Descripción
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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
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Si |
Nombre congreso
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Advances in Databases and Information Systems 2017 (ADBIS 2017) |
Tipo de participación
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960 |
Lugar del congreso
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Nicosia, Chipre |
Revisores
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Si |
ISBN o ISSN
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978-3-319-67161-1 |
DOI
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10.1007/978-3-319-67162-8_7 |
Fecha inicio congreso
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24/09/2017 |
Fecha fin congreso
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27/09/2017 |
Desde la página
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54 |
Hasta la página
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62 |
Título de las actas
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New Trends in Databases and Information Systems. ADBIS 2017. Communications in Computer and Information Science. 767 |