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Interprocedural control dependence
Author(s) -
Saurabh Sinha,
Mary Jean Harrold,
Gregg Rothermel
Publication year - 2001
Publication title -
acm transactions on software engineering and methodology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 78
eISSN - 1557-7392
pISSN - 1049-331X
DOI - 10.1145/367008.367022
Subject(s) - computer science , programming language , dependence analysis , code (set theory) , control (management) , function (biology) , artificial intelligence , set (abstract data type) , evolutionary biology , biology
Program-dependence information is useful for a variety of applications, such as software testing and maintenance tasks, and code optimization. Properly defined, control and data dependences can be used to identify semantic dependences. To function effectively on whole programs, tools that utilize dependence information require information about interprocedural dependences: dependences that are identified by analyzing the interactions among procedures. Many techniques for computing interprocedural data dependences exist; however, virtually no attention has been paid to interprocedural control dependence. Analysis techniques that fail to account for interprocedural control dependences can suffer unnecessary imprecision and loss of safety. This article presents a definition of interprocedural control dependence that supports the relationship of control and data dependence to semantic dependence. The article presents two approaches for computing interprocedural control dependences, and empirical results pertaining to teh use of those approaches.

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