43 citations · 75 across the 5 of their papers we have counts for
5 papers
Natural Language Requirements Testability Measurement Based on Requirement Smells
Morteza Zakeri-Nasrabadi, Saeed Parsa
Requirements form the basis for defining software systems' obligations and tasks. Testable requirements help prevent failures, reduce maintenance costs, and make it easier to perfo…
Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration
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. A common practice is to outsource the training process or collect…
A systematic literature review on the code smells datasets and validation mechanisms
Morteza Zakeri-Nasrabadi, Saeed Parsa, Ehsan Esmaili +1
The accuracy reported for code smell-detecting tools varies depending on the dataset used to evaluate the tools. Our survey of 45 existing datasets reveals that the adequacy of a d…
An ensemble meta-estimator to predict source code testability
Morteza Zakeri-Nasrabadi, Saeed Parsa
Unlike most other software quality attributes, testability cannot be evaluated solely based on the characteristics of the source code. The effectiveness of the test suite and the b…
Learning to predict test effectiveness
Morteza Zakeri-Nasrabadi, Saeed Parsa
The high cost of the test can be dramatically reduced, provided that the coverability as an inherent feature of the code under test is predictable. This article offers a machine le…