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Herausgeber: 
  • Bernhard Beckert
  • Reiner Hähnle
  • Peter H. Schmitt
  • Verification of Object-Oriented Software. The KeY Approach: Foreword by K. Rustan M. Leino 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2007  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / B / Compilers & interpreters / Compilers and Interpreters / Computer architecture & logic design / Computer logic / Computer programming / software engineering / computer science / Computer Science Logic and Foundations of Programming / Formal Languages and Automata Theory / Logics and Meanings of Programs / Mathematical logic / Mathematical Logic and Formal Languages / Mathematical theory of computation / Programming & scripting languages# general / Programming languages (Electronic computers) / Programming Languages, Compilers, Interpreters / Software Engineering
    ISBN:  9783540689775 
    EAN-Code: 
    9783540689775 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #4334 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1044 gr 
    Seiten:  658 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Long gone are the days when program veri?cation was a task carried out merely by hand with paper and pen. For one, we are increasingly interested in proving actual program artifacts, not just abstractions thereof or core algorithms. The programs we want to verify today are thus longer, including whole classes and modules. As we consider larger programs, the number of cases to be considered in a proof increases. The creative and insightful parts of a proof can easily be lost in scores of mundane cases. Another problem with paper-and-pen proofs is that the features of the programming languages we employ in these programs are plentiful, including object-oriented organizations of data, facilities for specifying di?erent c- trol ?ow for rare situations, constructs for iterating over the elements of a collection, and the grouping together of operations into atomic transactions. These language features were designed to facilitate simpler and more natural encodings of programs, and ideally they are accompanied by simpler proof rules. But the variety and increased number of these features make it harder to remember all that needs to be proved about their uses. As a third problem, we have come to expect a higher degree of rigor from our proofs. A proof carried out or replayed by a machine somehow gets more credibility than one that requires human intellect to understand.

      



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