Chava: Reverse engineering and tracking of java applets (1999) [25 citations — 1 self]
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@INPROCEEDINGS{Korn99chava:reverse,author = {Jeffrey Korn and Yih-farn Chen and Eleftherios Koutsofios},
title = {Chava: Reverse engineering and tracking of java applets},
booktitle = {In Proc. Working Conference on Reverse Engineering},
year = {1999},
pages = {314--325}
}
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Abstract:
Java applets have been used increasingly on web sites to perform client-side processing and provide dynamic content. While many web site analysis tools are available, their focus has been on static HTML content and most ignore applet code completely. This paper presents Chava, a system that analyzes and tracks changes in Java applets. The tool extracts information from applet code about classes, methods, fields and their relationships into a relational database. Supplementary checksum information in the database is used to detect changes in two versions of a Java applet. Given our Java data model, a suite of programs that query, visualize, and analyze the structural information were generated automatically from CIAO, a retargetable reverse engineering system. Chava is able to process either Java source files or compiled class files, making it possible to analyze remote applets whose source code is unavailable. The information can be combined with HTML analysis tools to track both the static and dynamic content of many websites. This paper presents our data model for Java and describes the implementation of Chava. We give some examples of advanced analysis tasks such as reachability and clustering analysis. We also used our database differencing technologies to compare several Java Development Kit (JDK) versions. We show how Chava can help spot changes that might impact Java developers. Performance numbers indicate that the tool scales well.
