Title :
More success and failure factors in software reuse
Author :
Menzies, Tim ; Stefano, Justin S Di
Author_Institution :
Lane Dept. of Comput. Sci., West Virginia Univ., Morgantown, WV, USA
fDate :
5/1/2003 12:00:00 AM
Abstract :
Numerous discrepancies exist between expert opinion and empirical data reported in Morisio et al.´s recent TSE article. The differences related to what factors encouraged successful reuse in software organizations. This note describes how those differences were detected and comments on their methodological implications.
Keywords :
software reusability; machine learning; software organizations; software reuse; Association rules; Data analysis; Data mining; Decision trees; Failure analysis; Machine learning; Project management; Stress; Web sites;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.2003.1199076
