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Volumn , Issue , 2008, Pages 59-70

A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications

Author keywords

Dataflow analysis; Escape analysis; Framework intensive applications; Java; Performance; Program understanding

Indexed keywords

BASIC BLOCKS; EMPIRICAL EVALUATIONS; EMPIRICAL RESULTS; ESCAPE ANALYSIS; JAVA APPLICATIONS; METHOD INVOCATION; PERFORMANCE BOTTLENECKS; PROGRAM UNDERSTANDING; WEB APPLICATION;

EID: 67650812903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1453101.1453111     Document Type: Conference Paper
Times cited : (77)

References (28)
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  • 12
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    • Gupta, R.1    Soffa, M.L.2    Howard, J.3
  • 17
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    • Scaling Java points-to analysis using Spark
    • G. Hedin, editor, April, LNCS
    • O. Lhot́ak and L. Hendren. Scaling Java points-to analysis using Spark. In G. Hedin, editor, 12th Intl Conf. on Comp. Const. (CC'03), volume 2622 of LNCS, pages 153-169, April 2003.
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    • Marlowe, T.J.1    Ryder, B.G.2
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    • Dimensions of precision in reference analysis of object-oriented programming languages
    • April
    • B. G. Ryder. Dimensions of precision in reference analysis of object-oriented programming languages. In invited paper in the Proc. of the Twelfth Intl Conf. on Comp. Constr., pages 126-137, April 2003.
    • (2003) Invited Paper in the Proc. of the Twelfth Intl Conf. on Comp. Constr. , pp. 126-137
    • Ryder, B.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.