We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
Many phenomena related to software development are qualitative in nature. Relevant measures of such phenomena are often collected using semi-structured interviews. Such interviews...
As mobile applications become more pervasive, the need for assessing their quality, particularly in terms of efficiency (i.e. performance and resource utilisation), increases. Alt...
Non-functional specifications of software components are considered an important asset in constructing dependable systems, since they enable early Quality of Service (QoS) evaluati...
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