Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Robust regression and outlier detection
Robust regression and outlier detection
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Software field failure rate prediction before software deployment
Journal of Systems and Software
An integration of fault detection and correction processes in software reliability analysis
Journal of Systems and Software - Special issue: Selected papers from the 4th source code analysis and manipulation (SCAM 2004) workshop
Hi-index | 0.00 |
We present an anisotropic Laplace test statistic for software reliability growth enhancement. The proposed approach is defined as a nonlinear function of the Laplace trend test using redescending stabilization functions. The goal of stabilization functions is to deal with the problem of increasing reliability growth by taking into account the absence of activity in the system. Experimental results with real software failure data illustrate the effectiveness and the much improved performance of the proposed method in software reliability.