| Mobile language learning applications for Arabic speaking migrants–a usability perspective KW Al-Sabbagh, L Bradley, L Bartram Language Learning in Higher Education 9 (1), 71-95, 2019 | 20 | 2019 |
| The connections between group maturity, software development velocity, and planning effectiveness KW Al‐Sabbagh, L Gren Journal of Software: Evolution and Process 30 (1), e1896, 2018 | 17 | 2018 |
| Designing mobile language learning with Arabic speaking migrants L Bradley, L Bartram, KW Al-Sabbagh, A Algers Interactive Learning Environments 31 (1), 514-526, 2023 | 16 | 2023 |
| Predicting Test Case Verdicts Using TextualAnalysis of Commited Code Churns K Al Sabbagh, M Staron, R Hebig, W Meding CEUR Workshop Proceedings 2476, 138-153, 2019 | 13 | 2019 |
| Improving test case selection by handling class and attribute noise KW Al-Sabbagh, M Staron, R Hebig Journal of Systems and Software 183, 111093, 2022 | 9 | 2022 |
| Mobile learning with Arabic speakers in Sweden L Bartram, L Bradley, K Al-Sabbagh Proceedings of the Gulf Comparative Education Symposium (GCES) in Ras Al …, 2018 | 9 | 2018 |
| Selective regression testing based on big data: comparing feature extraction techniques KW Al-Sabbagh, M Staron, M Ochodek, R Hebig, W Meding 2020 IEEE International Conference on Software Testing, Verification and …, 2020 | 7 | 2020 |
| The effect of class noise on continuous test case selection: A controlled experiment on industrial data KW Al-Sabbagh, R Hebig, M Staron International Conference on Product-Focused Software Process Improvement …, 2020 | 6 | 2020 |
| Improving data quality for regression test selection by reducing annotation noise KW Al-Sabbagh, M Staron, R Hebig, W Meding 2020 46th Euromicro Conference on Software Engineering and Advanced …, 2020 | 5 | 2020 |
| Mobile Language Learning Designs and Contexts for Newly Arrived Migrants. L Bradley, KW Al-Sabbagh Australian Journal of Applied Linguistics 5 (3), 179-198, 2022 | 4 | 2022 |
| Group developmental psychology and software development performance L Gren, K Al-Sabbagh 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 4 | 2017 |
| Predicting build outcomes in continuous integration using textual analysis of source code commits K Al-Sabbagh, M Staron, R Hebig Proceedings of the 18th International Conference on Predictive Models and …, 2022 | 2 | 2022 |
| A classification of code changes and test types dependencies for improving machine learning based test selection K Al-Sabbagh, M Staron, R Hebig, F Gomes Proceedings of the 17th International Conference on Predictive Models and …, 2021 | 2 | 2021 |
| Early Prediction of Test Case Verdict with Bag-of-Words vs. Word Embeddings W Meding CEUR Workshop Proceedings, 2020 | 1 | 2020 |
| Improving the Performance of Machine Learning-based Methods for Continuous Integration by Handling Noise K Al-Sabbagh | | 2023 |
| Improving Software Regression Testing Using a Machine Learning-Based Method for Test Type Selection KW Al-Sabbagh, M Staron, R Hebig International Conference on Product-Focused Software Process Improvement …, 2022 | | 2022 |
| The Journal of Systems & Software KW Al-Sabbagh, M Staron, R Hebig | | 2021 |
| Group Development and Software Engineering Performance K Al-Sabbagh University of Gothenburg, 2016 | | 2016 |
