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Palabras claves o descriptores: MODELING (Comienzo)
2 registros cumplieron la condición especificada en la base de información BIBCYT. ()
Registro 1 de 2, Base de información BIBCYT
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Radjenovic, Alek alek@cs.york.ac.uk
Oprima aquí para enviar un correo electrónico a esta dirección ; Paige, Richard paige@cs.york.ac.uk
Oprima aquí para enviar un correo electrónico a esta dirección
Título: Architecture Description Languages for High-Integrity Real-Time Systems.
Páginas/Colación: pp. 71-78
Url: Ir a http://doi.ieeecomputersociety.org/10.1109/MS.2006.36http://doi.ieeecomputersociety.org/10.1109/MS.2006.36
IEEE Software Vol. 23, no. 2 Mar/Apr 2006
Información de existenciaInformación de existencia

Palabras Claves: Palabras: ARCHITECTURE DESCRIPTION LANGUAGES ARCHITECTURE DESCRIPTION LANGUAGES, Palabras: MODEL DEVELOPMENT MODEL DEVELOPMENT, Palabras: MODELING METHODOLOGIES MODELING METHODOLOGIES, Palabras: SAFETY-CRITICAL SYSTEMS SAFETY-CRITICAL SYSTEMS, Palabras: SOFTWARE ARCHITECTURE SOFTWARE ARCHITECTURE

Resumen
RESUMEN

RESUMEN

 

Safety-critical systems, also known as high-integrity real-time systems (HIRTS), require architecture description languages that model the entire system, rather than specific parts or aspects of the system. ADLs pose unique challenges in their construction. Architecture Information Modeling is an ADL developed in collaboration with the safety industry. AIM provides language flexibility, abstraction layering, custom view creation, a design-by-view process, and safety and change control. A case study demonstrates the application of the AIM concepts in a top-down software design.This article is part of a focus section on software architecture.

 

Registro 2 de 2, Base de información BIBCYT
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Almering , Vincent ; van Genuchten , Michiel ; Cloudt , Ger ; Sonnemans, Peter J.M.
Título: Using Software Reliability Growth Models in Practice
Páginas/Colación: pp. 82-88
Url: Ir a http://doi.ieeecomputersociety.org/10.1109/MS.2007.182http://doi.ieeecomputersociety.org/10.1109/MS.2007.182
IEEE Software Vol. 24, no. 6 Nov./Dec. 2007
Información de existenciaInformación de existencia

Palabras Claves: Palabras: ESTIMATION METHODS ESTIMATION METHODS, Palabras: FAULT PREDICTION FAULT PREDICTION, Palabras: MODELING MODELING, Palabras: SOFTWARE RELIABILITY SOFTWARE RELIABILITY, Palabras: SOFTWARE TESTING SOFTWARE TESTING

Resumen
RESUMEN

RESUMEN

 

Researchers used four software reliability growth models in the final test phases of three embedded software projects to predict the software's remaining faults. They compared the models' predictions to expert predictions and the actual results. The models outperformed the experts in predicting the total number of faults at 25 percent of the elapsed test-time. The researchers concluded that software reliability growth models are useful for supporting management decisions during a software product's final test phases, provided they're combined with results from other estimation methods.

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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