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Autor(en): 
  • Bernhard Scholz
  • Thomas Fahringer
  • Advanced Symbolic Analysis for Compilers: New Techniques and Algorithms for Symbolic Program Analysis and Optimization 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  April 2003  
    Genre:  EDV / Informatik 
     
    abstractinterpretation / Algorithms / Betriebssysteme / Compiler / compileroptimization / dataflowrepresentation / ProgramAnalysis / programanalysisalgorithms
    ISBN:  9783540011859 
    EAN-Code: 
    9783540011859 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #2628 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 9 mm 
    Gewicht:  236 gr 
    Seiten:  148 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.
      



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