Interprocedural side-effect analysis in linear time
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Optimal code motion: theory and practice
ACM Transactions on Programming Languages and Systems (TOPLAS)
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Field analysis: getting useful and low-cost interprocedural information
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Global optimization by suppression of partial redundancies
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A schema for interprocedural modification side-effect analysis with pointer aliasing
ACM Transactions on Programming Languages and Systems (TOPLAS)
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Parameterized object sensitivity for points-to and side-effect analyses for Java
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An efficient way to find the side effects of procedure calls and the aliases of variables
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Adapting side effects analysis for modular program model checking
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CC'03 Proceedings of the 12th international conference on Compiler construction
Purity and side effect analysis for java programs
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Side-effect analysis with fast escape filter
Proceedings of the ACM SIGPLAN International Workshop on State of the Art in Java Program analysis
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We introduce a new approach to computing interprocedural modification side effects for part of an object-oriented program (e.g., components, libraries or client modules). Our approach consists of first performing a whole-program points-to analysis to such an incomplete program and then applying a so-called mutability analysis (MA) to determine which objects in the program are mutable by unknown code and which references and call sites in the program are complete (since their points-to sets and target methods are statically resolvable). Based on these results, we present a new MA-based interprocedural side-effect analysis for computing the modification side-effects for an incomplete program. Our experimental results show that our mutability analysis enables a variety of pure methods to be detected, yielding the purity information useful in program understanding and debugging. In addition, our MA-based side-effect analysis enables more redundant loads to be removed than a recent TBAA-based PRE algorithm guided by type-based alias analysis (TBAA). Our approach is simple since it is flow-insensitive and achieves these improvements at small costs.