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Automatic program transformation with JOIE

Publication ,  Conference
Cohen, GA; Chase, JS; Kaminsky, DL
Published in: USENIX 1998 Annual Technical Conference
January 1, 2019

While the availability of platform-independent code on the Internet is increasing, third-party code rarely exhibits all of the features desired by end users. Unfortunately, developers cannot foresee and provide for all possible extensions. In this paper, we describe load-time transformation, a stage in the program development lifecycle in which classes are modified at load time according to usersupplied directives. This allows the users to select transformations that add new features, customize the implementation of existing features, and apply the changes to all classes in the environment. The Java Object Instrumentation Environment (JOIE) is a toolkit for constructing transformations of Java classes. An enhanced class loader calls user-supplied transformers that specify rules for transforming target classes. We describe some applications of load-time transformation, including extending the Java environment, integrating classes with specialized environments, and adding functionality directly to classes.

Duke Scholars

Published In

USENIX 1998 Annual Technical Conference

Publication Date

January 1, 2019
 

Citation

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Cohen, G. A., Chase, J. S., & Kaminsky, D. L. (2019). Automatic program transformation with JOIE. In USENIX 1998 Annual Technical Conference.
Cohen, G. A., J. S. Chase, and D. L. Kaminsky. “Automatic program transformation with JOIE.” In USENIX 1998 Annual Technical Conference, 2019.
Cohen GA, Chase JS, Kaminsky DL. Automatic program transformation with JOIE. In: USENIX 1998 Annual Technical Conference. 2019.
Cohen, G. A., et al. “Automatic program transformation with JOIE.” USENIX 1998 Annual Technical Conference, 2019.
Cohen GA, Chase JS, Kaminsky DL. Automatic program transformation with JOIE. USENIX 1998 Annual Technical Conference. 2019.

Published In

USENIX 1998 Annual Technical Conference

Publication Date

January 1, 2019