Memorias de investigación
Ponencias en congresos:
Predicting Access to Persistent Objects Through Static Code Analysis
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
In this paper, we present a fully-automatic approach to predict access to persistent objects through static code analysis of objectoriented applications. Previous techniques have been based on monitoring application execution and add a non-negligible overhead to its execution time and/or consume a considerable amount of memory. By contrast, our approach achieves high-accuracy prediction through analysis done prior to executing an application and does not add any overhead. We evaluate the approach and compare it with the most common technique used to predict access to persistent objects. The experimental results indicate that our approach offers better accuracy and makes the predictions with more time in advance.
Internacional
Si
Nombre congreso
Advances in Databases and Information Systems 2017 (ADBIS 2017)
Tipo de participación
960
Lugar del congreso
Nicosia, Chipre
Revisores
Si
ISBN o ISSN
978-3-319-67161-1
DOI
10.1007/978-3-319-67162-8_7
Fecha inicio congreso
24/09/2017
Fecha fin congreso
27/09/2017
Desde la página
54
Hasta la página
62
Título de las actas
New Trends in Databases and Information Systems. ADBIS 2017. Communications in Computer and Information Science. 767
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos