Software Complexity Analysis for Multitasking Systems Implemented in the Programming Language C

Authors:
Krzysztof Trocki;Mariusz Czyz
Affiliations:
Motorola Polska Electronics, e-mails: {krzysztof.trocki, mariusz.czyz}@motorola.com and Silesian University of Technology, Department of Computer Science, e-mail: krzysztof.trocki@polsl.pl;Motorola Polska Electronics, e-mails: {krzysztof.trocki, mariusz.czyz}@motorola.com
Venue:
Proceedings of the 2005 conference on Software Engineering: Evolution and Emerging Technologies
Year:
2005

Citing 10
Cited 0

A Synthesis of Software Science Measures and the Cyclomatic Number

IEEE Transactions on Software Engineering
Towards Complexity Metrics for Ada Tasking

IEEE Transactions on Software Engineering
Design complexity measurement and testing

Communications of the ACM
A Review and Evaluation of Software Science

ACM Computing Surveys (CSUR)
Elements of Software Science (Operating and programming systems series)

Elements of Software Science (Operating and programming systems series)
Cyclomatic Complexity and the Year 2000

IEEE Software
Measurement of program complexity by the pair: (Cyclomatic Number, Operator Count)

ACM SIGPLAN Notices
An extension to the cyclomatic measure of program complexity

ACM SIGPLAN Notices
A Complexity Measure

IEEE Transactions on Software Engineering
A Comparison of Measures of Control Flow Complexity

IEEE Transactions on Software Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper investigates the use of two of the most popular software complexity measurement theories, the Halstead's Software Science metrics and McCabe's cyclomatic complexity, to analyze basic characteristics of multitasking systems implemented in the programming language C. Additional extensions of both systems of metrics are proposed to increase the level of obtained information connected with the typical characteristics of multitasking systems.