Title :
Lightweight extraction of object models from bytecode
Author :
Jackson, Daniel ; Waingold, Allison
Author_Institution :
Lab. for Comput. Sci., MIT, Cambridge, MA, USA
fDate :
2/1/2001 12:00:00 AM
Abstract :
A program´s object model captures the essence of its design. For some programs, no object model was developed during design; for others, an object model exists but may be out-of-sync with the code. This paper describes a tool that automatically extracts an object model from the class-files of a Java program. Unlike existing tools, it handles container classes by inferring the types of elements stored in a container and eliding the container itself. This feature is crucial for obtaining models that show the structure of the abstract state and bear some relation to conceptual models. Although the tool performs only a simple, heuristic analysis that is almost entirely local, the resulting object model is surprisingly accurate. The paper explains what object models are and why they are useful; describes the analysis, its assumptions, and limitations; evaluates the tool for accuracy, and illustrates its use on a suite of sample programs
Keywords :
Java; abstract data types; object-oriented programming; reverse engineering; Java program; abstract state; bytecode; class-files; container classes; heuristic analysis; lightweight object model extraction; Computer Society; Computer science; Containers; Feature extraction; Java; Performance analysis; Reverse engineering;
Journal_Title :
Software Engineering, IEEE Transactions on