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A memetic algorithm for program verification

Authors: Nassima Aleb; Zahia Tamen;

A memetic algorithm for program verification

Abstract

We present a memetic algorithm for program safety properties verification. This problem is expressed by means of Reach ability of some erroneous location L in the program. We use a new method for program modeling: A Separation Modeling Approach: ASMA, in which programs are represented by two components: Data Model DM, and Control Model CM. The erroneous location is represented by its "Location Access Chain", LAC: a string where each position represents the required value of CM elements guards to reach L. The memetic algorithm generates each time a new population attempting to provide an execution which is " conform" to the location access chain. An individual of the population is a set of intervals each one representing an input variable. At each generation, two local search operators are used to improve some chosen solutions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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