Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The high cost and growing importance of interprocedural data flow analysis have led to an increased interest in demand-driven algorithms. In this article,  present a general framework for developing demand-driven interprocedural data flow analyzers and report our experience in evaluating the performance of this approach. A demand for data flow information is modeled as a set of queries. The framework includes a generic demand-driven algorithm that determines the response to query by iteratively applying a system of query propagation rules. The propagation rules yield precise responses for the class of distributive finite data flow problems.  also describe a two-phase framework variation to accurately handle nondistributive problems. A performance evaluation of our demand-driven  approach is presented for two data flow problems, namely, reaching-definitions and copy constant propagation. Our experiments show that demand-driven analysis performs ll in practice, reducing both time and space requirements when compared with exhaustive analysis.
['Evelyn Duesterwald', 'Rajiv Gupta', 'Mary Lou Soffa']
I am writing a research paper on a idea A practical framework for demand-driven interprocedural data flow analysis
[{"from": "human", "value": "I am writing a research paper on a idea A practical framework for demand-driven interprocedural data flow analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The high cost and growing importance of interprocedural data flow analysis have led to an increased interest in demand-driven algorithms. In this article,  present a general framework for developing demand-driven interprocedural data flow analyzers and report our experience in evaluating the performance of this approach. A demand for data flow information is modeled as a set of queries. The framework includes a generic demand-driven algorithm that determines the response to query by iteratively applying a system of query propagation rules. The propagation rules yield precise responses for the class of distributive finite data flow problems.  also describe a two-phase framework variation to accurately handle nondistributive problems. A performance evaluation of our demand-driven  approach is presented for two data flow problems, namely, reaching-definitions and copy constant propagation. Our experiments show that demand-driven analysis performs ll in practice, reducing both time and space requirements when compared with exhaustive analysis."}]