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- W2154620002 abstract "Call graphs depict the static, caller-callee relation between functions in a program. With most source/target languages supporting functions as the primitive unit of composition, call graphs naturally form the fundamental control flow representation available to understand/develop software. They are also the substrate on which various inter- procedural analyses are performed and are integral part of program comprehension/testing. Given their universality and usefulness, it is imperative to ask if call graphs exhibit any intrinsic graph theoretic features - across versions, program domains and source languages. This work is an attempt to answer these questions: we present and investigate a set of meaningful graph measures that help us understand call graphs better; we establish how these measures correlate, if any, across different languages and program domains; we also assess the overall, language independent software quality by suitably interpreting these measures." @default.
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- W2154620002 date "2008-06-01" @default.
- W2154620002 modified "2023-10-16" @default.
- W2154620002 title "Structure and Interpretation of Computer Programs" @default.
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- W2154620002 doi "https://doi.org/10.1109/tase.2008.40" @default.
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