Predicting class libraries interface evolution: an investigation into machine learning approaches

Abstract

Managing the evolution of an 00 system constitutes a complex and resource-consuming task. This is particularly true for reusable class libraries since the user interface must be preserved for version compatibility. Thus, the symptomatic detection of potential instabilities during the design phase of such libraries may h e k avoid later problems. This paper… (More)
DOI: 10.1109/APSEC.2000.896734

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