Abstract
Lines of code metrics are routinely used as measures of software system complexity, programmer productivity, and defect density, and are used to predict both effort and cost. The guidelines for using a direct metric, such as lines of code, as a proxy for a quality factor such as complexity or defect density, or in derived metrics such as cost and effort are clear. Amongst other criteria, the direct metric must be linearly related to, and accurately predict, the quality factor and these must be validated through statistical analysis following a rigorous validation methodology. In this paper, we conduct such an analysis to determine the validity and utility of lines of code as a measure using the ISBGS-10 data set. We find that it fails to meet the specified validity tests and, therefore, has limited utility in derived measures.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
