Generalized algorithmic debugging and testing
ACM Letters on Programming Languages and Systems (LOPLAS)
GIDTS: a graphical programming environment for Prolog
Proceedings of the 1999 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Algorithmic Program DeBugging
Rational Debugging in Logic Programming
Proceedings of the Third International Conference on Logic Programming
Abstract Debugging of Logic Program
LOPSTR '94/META '94 Proceedings of the 4th International Workshops on Logic Programming Synthesis and Transformation - Meta-Programming in Logic
A Generalised Query Minimisation for Program Debugging
AADEBUG '93 Proceedings of the First International Workshop on Automated and Algorithmic Debugging
A declarative debugger of incorrect answers for constraint functional-logic programs
Proceedings of the 2005 ACM SIGPLAN workshop on Curry and functional logic programming
Combining algorithmic debugging and program slicing
Proceedings of the 8th ACM SIGPLAN international conference on Principles and practice of declarative programming
Algorithmic Debugging of Java Programs
Electronic Notes in Theoretical Computer Science (ENTCS)
A comparative study of algorithmic debugging strategies
LOPSTR'06 Proceedings of the 16th international conference on Logic-based program synthesis and transformation
Abstract diagnosis of functional programs
LOPSTR'02 Proceedings of the 12th international conference on Logic based program synthesis and transformation
An integrated framework for the diagnosis and correction of rule-based programs
Theoretical Computer Science
An algorithmic debugger for Java
ICSM '10 Proceedings of the 2010 IEEE International Conference on Software Maintenance
An optimal strategy for algorithmic debugging
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Declarative debugging of wrong and missing answers for SQL views
FLOPS'12 Proceedings of the 11th international conference on Functional and Logic Programming
Observing SQL queries in their natural habitat
ACM Transactions on Database Systems (TODS)
Generating sound and effective memory debuggers
Proceedings of the 2013 international symposium on memory management
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Algorithmic debugging is a debugging technique that has been extended to practically all programming paradigms. Roughly speaking, the technique constructs an internal representation of all (sub)computations performed during the execution of a buggy program; and then, it asks the programmer about the correctness of such computations. The answers of the programmer guide the search for the bug until it is isolated by discarding correct parts of the program. After twenty years of research in algorithmic debugging many different techniques have appeared to improve the original proposal. Surprisingly, no study exists that joins together all these techniques and compares their advantages and their performance. This article presents a study that compares all current algorithmic debugging techniques and analyzes their differences and their costs. The research identifies the dimensions on which each strategy relies. This information allows us to combine the strong points of different strategies.