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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

Empirical validation of referential integrity metrics

TL;DR: Two metrics related to referential integrity, number of foreign keys (NFK) and depth of the referentIAL tree (DRT) for controlling the quality of a relational database are presented.
Patent

System for determining the code coverage of a tested program based upon static and dynamic analysis recordings

TL;DR: In this paper, a correlation and comparison of results obtained from both a static and dynamic instruction flow recording is made, and the number of untested functions can be determined during test phase of a computer program before sending the data processing system to the field.
Proceedings ArticleDOI

Program complexity measure for software development management

TL;DR: Application of complexity measures to software development management is discussed and a method for the detection of anomalous modules in a program is proposed.
Proceedings ArticleDOI

A Tool for Mining Defect-Tracking Systems to Predict Fault-Prone Files.

TL;DR: The goal is to produce an automated tool that mines the project defect tracking system and that can be used by testers without requiring any particular statistical expertise or subjective judgements.
Proceedings ArticleDOI

Software quality prediction using mixture models with EM algorithm

TL;DR: The use of the statistical technique of mixture model analysis as a tool for early prediction of fault-prone program modules is investigated, and the expectation-maximum likelihood (EM) algorithm is engaged to build the model.
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.
Journal ArticleDOI

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.