Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Softwear Reliability
How to measure software reliability, and how not to
ICSE '78 Proceedings of the 3rd international conference on Software engineering
A model for program complexity analysis
ICSE '78 Proceedings of the 3rd international conference on Software engineering
Quantitative aspects of software validation
Proceedings of the international conference on Reliable software
Types, distribution, and test and correction times for programming errors
Proceedings of the international conference on Reliable software
The establishment and use of measures to evaluate the quality of software designs
Proceedings of the software quality assurance workshop on Functional and performance issues
Quality guidelines = designer metrics
TRI-Ada '94 Proceedings of the conference on TRI-Ada '94
Determinants of program repair maintenance requirements
Communications of the ACM
An approach towards reliable software
ICSE '79 Proceedings of the 4th international conference on Software engineering
Complexity metrics for manufacturing control architectures based on software and information flow
Computers and Industrial Engineering
Deriving an approximation algorithm for automatic computation of ripple effect measures
Information and Software Technology
Acceptance criteria for computer security
AFIPS '82 Proceedings of the June 7-10, 1982, national computer conference
Complexity metrics for manufacturing control architectures based on software and information flow
Computers and Industrial Engineering
Hi-index | 0.02 |
Numerous software quality studies have been performed over the past three years-mostly sponsored by the Rome Air Development Center. It is proposed by the author that more emphasis should be placed on devising and validating quantitative metrics that are indicative of the quality of software when it is being designed and coded. Such measures could be applied effectively, as relative guidelines without formal validation. However for such measures to be predictive of the quality of the delivered software, they must be validated with actual operational error data or data gathered in a simulated operational environment. This paper includes a review of proposed metrics from the literature a report of a Hughes intramodule metric study, and recommendations for refining proposed software quality assurance criteria.