Computer Science – Software Engineering
Scientific paper
2010-05-17
Computer Science
Software Engineering
Scientific paper
The success of several constraint-based modeling languages such as OPL, ZINC, or COMET, appeals for better software engineering practices, particularly in the testing phase. This paper introduces a testing framework enabling automated test case generation for constraint programming. We propose a general framework of constraint program development which supposes that a first declarative and simple constraint model is available from the problem specifications analysis. Then, this model is refined using classical techniques such as constraint reformulation, surrogate and global constraint addition, or symmetry-breaking to form an improved constraint model that must be thoroughly tested before being used to address real-sized problems. We think that most of the faults are introduced in this refinement step and propose a process which takes the first declarative model as an oracle for detecting non-conformities. We derive practical test purposes from this process to generate automatically test data that exhibit non-conformities. We implemented this approach in a new tool called CPTEST that was used to automatically detect non-conformities on two classical benchmark programs, namely the Golomb rulers and the car-sequencing problem.
Gotlieb Arnaud
Lazaar Nadjib
Yahia Lebbah
No associations
LandOfFree
On Testing Constraint Programs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On Testing Constraint Programs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On Testing Constraint Programs will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-298453