Advanced java bytecode instrumentation
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| Názov: | Advanced java bytecode instrumentation |
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| Autori: | Walter Binder, Jarle Hulaas, Ecole Polytechnique Fédérale |
| Prispievatelia: | The Pennsylvania State University CiteSeerX Archives |
| Zdroj: | http://www.inf.usi.ch/faculty/binder/documents/pppj07.pdf. |
| Informácie o vydavateľovi: | ACM |
| Rok vydania: | 2007 |
| Zbierka: | CiteSeerX |
| Predmety: | Categories and Subject Descriptors D.1.2 [Programming Techniques, Automatic Program- ming, D.2.8 [Software Engineering, Metrics—Perfor- mance measures General Terms Algorithms, Languages, Measurement Keywords Java, JVM, dynamic bytecode instrumentation, program transformations, dynamic metrics, profiling |
| Popis: | Bytecode instrumentation is a valuable technique for trans-parently enhancing virtual execution environments for pur-poses such as monitoring or profiling. Current approaches to bytecode instrumentation either exclude some methods from instrumentation, severely restrict the ways certain methods may be instrumented, or require the use of native code. In this paper we compare different approaches to bytecode in-strumentation in Java and come up with a novel instrumen-tation framework that goes beyond the aforementioned lim-itations. We evaluate our approach with an instrumentation for profiling which generates calling context trees of various platform-independent dynamic metrics. |
| Druh dokumentu: | text |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.8660; http://www.inf.usi.ch/faculty/binder/documents/pppj07.pdf |
| Dostupnosť: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.8660 http://www.inf.usi.ch/faculty/binder/documents/pppj07.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Prístupové číslo: | edsbas.442C62EB |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | Bytecode instrumentation is a valuable technique for trans-parently enhancing virtual execution environments for pur-poses such as monitoring or profiling. Current approaches to bytecode instrumentation either exclude some methods from instrumentation, severely restrict the ways certain methods may be instrumented, or require the use of native code. In this paper we compare different approaches to bytecode in-strumentation in Java and come up with a novel instrumen-tation framework that goes beyond the aforementioned lim-itations. We evaluate our approach with an instrumentation for profiling which generates calling context trees of various platform-independent dynamic metrics. |
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