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Journal ArticleDOI

A Complexity Measure

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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

An empirical study of object-oriented system evolution

TL;DR: It is found that once an OO project starts, the metrics can give good indications of project progress, e.g. how mature the design and implementation is, which can be used to adjust the project plan in real time.
Proceedings ArticleDOI

A cognitive complexity metric based on category learning

TL;DR: Elements of cognition that describe the mechanics of comprehension serve as a guide to assessing comprehension demands in the understanding of programs written in high level languages.
Proceedings ArticleDOI

Software Practitioner Perspectives on Merge Conflicts and Resolutions

TL;DR: It is found that practitioners are directly impacted by their perception of the complexity of the conflicting code, and may alter the timeline in which to resolve these conflicts, as well as the methods employed for conflict resolution based upon that initial perception.
Journal ArticleDOI

How software process automation affects software evolution: a longitudinal empirical analysis

TL;DR: The models and results demonstrate how longitudinal empirical software data can be used to reveal the often elusive long-term benefits of investments in software process improvement, and to help managers make more informed resource-allocation decisions.
Journal ArticleDOI

Tangible and graphical programming with experienced children: A mixed methods analysis

TL;DR: Usability analysis focused on retention, error rate, and convenience and showed that although no difference between the two interfaces recorded, students’ perceived impression on retention was in favor of the tangible interface, which was perceived as more playful by all students and more appropriate for collaborative work by elder students and girls.
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.