Abstract
Efficient ways to measure and evaluate internal quality of object-oriented (OO) software are widely discussed in the literature. Studies in software engineering has used statistical techniques/models to evaluate quality in different aspects (quality characteristics and sub characteristics) and using different variables (traditional and object-oriented software metrics) to quantify it. This paper presents results of applying a systematic mapping to identify the most software metrics cited and the most statistical techniques/models used to evaluate quality in OO software. As a result, we highlighted 79 papers related to the research question in a total of 8,231 papers published in scientific journals. The main contributions of this work are (i) a list of the most used metrics and measurable properties, (ii) a list of the most used statistical techniques/models, and (ii) the main references, themes to be explored and recommendations for future research.
Sign-in/Register to access full text options 
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.
