InforLorV4, Main, Exploration, bibRecord, 003C42

Seed: an easy to use random generator of recursive data structures for testing

Identifieur interne : 003C42 ( Main/Exploration ); précédent : 003C41; suivant : 003C43

Seed: an easy to use random generator of recursive data structures for testing

Auteurs : Pierre-Cyrille Heam [France] ; Cyril Nicaud [France]

Source :

RBID : Hal:inria-00528585

Abstract

Random testing represents a simple and tractable way for software assessment. This paper presents the \seed tool that can be used for the uniform random generation of recursive data structures such as labelled trees and logical formulas. We show how \seed can be used in several testing contexts, from model based testing to performance testing. Generated data structures are defined by grammar-like rules, given in an XML format, multiplying \seed possible applications. Seed is based on combinatorial techniques, and can generate uniformly at random k structures of size $n$ with a time complexity in O(n^2+ kn\log n). Finally, \seed is available as a free Java application and a great effort has been made to make it easy-to-use.

Url:

https://hal.inria.fr/inria-00528585

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 004434
to stream Hal, to step Curation: 004434
to stream Hal, to step Checkpoint: 002E89
to stream Main, to step Merge: 003D55
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Le document en format XML

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<idno type="IdRef">02636817X</idno>
<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
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<country>France</country>
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<front><div type="abstract" xml:lang="en">Random testing represents a simple and tractable way for software assessment. This paper presents the \seed tool that can be used for the uniform random generation of recursive data structures such as labelled trees and logical formulas. We show how \seed can be used in several testing contexts, from model based testing to performance testing. Generated data structures are defined by grammar-like rules, given in an XML format, multiplying \seed possible applications. Seed is based on combinatorial techniques, and can generate uniformly at random k structures of size $n$ with a time complexity in O(n^2+ kn\log n). Finally, \seed is available as a free Java application and a great effort has been made to make it easy-to-use.</div>
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<affiliations><list><country><li>France</li>
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<region><li>Franche-Comté</li>
<li>Grand Est</li>
<li>Lorraine (région)</li>
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<settlement><li>Belfort</li>
<li>Besançon</li>
<li>Nancy</li>
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<orgName><li>Institut national polytechnique de Lorraine</li>
<li>Université Nancy 2</li>
<li>Université de Bourgogne Franche-Comté</li>
<li>Université de Franche-Comté</li>
<li>Université de Lorraine</li>
<li>Université de technologie de Belfort-Montbéliard</li>
</orgName>
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<tree><country name="France"><region name="Grand Est"><name sortKey="Heam, Pierre Cyrille" sort="Heam, Pierre Cyrille" uniqKey="Heam P" first="Pierre-Cyrille" last="Heam">Pierre-Cyrille Heam</name>
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<name sortKey="Nicaud, Cyril" sort="Nicaud, Cyril" uniqKey="Nicaud C" first="Cyril" last="Nicaud">Cyril Nicaud</name>
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Seed: an easy to use random generator of recursive data structures for testing

Seed: an easy to use random generator of recursive data structures for testing

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