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001 978-3-540-36614-0
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020 _a9783540366140
_9978-3-540-36614-0
024 7 _a10.1007/3-540-36614-8
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
072 7 _aUMZ
_2thema
082 0 4 _a005.1
_223
100 1 _aFahringer, Thomas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aAdvanced Symbolic Analysis for Compilers
_h[electronic resource] :
_bNew Techniques and Algorithms for Symbolic Program Analysis and Optimization /
_cby Thomas Fahringer, Bernhard Scholz.
250 _a1st ed. 2003.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2003.
300 _aXII, 136 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2628
505 0 _aSymbolic Analysis of Programs -- Generating Program Contexts -- Symbolic Analysis Algorithms and Transformations -- Symbolic Analysis for Parallelizing Compilers -- Related Work -- Conclusion.
520 _aThe objective of program analysis is to automatically determine the p- perties of a program. Tools of software development, such as compilers, p- formance estimators, debuggers, reverse-engineering tools, program veri?- tion/testing/proving systems, program comprehension systems, and program specializationtoolsarelargelydependentonprogramanalysis. Advancedp- gram analysis can: help to ?nd program errors; detect and tune performan- critical code regions; ensure assumed constraints on data are not violated; tailor a generic program to suit a speci?c application; reverse-engineer so- ware modules, etc. A prominent program analysis technique is symbolic a- lysis, which has attracted substantial attention for many years as it is not dependent on executing a program to examine the semantics of a program, and it can yield very elegant formulations of many analyses. Moreover, the complexity of symbolic analysis can be largely independent of the input data size of a program and of the size of the machine on which the program is being executed. In this book we present novel symbolic control and data ?ow repres- tation techniques as well as symbolic techniques and algorithms to analyze and optimize programs. Program contexts which de?ne a new symbolic - scription of program semantics for control and data ?ow analysis are at the center of our approach. We have solved a number of problems encountered in program analysis by using program contexts. Our solution methods are e?cient, versatile, uni?ed, and more general (they cope with regular and irregular codes) than most existing methods.
650 0 _aSoftware engineering.
650 0 _aCompilers (Computer programs).
650 0 _aOperating systems (Computers).
650 0 _aComputer science.
650 1 4 _aSoftware Engineering.
650 2 4 _aCompilers and Interpreters.
650 2 4 _aOperating Systems.
650 2 4 _aComputer Science Logic and Foundations of Programming.
700 1 _aScholz, Bernhard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540011859
776 0 8 _iPrinted edition:
_z9783662205839
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2628
856 4 0 _uhttps://doi.org/10.1007/3-540-36614-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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942 _cSPRINGER
999 _c188702
_d188702