DocumentCode
1678757
Title
Fault Localization in Constraint Programs
Author
Lazaar, Nadjib ; Gotlieb, Arnaud ; Lebbah, Yahia
Author_Institution
INRIA Rennes Bretagne Atlantique, Rennes, France
Volume
1
fYear
2010
Firstpage
61
Lastpage
67
Abstract
Constraint programs such as those written in high level modeling languages (e.g., OPL, ZINC, or COMET) must be thoroughly verified before being used in applications. Detecting and localizing faults is therefore of great importance to lower the cost of the development of these constraint programs. In a previous work, we introduced a testing framework called CPTEST enabling automated test case generation for detecting non-conformities. In this paper, we enhance this framework to introduce automatic fault localization in constraint programs. Our approach is based on constraint relaxation to identify the constraint that is responsible of a given fault. CPTEST is henceforth able to automatically localize faults in optimized OPL programs. We provide empirical evidence of the effectiveness of this approach on classical benchmark problems, namely Golomb rulers, n-queens, social golfer and car sequencing.
Keywords
constraint handling; fault location; fault tolerant computing; high level languages; CPTEST; Golomb rulers; OPL programs; car sequencing; classical benchmark problems; constraint programs; fault detection; fault localization; n-queens; social golfer; Approximation algorithms; Atmospheric modeling; Couplings; Debugging; Fault detection; Fault diagnosis; Testing; Constraint programs; Fault localization; Testing software;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
Conference_Location
Arras
ISSN
1082-3409
Print_ISBN
978-1-4244-8817-9
Type
conf
DOI
10.1109/ICTAI.2010.18
Filename
5670017
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