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Palabras claves o descriptores: MODELS (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: Siponen, Mikko ; Mahmood,, M. Adam ; Pahnila, Seppo
Título: Are Employees Putting Your Company At Risk By Not Following Information Security Policies?
Páginas/Colación: pp. 145-147
Fecha: December 2009
Communications of the ACM Vol. 52, no 12 December 2009
Información de existenciaInformación de existencia

Palabras Claves: Palabras: INFORMATION SYSTEMS INFORMATION SYSTEMS, Palabras: MODELS AND PRINCIPLES MODELS AND PRINCIPLES, Palabras: User/Machine Systems User/Machine Systems

Resumen
Careless employees, who do not follow information security policies, constitute a serious threat to their organization. We conducted a field survey in order to understand which factors help towards employees' compliance with these security policies. Our research shows that the visibility of the desired practices and normative expectations of peers will provide a solid foundation towards employees complying with these policies.

Registro 2 de 2, Base de información BIBCYT
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Rugaber, Spencer ; Stirewalt, Kurt
Título: Model-Driven Reverse Engineering
Páginas/Colación: pp. 45-53
Url: Ir a http://doi.ieeecomputersociety.org/10.1109/MS.2004.23http://doi.ieeecomputersociety.org/10.1109/MS.2004.23
IEEE Software Vol. 21, no. 4 July/Aug 2004
Información de existenciaInformación de existencia

Palabras Claves: Palabras: ALGEBRAIC SPECIFICATIONS ALGEBRAIC SPECIFICATIONS, Palabras: DESIGN REPRESENTATION DESIGN REPRESENTATION, Palabras: DOMAIN ENGINEERING DOMAIN ENGINEERING, Palabras: MODELS MODELS, Palabras: REVERSE ENGINEERING REVERSE ENGINEERING

Resumen
RESUMEN

RESUMEN

 

Managing software maintenance projects is difficult, particularly when the project being managed includes programs written by a different group or even a different company. Reverse engineering is an attractive technique to help understand a foreign program, but managing reverse-engineering efforts is difficult due to the lack of fixed standards for productivity and quality. Model-driven reverse engineering can help solve this problem. In particular, MDRE uses models to predict how much time a reverse-engineering effort will require and to provide a quality standard to evaluate that effort. This, in turn, enables better effort prediction and quality evaluation, reducing development risk. This article describes a particular approach to MDRE and presents an example of its use.

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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