1 code implementation • 26 Mar 2024 • Morteza Zakeri-Nasrabadi, Saeed Parsa
However, despite the importance of measuring and quantifying requirements testability, no automatic approach for measuring requirements testability has been proposed based on the requirements smells, which are at odds with the requirements testability.
no code implementations • 13 Nov 2023 • Soroush Hashemifar, Saeed Parsa, Morteza Zakeri-Nasrabadi
As the capacity of deep neural networks (DNNs) increases, their need for huge amounts of data significantly grows.
no code implementations • 28 Jun 2023 • Morteza Zakeri-Nasrabadi, Saeed Parsa, Mohammad Ramezani, Chanchal Roy, Masoud Ekhtiarzadeh
This paper proposes a systematic literature review and meta-analysis on code similarity measurement and evaluation techniques to shed light on the existing approaches and their characteristics in different applications.
no code implementations • 2 Jun 2023 • Morteza Zakeri-Nasrabadi, Saeed Parsa, Ehsan Esmaili, Fabio Palomba
The accuracy reported for code smell-detecting tools varies depending on the dataset used to evaluate the tools.
no code implementations • 20 Aug 2022 • Morteza Zakeri-Nasrabadi, Saeed Parsa
Compared with the state-of-the-art coverage prediction models, our models improve MAE, MSE, and an R2-score by 5. 78%, 2. 84%, and 20. 71%, respectively.
1 code implementation • 20 Aug 2022 • Morteza Zakeri-Nasrabadi, Saeed Parsa
Therefore, testability can be measured based on the coverage and number of test cases provided by a test suite, considering the test budget.