Empirical Validation of Three Software Metrics Suites to Predict Fault-Proneness of Object-Oriented Classes Developed Using Highly Iterative or Agile Software Development Processes

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Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems (2008, methodology): “These methods have been widely used to study the relationships between the metrics and fault or change proneness of classes [4], [6], [9], [13], [39], [63], [72].”
Software fault prediction metrics: A systematic literature review (2013, methodology): “size, complexity and OO metrics) do not perform well in finding post-release faults [57,128,136,60],”
Towards identifying software project clusters with regard to defect prediction (2010, methodology): “Such approach was used [2,8,17,18,24 ,25] as well as advocated [5,23] by many researchers.”
Software fault prediction: A literature review and current trends (2011, background): “Olague, Gholston, and Quattlebaum (2007) investigated three software metrics suites on open source Rhino project’s six versions to predict fault-proneness of object-oriented classes developed using highly iterative or agile software development processes.”