This paper shows how data flow analysis can be used to infer type information related to Java bytecode, and evaluates this approach. All the elements needed to specify, the data flow,problem to be software conveniently defined, according to the theory on data flow frameworks, along with algorithms to build them automatically from the Java bytecode. To evaluate the approach, we consider the specific problem of statically determining the set of methods potentially invoked by each method call instruction, which is useful for several purposes, such as building accurate call graphs. Experimental results are presented showing that data flow analysis can improve the accuracy of the results with respect to other simpler techniques at acceptable costs.
Using Data Flow Analysis to Infer Type Information in Java Bytecode / Maggi, Paolo; Sisto, Riccardo. - STAMPA. - (2001), pp. 211-222. (Intervento presentato al convegno SCAM 2001 - 1st Int. Workshop on Source Code Analysis and Manipulation tenutosi a Florence, Italy nel NOV 10, 2001) [10.1109/SCAM.2001.972683].
Using Data Flow Analysis to Infer Type Information in Java Bytecode
MAGGI, PAOLO;SISTO, Riccardo
2001
Abstract
This paper shows how data flow analysis can be used to infer type information related to Java bytecode, and evaluates this approach. All the elements needed to specify, the data flow,problem to be software conveniently defined, according to the theory on data flow frameworks, along with algorithms to build them automatically from the Java bytecode. To evaluate the approach, we consider the specific problem of statically determining the set of methods potentially invoked by each method call instruction, which is useful for several purposes, such as building accurate call graphs. Experimental results are presented showing that data flow analysis can improve the accuracy of the results with respect to other simpler techniques at acceptable costs.Pubblicazioni consigliate
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https://hdl.handle.net/11583/1418130
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