Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org
"Software Reliability Early Prediction in Architectural Design Phase: Overview and Limitations"
written by Lalit Kumar Singh, Anil Kumar Tripathi, Gopika Vinod,
published by Journal of Software Engineering and Applications, Vol.4 No.3, 2011
has been cited by the following article(s):
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[14] Programų sistemų, kuriose yra komponentų su būsenomis, architektūrų tyrimas taikant agentais grįstą modeliavimą
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[15] Prediction Strategy for Software Reliability Based on Recurrent Neural Network
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[16] Вероятностные модели и методы оценивания надежности программных средств с учетом вторичных дефектов
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[17] An Impact of Linear Regression Models for Improving the Software Quality with Estimated Cost
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[18] A New Approach to the Quantitative Measurement of Software Reliability
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[19] Statistical Analysis of Defect Removal Effectiveness to Improve the Software Quality and Reducing the Estimated Cost
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[20] Modeling and simulation of software architecture in discrete event system specification for quality evaluation
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[21] A Methodology for Model-Based Reliability Estimation
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[22] A Survey of Defect Prediction on Software Leads to Quality Product
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[23] Efficient Reliability Analysis of Concurrent Software Applications Considering Software Architecture
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[24] Model-driven estimation approach for system reliability using integrated tasks and resources
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[25] The Performance of Software Reliability Models: A View Point
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[26] Toward an Integrated Quality Evaluation of Web Applications with DEVS
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[27] A survey of design model for quality analysis: From a performance and reliability perspective
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[28] Generación Automática de Modelos DEVS a partir de UCM en el Contexto de la Evaluación de Arquitecturas de Software
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[29] Architecture-Based Software Reliability Prediction Approach for Component Based Software
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[30] Analytical Phase wise Analysis of Defect Removal Effectiveness to Enhancing the Software Quality
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