Results 71 to 80 of about 123 (118)

An Imperfect SRGM based on NHPP

2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021
SRGMs (Software Reliability Growth Models) are the probabilistic and statistical models widely used to evaluate software reliability. They explain how the reliability of the software varies over time by investigating failure data as the testing progresses. The paper presents a new SRGM in an imperfect debugging environment. The proposed model considers
Md. Asraful Haque, Nesar Ahmad
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Scope for Future Extension to SRGM

2021
The weighted distributions used in research related to reliability, bio-medicine, ecology, and several other areas are of tremendous practical importance in mathematics, probability, and statistics.
David D. Hanagal, Nileema N. Bhalerao
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An exponential SRGM with a bound on the number of failures

Microelectronics Reliability, 1993
Abstract An exponential software reliability growth model (SRGM) incorporating a situation where more than one failure can be attributed to one fault/error has been proposed. Different model parameters have been estimated and an optimal release policy which minimizes the software cost, subject to achieving a given level of reliability, has been ...
P.K. Kapur, Shakti Bhushan, Said Younes
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SRGMs Based on Stochastic Differential Equations

2009 Second International Conference on Communication Theory, Reliability, and Quality of Service, 2009
This paper presents a software reliability growth model based on type Stochastic Differential Equation. As the size of a software system is large, the number of faults detected during the testing phase becomes large ; the change of the number of faults, which are detected and removed through each debugging, becomes sufficiently small compared with the ...
Archana Kumar, Pramod Kumar Kapur
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An NHPP-Based SRGM with Time Dependent Growth Process

2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021
The mathematical model that is used to forecast how software reliability will improve over time when errors are identified and resolved, known as a “Software Reliability Growth Model” or in short SRGM. These models assist the management in determining how much time and effort should be dedicated to testing.
Md. Asraful Haque, Nesar Ahmad
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Unification of SRGM

2011
We are aware that it is the computer systems on which the entire modern information society rolls over. Computer hardware systems have attained high productivity, quality and reliability but it is still not true for the software systems. Software engineers and concerned managements put more labor for improving these characteristics of software nowadays.
P. K. Kapur, H. Pham, A. Gupta, P. C. Jha   +3 more
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An NHPP SRGM with Change Point and Multiple Releases

International Journal of Information Systems in the Service Sector, 2016
In an environment of intense competition, software upgrades have become the necessity for the survival in software industry. In this paper, the authors propose a discrete Software Reliability Growth Model (SRGM) for the software with successive releases by taking into consideration the realistic assumption that Fault Removal Rate (FRR) may not remain ...
Abhishek Tandon, Anu G. Aggarwal 0001, Nidhi Nijhawan   +2 more
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On the Viability of Using SRGMs for IT Help Desk Incident Predictions

2015 IEEE International Conference on Software Quality, Reliability and Security, 2015
In this case study we investigate software reliability models and their applicability to process improvement at an IT help desk. We propose a model selection framework and demonstrate its success using real help desk incident data from a portfolio of 156 desktop software applications.
Anneliese Andrews, Joseph Lucente
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SRGM Using SDE

2011
A number of NHPP based SRGM have been discussed in the previous chapters. These models treat the event of software fault detection/removal in the testing and operational phase as a counting process in discrete state space. If the size of software system is large, the number of software faults detected during the testing phase becomes large, and the ...
P. K. Kapur, H. Pham, A. Gupta, P. C. Jha   +3 more
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Artificial Neural Networks Based SRGM

2011
An Artificial Neural Network (ANN) is a computational paradigm that is inspired by the behavior of biological nervous systems, such as the brain, to process information. The key element of this paradigm is the novel structure of the information processing system.
P. K. Kapur, H. Pham, A. Gupta, P. C. Jha   +3 more
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