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.read more
Citations
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Proceedings ArticleDOI
Maintenance metrics for the object oriented paradigm
Wei Li,Sallie M. Henry +1 more
TL;DR: This research concentrates on several object oriented software metrics and the validation of these metrics with maintenance effort in two commercial systems.
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Effort, co-operation and co-ordination in an open source software project: GNOME
Stefan Koch,Georg Schneider +1 more
TL;DR: Results from research into open source projects from a software engineering perspective are presented, and results concerning the special characteristics of open source software development are given.
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Software metrics: success, failures and new directions
Norman Fenton,Martin Neil +1 more
TL;DR: It is argued that it is possible to provide genuinely improved management decision support systems based on such simplistic metrics, but only by adopting a less isolationist approach that uses Bayesian Belief nets.
Proceedings ArticleDOI
Software Defect Prediction via Convolutional Neural Network
TL;DR: This paper proposes a framework called Defect Prediction via Convolutional Neural Network (DP-CNN), which leverages deep learning for effective feature generation and evaluates the method on seven open source projects in terms of F-measure in defect prediction.
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Plagiarism in programming assignments
Mike Joy,Michael Luck +1 more
TL;DR: The authors have developed a package which will allow programming assignments to be submitted online, and which includes software to assist in detecting possible instances of plagiarism, and consider its implications for large group teaching.
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.