Automated and Algorithmic Debugging

First International Workshop, AADEBUG '93, Linköping, Sweden, May 3-5, 1993. Proceedings
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ISBN-13:
9783540574170
Veröffentl:
1993
Einband:
Paperback
Erscheinungsdatum:
10.11.1993
Seiten:
388
Autor:
Peter A. Fritzson
Gewicht:
587 g
Format:
235x155x21 mm
Serie:
749, Lecture Notes in Computer Science
Sprache:
Englisch
Beschreibung:

Debugging has always been a costly part of softwaredevelopment, and many attempts have been made to provideautomatic computer support for this task.Automateddebugging has seen major develoments over the last decade.Onesuccessful development is algorithmic debugging, whichoriginated in logic programming but was later generalized toconcurrent, imperative, and lazy functional languages.Important advances have also been made in knowledge-basedprogram debugging, and in approaches to automated debuggingbased on static and dynamic program slicing based ondataflow and dependence analysis technology. This is thefirst collected volume of papers on automated debugging andpresents latest developments, tutorial papers, and surveys.
A pragmatic survey of automated debugging.- Usability criteria for automated debugging systems.- The notions of symptom and error in declarative diagnosis of logic programs.- Debugging by diagnosing assumptions.- Debugging logic programs using specifications.- Model-based diagnosis meets error diagnosis in logic programs.- Towards declarative debugging of concurrent constraint programs.- Hierarchy in testing distributed programs.- Lazy algorithmic debugging: Ideas for practical implementation.- The location of errors in functional programs.- A generalised query minimisation for program debugging.- What's in a trace: The box model revisited.- Declarative debugging of abstract data types in Gödel.- Slicing programs with arbitrary control-flow.- Slicing concurrent programs.- Animators for generated programming environments.- Visualization as debugging: Understanding/debugging the Warren Abstract Machine.- Graphical user interfaces for algorithmic debugging.- Towards a plan calculus based intelligent debugging system.- Trace-based debugging.- Identifying faulty modifications in software maintenance.- The application of formal specifications to software documentation and debugging.- Automatic diagnosis of VLSI digital circuits using algorithmic debugging.

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