Software economic analysis supports practitioners making decisions during the development process. Effective analysis requires considering higher productivity and quality while maintaining lower effort and time-to-market for business demands. Former studies have identified multiple factors of team and project that determine software economics. However, there is serious conclusive inconsistency. Experts are calling for more empirical evidence with objective data. This study aims at validating the empirical relationships between team/project factors and software economic measurement, including productivity, quality, effort, and time-to-market. The data analysis bases on a renowned dataset, ISBSG. Our findings indicate multiple factors, including team size, language type, and organization type, turn out to have a significant impact on software economics.
['Jianglin Huang', 'Hongyi Sun', 'Yan-Fu Li']
An empirical study of the impact of project factors on software economics