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ASSUMPTION HIERARCHY FOR A CHA CALL GRAPH CONSTRUCTION ALGORITHM JASON SAWIN & ATANAS ROUNTEV.

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Presentation on theme: "ASSUMPTION HIERARCHY FOR A CHA CALL GRAPH CONSTRUCTION ALGORITHM JASON SAWIN & ATANAS ROUNTEV."— Presentation transcript:

1 ASSUMPTION HIERARCHY FOR A CHA CALL GRAPH CONSTRUCTION ALGORITHM JASON SAWIN & ATANAS ROUNTEV

2 Call Graphs Represent the calling relationships between methods Critical component in many interprocedural static analyses Unsound when applied to applications which use dynamic features

3 Dynamic Features of Java Dynamic Class Loading –Ability to install classes at run time Reflection –Ability to examine or modify run-time behavior of a running application JVM –Implicitly calls certain code elements Native Method –Ability to interface with libraries written in non-Java languages

4 Dynamic Features in Action Class c; String className; Method m; Object h;... Class c = Class.forName(className, true, cl); m = c.getMethod("handle", …); h = c.newInstance(); m.invoke(h,…)...

5 CHA Call Graph Construction Algorithm Class Hierarchy Analysis (CHA) –For every virtual call site e.m(…) where T is the static type of e, it examines all subtypes of T for methods which override m(…) –The set of overriding methods are considered possible targets of the call

6 CHA and Dynamic Features Every implementation of CHA makes assumptions about dynamic features –Wide range of possible assumptions Very conservative to unsound Different assumptions allow for different resolution techniques –String analysis –Cast information

7 Assumption Hierarchy Behaved-CLS: Dynamic features could call every method Encap-Respect: Dynamic features respect normal encapsulation bounds Correct Casting: Allows for casing information to be used to resolve certain features Correct-String: Allows for use of a string analysis Correct-Env: Allows for use of a semi static string analysis

8 Experimental Results: Edges

9 Summary of Results The Correct-Env version of CHA created a graphs that contained, on average, 10% fewer nodes and 54% fewer edges than the fully conservative version The Correct-Env version was able to resolve an average of 6% of reflective invocation calls, 50% of dynamic class loading sites, and 61% of reflective instantiation sites Under very reasonable assumptions, a much more precise call graph can be created

10 Conclusion We created a hierarchy of assumptions that could be used to classify future analyses We incorporated several new techniques for resolving dynamic features into a CHA Call Graph Our experiments showed that assumptions have a significant impact on the graph produced


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