Correction of Logical Errors in C programs using Genetic Algorithm Techniques
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- @Article{Murali:2009:IJRTE,
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author = "Prakash Murali and Atul Sandur and Abhay Ashok Patil",
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title = "Correction of Logical Errors in {C} programs using
Genetic Algorithm Techniques",
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journal = "International Journal of Recent Trends in Engineering
(IJRTE)",
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year = "2009",
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volume = "1",
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number = "2",
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pages = "176--178",
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month = may,
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keywords = "genetic algorithms, genetic programming, genetic
improvement, APR, SBSE, logical error",
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ISSN = "1797-9617",
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publisher = "Academy Publisher in cooperation with the ACEEE",
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URL = "http://ijrte.academypublisher.com/vol01/no02/ijrte0102176178.pdf",
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URL = "http://www.iaeng.org/IMECS2009/doc/titles_A_C.html",
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size = "3 pages",
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abstract = "In this paper, we propose a logical error correction
system for C programs. Although there has been
considerable research in the field of error detection,
there have been few advances in logical error
correction. Our solution combines statistical control
flow techniques for error detection and genetic
programming techniques for error correction. We assume
that logical errors are confined to expressions in the
input program. In this context, the expressions are
mined and statistically ranked on the basis of their
error relevance. This initial data forms the input to
the genetic algorithm that generates new and improved
expression sets for the input program. A main genetic
algorithm controls the evolution of expression sets
while the individual expressions are modulated by
genetic programming techniques. These sets of
expressions are tested with the standard test bench and
their fitness is declared to the genetic algorithm. The
genetic algorithm produces new generations of
expression sets until at least one set passes the
testing criteria. This algorithm can also be extended
to debug codes in other programming languages.",
- }
Genetic Programming entries for
Prakash Murali
Atul Kumar Sujayendra Sandur
Abhay Ashok Patil
Citations