Results 41 to 50 of about 9,202 (166)
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 ...
Qiuying Li, Hoang Pham
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Improved prediction of software defect: A particle swarm optimization based ELM approach
Ensuring software reliability before deployment is essential, as human errors during development are a major source of defects. Identifying and resolving these issues at an early stage can greatly minimize their impact.
Debasish Pradhan, Debendra Muduli
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Rough Noise-Filtered Easy Ensemble for Software Fault Prediction
Software fault prediction is the very important research topic for software quality assurance. Data-driven approaches provide robust mechanisms to deal with software fault prediction. However, the prediction performance of the model highly depends on the
Saman Riaz, Ali Arshad, Licheng Jiao
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Optimal Release Time Estimation of Software System using Box-Cox Transformation and Neural Network [PDF]
The determination of the software release time for a new software product is the most critical issue for designing and controlling software development processes.
Momotaz Begum, Tadashi Dohi
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Feature Selection Using Golden Jackal Optimization for Software Fault Prediction
A program’s bug, fault, or mistake that results in unintended results is known as a software defect or fault. Software flaws are programming errors due to mistakes in the requirements, architecture, or source code. Finding and fixing bugs as soon as they
Himansu Das +5 more
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Research on Software Fault Feature Data Extraction Method for Software Fault Prediction Technology
The correlation between software failure characteristics and software failure directly determines the predictive performance of the failure prediction model. The extraction of software fault features is crucial for building equipment software fault prediction models, and is an important process to ensure accurate prediction. However, the software fault
Yan, Ran +3 more
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Salp swarm optimizer for modeling the software fault prediction problem
This paper proposes the salp swarm algorithm (SSA) combined with a backpropagation neural network (BPNN) to solve the software fault prediction (SFP) problem.
Sofian Kassaymeh +3 more
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Prediction of Fault Fix Time Transition in Large-Scale Open Source Project Data
Open source software (OSS) programs are adopted as embedded systems regarding their server usage, due to their quick delivery, cost reduction, and standardization of systems.
Hironobu Sone +2 more
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What Ruined Your Cake: Impacts of Code Modifications on Bug Distribution
In the current decade, software systems have been more intensively employed in every aspect of our lives. However, it is disappointing that the quality of software is far from satisfactory.
Jun Ai, Haoran Guo, W. Eric Wong
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Iterative software fault prediction with a hybrid approach
Display Omitted To make software fault prediction (SFP) more beneficial, it should be into service at the beginning of the project.A novel prediction methodology based on existing methods (i.e. FIS, ANN) are proposed here.Version based development of software projects are considered to design an iterative prediction approach.Proposed methodology is ...
Erturk, Ezgi, Sezer, Ebru Akcapinar
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