Skip to Main content Skip to Navigation
Conference papers

Fault Localization in Constraint Programs

Abstract : Constraint programs such as those written in highlevel modeling languages (e.g., OPL [15], ZINC [14], or COMET [16]) 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 [13]. 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/hal-00699235
Contributor : Arnaud Gotlieb <>
Submitted on : Monday, May 21, 2012 - 11:14:51 AM
Last modification on : Monday, July 27, 2020 - 10:32:02 AM
Long-term archiving on: : Wednesday, August 22, 2012 - 2:21:57 AM

File

ictai2010_CR.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00699235, version 1

Citation

Nadjib Lazaar, Arnaud Gotlieb, Yahia Lebbah. Fault Localization in Constraint Programs. 22th Int. Conf. on Tools with Artificial Intelligence (ICTAI'2010), 2010, Arras, France. ⟨hal-00699235⟩

Share

Metrics

Record views

476

Files downloads

403