A new approach for software fault prediction using feature selection

JANUARY 10, 2019 by Ingrid Fadelli , Tech Xplore Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. Their approach employs feature selection (FS) to enhance the performance of a layered recurrent neural […]


Defining Constraints Constraints are logical conditions that a solution to an optimization problem must satisfy.  They reflect real-world limits on production capacity, market demand, available funds, and so on.  To define a constraint, you first compute the value of interest using the decision variables.  Then you place an appropriate limit (<=, = or >=) on this computed value.  The […]