Assessment of classification techniques on predicting success or failure of Software reusability

Assessment of classification techniques on predicting success or failure of Software reusability

[1]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[2]  Ron Kohavi,et al.  Special Issue on Applications of data mining to electronic commerce , 2001 .

[3]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[4]  Tim Menzies,et al.  The \{PROMISE\} Repository of Software Engineering Databases. , 2005 .

[5]  อนิรุธ สืบสิงห์,et al.  Data Mining Practical Machine Learning Tools and Techniques , 2014 .

[6]  Maurizio Morisio,et al.  Success and Failure Factors in Software Reuse , 2002, IEEE Trans. Software Eng..

[7]  D. V. Ashoka,et al.  Application of Data Mining Techniques for Software Reuse Process , 2012 .

[8]  Victor R. Basili,et al.  How reuse influences productivity in object-oriented systems , 1996, CACM.

[9]  David Eichmann,et al.  A Neural Network Paradigm for Characterizing Reusable Software , 1993 .

[10]  Chris F. Kemerer,et al.  A Metrics Suite for Object Oriented Design , 2015, IEEE Trans. Software Eng..

[11]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[12]  Atul Prakash,et al.  Support for Reusability in Genesis , 1988, IEEE Trans. Software Eng..

[13]  Sallie M. Henry,et al.  Object-oriented metrics that predict maintainability , 1993, J. Syst. Softw..

[14]  Vikas Gupta,et al.  Prediction of Reusability of Object Oriented Software Systems using Clustering Approach , 2010 .

[15]  Nasib S. Gill,et al.  Reusability issues in component-based development , 2003, SOEN.

[16]  Zyad Shaaban,et al.  Normalization as a Preprocessing Engine for Data Mining and the Approach of Preference Matrix , 2006, 2006 International Conference on Dependability of Computer Systems.