| Título: | A Comparative study of Software Reliability models using SPC on ungrouped data |
| Autores: |
Gonuguntla, Krishna Mohan; P.B.Siddhartha College
P.G.Centre, Moghalrajpuram
Krishna(Dist)
Andhrapradesh B, Srinivasa rao; Associate Professor Dept. of Compute Science VRS & YRN College Chirala Andhrapradesh R, Satya prasad; Acharya Nagarjuna university Nagarjuna nagar Guntur Andhrapradesh |
| Fecha: | 2013-08-22 |
| Publicador: | EJCSIT: Electronic journal of computer science and information technology |
| Fuente: |
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| Tipo: | Peer-reviewed Article |
| Tema: | No aplica |
| Descripción: | Control charts are widely used for process monitoring. Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. If not many, few researchers proposed SPC based software reliability monitoring techniques to improve Software Reliability Process. In this paper we propose a control mechanism based on the cumulative quantity between observations of time domain failure data using mean value function of Weibull and Goel-Okumoto distribution, which are based on Non Homogenous Poisson Process (NHPP). The Maximum Likelihood Estimation (MLE) method is used to derive the point estimators of the distributions. |
| Idioma: | Inglés |