A systematic literature review on semantic web enabled software testing von Dadkhah, Mahboubeh, Araban, Saeed, Paydar, Samad

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TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks von Abbasishahkoo, Amin, Dadkhah, Mahboubeh, Briand, Lionel, Lin, Dayi

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DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks von Aghababaeyan, Zohreh, Abdellatif, Manel, Dadkhah, Mahboubeh, Briand, Lionel

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TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks von Amin Abbasishahkoo, Dadkhah, Mahboubeh, Briand, Lionel, Lin, Dayi

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DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks von Aghababaeyan, Zohreh, Abdellatif, Manel, Dadkhah, Mahboubeh, Briand, Lionel

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Extending FUM-LD framework by including an academic data model von Dadkhah, M., Kahani, M., Paydar, S., Behkamal, B.

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Some novel hybrid quinazoline-based heterocycles as potent cytotoxic agents von Malekzadeh, Mahla, Dadkhah, Shadi, Khodarahmi, Ghadam, Asadi, Parvin, Hassanzadeh, Farshid, Rostami, Mahboubeh

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