Results 51 to 60 of about 123 (118)
DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination [PDF]
The accurate prediction of both detected and corrected faults is crucial for enhancing software reliability and determining optimal release times. Traditional Software Reliability Growth Models (SRGMs) often focus on either fault detection or correction,
Shikha Dwivedi +2 more
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FLEXIBLE SOFTWARE RELIABILITY GROWTH MODELS
<p>ENGLISH ABSTRACT: Numerous Software Reliability Growth Models (SRGMs) have been discussed in the literature. These models are used to predict fault content and reliability of software.
P.K. Kapur +3 more
doaj
This paper proposes a generalized model to cover imperfect debugging and the uncertainty of the operating environment and its effect on fault detection rate into software reliability evaluation based on a non-homogeneous Poisson process (NHPP). Many NHPP
Qiuying Li, Hoang Pham
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Imperfect Debugging SRGM with FDP–FCP
Over the past few decades, extensive research has been conducted on software reliability growth models based on the non-homogeneous Poisson process. However, most existing studies rely on the premise of perfect debugging, failing to fully consider key factors such as potential error introduction, the diversity of failure types, and dynamic changes in ...
Xiangyi Qiu, Yinglei Song
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SRGM Dependent Learning based Testing Effort for Refinement
Abstract: During the development of software code there is a pressing necessity to remove the faults or bugs and improve software reliability. To get the accurate result, in every phase of software development cycle assessments needs to be happen, so that in each phase early bugs detection takes place that leads to maintain accuracy at each level.
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Many software reliability growth models (SRGMs) have been proposed in the literature to evaluate the remaining faults and software reliability. The probability of getting failure-free software within a specified period and environment is known as ...
Sujit Kumar Pradhan +2 more
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Software Reliability Prediction Based on Recurrent Neural Network and Ensemble Method
Software reliability is a crucial factor in determining software quality quantitatively. It is also used to estimate the software testing duration. In software reliability testing, traditional parametric software reliability growth models (SRGMs) are ...
Wafa Alshehri +2 more
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The software testing process basically aims at building confidence in the software for its use in real world applications. The reliability of a software system is always important to us.
Javaid Iqbal
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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning
One of the most important aspects in determining the quality of a software product before placing it on the market is its reliability. The main problem in creating effective software that satisfies the user preferences is that it must be highly reliable.
anfal A. Fadhil +2 more
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Software reliability growth models (SRGMs) often assume a linear relationship between the fault detection rate (FDR) and testing effort function (TEF), which fails to capture their dynamic and nonlinear characteristics.
Yixin Qiao +4 more
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