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Kalaee, Akram
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1

COSMOS: A comprehensive framework for automatically generat..:

Kalaee, Akram ; Parsa, Saeed ; Fathi, Negar
Information and Software Technology.  154 (2023)  - p. 107091 , 2023
Link: https://doi.org/10.1016/..
 
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2

Format-aware learn&fuzz: deep test data generation for effi..:

Zakeri Nasrabadi, Morteza ; Parsa, Saeed ; Kalaee, Akram
Neural Computing and Applications.  33 (2020)  5 - p. 1497-1513 , 2020
Link: https://doi.org/10.1007/..
 
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3

Model-based test suite generation for graph transformation ..:

Kalaee, Akram ; Rafe, Vahid
Information and Software Technology.  108 (2019)  - p. 1-29 , 2019
Link: https://doi.org/10.1016/..
 
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4

An Optimal Solution for Test Case Generation Using ROBDD Gr..:

Kalaee, Akram ; Rafe, Vahid
Quality and Reliability Engineering International.  32 (2015)  7 - p. 2263-2279 , 2015
Link: https://doi.org/10.1002/..
 
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5

Path Analysis for Effective Fault Localization in Deep Neur..:

Hashemifar, Soroush ; Parsa, Saeed ; Kalaee, Akram
http://arxiv.org/abs/2310.18987.  , 2023
Link: http://arxiv.org/abs/231..
 
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6

Format-aware Learn&Fuzz: Deep Test Data Generation for Effi..:

Nasrabadi, Morteza Zakeri ; Parsa, Saeed ; Kalaee, Akram
http://arxiv.org/abs/1812.09961.  , 2018
Link: http://arxiv.org/abs/181..
 
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