An Approach to Generate Effective Fault Localization Methods for Programs. - Babak Bagheri; Mohammad Rezaalipour; Mojtaba Vahidi-Asl (FSEN, 2019)

IDrAx: A tool-chain for designing efficient approximate adders. - Morteza Rezaalipour; Mohammad Rezaalipour; Sarvenaz Tajasob; Masoud Dehyadegari (Microelectron. J., 2019)

AxMAP: Making Approximate Adders Aware of Input Patterns. - Morteza Rezaalipour; Mohammad Rezaalipour; Masoud Dehyadegari; Mahdi Nazm Bojnordi (IEEE Trans. Computers, 2020)

Test-Case Generation for Finding Neural Network Bugs. - Mohammad Rezaalipour; Carlo A. Furia (CoRR, 2021)

aNNoTest: An Annotation-based Test Generation Tool for Neural Network Programs. - Mohammad Rezaalipour; Carlo A. Furia (ICSME, 2023)

An annotation-based approach for finding bugs in neural network programs. - Mohammad Rezaalipour; Carlo A. Furia (J. Syst. Softw., 2023)

FauxPy: A Fault Localization Tool for Python. - Mohammad Rezaalipour; Carlo A. Furia (CoRR, 2024)

An empirical study of fault localization in Python programs. - Mohammad Rezaalipour; Carlo A. Furia (Empir. Softw. Eng., 2024)