An Optimal Solution for Test Case Generation Using ROBDD Graph and PSO Algorithm. - Akram Kalaee; Vahid Rafe (Qual. Reliab. Eng. Int., 2016)

Neural Fuzzing: A Neural Approach to Generate Test Data for File Format Fuzzing. - Morteza Zakeri Nasrabadi; Saeed Parsa; Akram Kalaee (CoRR, 2018)

Model-based test suite generation for graph transformation system using model simulation and search-based techniques. - Akram Kalaee; Vahid Rafe (Inf. Softw. Technol., 2019)

Format-aware learn&fuzz: deep test data generation for efficient fuzzing. - Morteza Zakeri Nasrabadi; Saeed Parsa; Akram Kalaee (Neural Comput. Appl., 2021)

NP-SBFL: Bridging the Gap Between Spectrum-Based Fault Localization and Faulty Neural Pathways Diagnosis. - Soroush Hashemifar; Saeed Parsa; Akram Kalaee (CoRR, 2023)

COSMOS: A comprehensive framework for automatically generating domain-oriented test suite. - Akram Kalaee; Saeed Parsa; Negar Fathi (Inf. Softw. Technol., 2023)

Path analysis for effective fault localization in deep neural networks. - Soroush Hashemifar; Saeed Parsa; Akram Kalaee (Appl. Soft Comput., 2025)

Enhancing logic-based testing with EvoDomain: A search-based domain-oriented test suite generation approach. - Akram Kalaee; Saeed Parsa; Zahra Mansouri (Inf. Softw. Technol., 2025)

Metamorphic testing of deep neural network-based autonomous driving systems using behavioural domain adequacy. - Akram Kalaee; Saeed Parsa (Neural Comput. Appl., 2025)