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ABSTRACT
<p><b>Abstract</b>—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.</p>
INDEX TERMS
Reuse, machine learning.
CITATION
Justin S. Di Stefano, Tim Menzies, "More Success and Failure Factors in Software Reuse", IEEE Transactions on Software Engineering, vol. 29, no. , pp. 474-477, May 2003, doi:10.1109/TSE.2003.1199076
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