Statistical Testing Based Software Reliability Estimation While Considering Other Knowledge about a Program

2010 ◽  
Author(s):  
Jiong Yan ◽  
Chang-Hong Deng ◽  
Meng-Luo Ji
Keyword(s):  
Software Reliability ◽  
Reliability Estimation ◽  
Statistical Testing

SPC BASED SOFTWARE RELIABILITY ESTIMATION: Duane Model

2017 ◽  
Vol 73 (5) ◽  
Author(s):  
G. Krishna Mohan ◽  
R. Satyaprasad ◽  
N. V. K. Stanley Raju
Keyword(s):  
Software Reliability ◽  
Reliability Estimation ◽  
Duane Model

scholarly journals Modeling Software Fault-Detection and Fault-Correction Processes by Considering the Dependencies between Fault Amounts

2021 ◽  
Vol 11 (15) ◽  
pp. 6998
Author(s):  
Qiuying Li ◽  
Hoang Pham
Keyword(s):  
Time Delay ◽  
Fault Detection ◽  
Software Reliability ◽  
Growth Models ◽  
Predictive Performance ◽  
Real Data ◽  
Reliability Estimation ◽  
Model Parameters ◽  
Dual Processes ◽  
Correction Process

Many NHPP software reliability growth models (SRGMs) have been proposed to assess software reliability during the past 40 years, but most of them have focused on modeling the fault detection process (FDP) in two ways: one is to ignore the fault correction process (FCP), i.e., faults are assumed to be instantaneously removed after the failure caused by the faults is detected. However, in real software development, it is not always reliable as fault removal usually needs time, i.e., the faults causing failures cannot always be removed at once and the detected failures will become more and more difficult to correct as testing progresses. Another way to model the fault correction process is to consider the time delay between the fault detection and fault correction. The time delay has been assumed to be constant and function dependent on time or random variables following some kind of distribution. In this paper, some useful approaches to the modeling of dual fault detection and correction processes are discussed. The dependencies between fault amounts of dual processes are considered instead of fault correction time-delay. A model aiming to integrate fault-detection processes and fault-correction processes, along with the incorporation of a fault introduction rate and testing coverage rate into the software reliability evaluation is proposed. The model parameters are estimated using the Least Squares Estimation (LSE) method. The descriptive and predictive performance of this proposed model and other existing NHPP SRGMs are investigated by using three real data-sets based on four criteria, respectively. The results show that the new model can be significantly effective in yielding better reliability estimation and prediction.

scholarly journals Sequential Bayesian technique: An alternative approach for software reliability estimation

Sadhana ◽  
2009 ◽  
Vol 34 (2) ◽  
pp. 235-241 ◽  
Author(s):  
S. Chatterjee ◽  
S. S. Alam ◽  
R. B. Misra
Keyword(s):  
Software Reliability ◽  
Reliability Estimation ◽  
Alternative Approach
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