This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...
To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set bas...
The problem of managing the evolution of complex and large software systems is well known. Evolution implies reuse and modification of existing software artifacts, and this means t...
The incorporation of social issues in software engineering is limited. Still, during the last 20 years the social element inherent in software development has been addressed in a ...
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001