Advanced symbolic analysis for compilers : new techniques and algorithms for symbolic program analysis and optimization

The 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 special...

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Autori principali: Fahringer, Thomas, 1965-, Scholz, Bernhard, 1972- (Autore)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serie:Lecture notes in computer science 2628
Soggetti:
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Edition sous un autre format:• Advanced symbolic analysis for compilers, new techniques and algorithms for symbolic program analysis and optimization, Thomas Fahringer, Bernhard Scholz, Berlin, Springer, 2003, 1 vol. (XII-129 p.), Lecture notes in computer science, 3-540-01185-4
• Advanced Symbolic Analysis for Compilers, Texte imprimé, 9783662205839
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100 1 |a Fahringer, Thomas,  |d 1965- 
245 1 0 |a Advanced symbolic analysis for compilers :  |b new techniques and algorithms for symbolic program analysis and optimization   |c Thomas Fahringer, Bernhard Scholz. 
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505 0 |a Symbolic Analysis of Programs -- Generating Program Contexts -- Symbolic Analysis Algorithms and Transformations -- Symbolic Analysis for Parallelizing Compilers -- Related Work -- Conclusion. 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a The 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 |a Génie logiciel 
650 |a Informatique 
650 |a Algorithmes 
650 |a Langages de programmation 
650 |a Systèmes d'exploitation (ordinateurs) 
650 |a Compilateurs (logiciels) 
700 1 |a Scholz, Bernhard,  |d 1972-  |4 aut 
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