Jehad Al Dallal

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Exploring the Impact of Alternatives of Object-Oriented Cohesion Measures on Machine Learning-Based Predictions of Inheritance Reusability.
IEEE Access
Jehad Al Dallal, Bader Alkhazi
2022 J jnl
The Relevance of SourceForge Data in the Age of GitHub.
ACM SIGMIS Database
Mohammad AlMarzouq, Abdullatif Al-Zaidan, Jehad Al Dallal
2021 J jnl
Exploring the Impact of Government Interventions on COVID-19 Pandemic Spread in Kuwait.
Int. J. Heal. Inf. Syst. Informatics
Sana S. BuHamra, Jehad Al Dallal
2020 J jnl
A fuzzy logic expert system to predict module fault proneness using unlabeled data.
J. King Saud Univ. Comput. Inf. Sci.
Golnoush Abaei, Ali Selamat, Jehad Al Dallal
2020 J jnl
Categorisation-based approach for predicting the fault-proneness of object-oriented classes in software post-releases.
IET Softw.
Jehad Al Dallal
2018 J jnl
Empirical Evaluation of the Impact of Object-Oriented Code Refactoring on Quality Attributes: A Systematic Literature Review.
IEEE Trans. Software Eng.
Jehad Al Dallal, Anas Abdin
2018 J jnl
Investigating the impact of fault data completeness over time on predicting class fault-proneness.
Inf. Softw. Technol.
Jehad Al Dallal, Sandro Morasca
2018 J jnl
Predicting Object-Oriented Class Fault-Proneness: A Replication Study.
J. Softw.
Jehad Al Dallal
2017 J jnl
Predicting move method refactoring opportunities in object-oriented code.
Inf. Softw. Technol.
Jehad Al Dallal
2015 J jnl
Accounting for data encapsulation in the measurement of object-oriented class cohesion.
J. Softw. Evol. Process.
Jehad Al Dallal
2014 J jnl
Effects of incorporating special methods into cohesion measurement on class instantiation reuse-proneness prediction.
IET Softw.
Jehad Al Dallal