Recognising object-oriented software design quality: a practitioner-based questionnaire survey
Author:
Funder
University of Strathclyde
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Software
Link
http://link.springer.com/article/10.1007/s11219-017-9364-8/fulltext.html
Reference86 articles.
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2. Al Dallal, J. (2013). Object-oriented class maintainability prediction using internal quality attributes. Information and Software Technology, 55(11), 2028–2048.
3. Al Dallal, J., & Briand, L. (2012). A precise method-method interaction-based cohesion metric for object-oriented classes. ACM Transactions on Software Engineering and Methodology (TOSEM), 21(2), 8.
4. Al Dallal, J., & Morasca, S. (2014). Predicting object-oriented class reuse-proneness using internal quality attributes. Empirical Software Engineering, 19(4), 775–821.
5. Ayewah, N., Hovemeyer, D., Morgenthaler, J. D., Penix, J., & Pugh, W. (2008). Using static analysis to find bugs. IEEE Software, 25(5), 22–29.
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