presented to illustrate the correlation between intuitive complexity and the graph-theoretic complexity. Several properties of the graph-theoretic complexity are then proved which show, for example, that complexity is independent of physical size (adding or subtracting functional statements leaves complexity unchanged) and complexity depends only on the decision structure of a program.

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Citations
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Journal ArticleDOI

The design of decision trees in the framework of granular data and their application to software quality models

TL;DR: The role of fuzzy sets is discussed as a comprehensive algorithmic vehicle supporting the design of decision trees and the development methodology of binary (Boolean) decision trees is enhanced rather than generalizing them to the form of fuzzy constructs.
Proceedings ArticleDOI

Improving Code: The (Mis) Perception of Quality Metrics

TL;DR: This work mine commits in which developers clearly state in the commit message their aim of improving one of four quality attributes: cohesion, coupling, code readability, and code complexity, and uses state-of-the-art metrics to assess the change brought by each of those commits to the specific quality attribute it targets.
Proceedings ArticleDOI

Engineering big data solutions

TL;DR: To sustain the credibility of OD-based systems more research will be needed to investigate effective existing approaches and to synthesize novel, OD-specific engineering principles.
Journal ArticleDOI

Complexity measure evaluation and selection

TL;DR: A formal model of program complexity developed earlier by the authors is used to derive evaluation criteria for program complexity measures, and an evaluation model for choosing among alternative feasible measures is presented.
Journal ArticleDOI

Software metrics: using measurement theory to describe the properties and scales of static software complexity metrics

TL;DR: Methods are shown to describe a software complexity metric as an ordinal, an interval or a ratio scale, which are very important for selecting appropriate software metrics for software measurement and for developing tools which use software metrics to evaluate the "quality" of software.
References
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Journal ArticleDOI

Structured Programming with go to Statements

TL;DR: For serious students of structured programming, and also for language designers, Knuth's "Structured Programming with go to Statements" is probably the paper to read.
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Analysis of structured programs

TL;DR: It is shown that an arbitrary program P is reducible to a D-chart if and only if P does not contain a loop with two distinct exits.
Journal ArticleDOI

A genealogy of control structures

TL;DR: It is argued further that there is insufficient evidence to warrant more than if-then-else, while-do, and their variants and the importance of one-in, one-out control structures as operational abstractions.