Abstract
Several metrics related to the distribution of use of instructions in a program have been developed. They appear to have potential for assessing the degree to which a program "matches" the architecture of the host computer. Also, they may serve as the basis for bridging the gap between the software science metrics of Halstead and others that focus on the static qualities of the programming process and the resulting software product and dynamic measures such as MIPS often used for comparison of system performance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.