Software Health Measurement Method Based on Aging-related Bugs

Abstract

Aging-related bugs can lead to software aging, whose performance is the slow response on software system though the software does not crash. This paper aims to propose the measurement method of software health to quantitatively show the impact of aging-related bugs on software. The effect of the bugs and the elements were analyzed. The Gaussian mixture model was developed to measure the degree of software health, which provide the basis for the software failure alarming and failure prediction. Finally, the details of the method were shown by a case study on Hadoop Distributed File System.