DocumentCode
1451219
Title
Lightweight extraction of object models from bytecode
Author
Jackson, Daniel ; Waingold, Allison
Author_Institution
Lab. for Comput. Sci., MIT, Cambridge, MA, USA
Volume
27
Issue
2
fYear
2001
fDate
2/1/2001 12:00:00 AM
Firstpage
156
Lastpage
169
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;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/32.908960
Filename
908960
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