Oliveira, A. D., dos Santos, P. S., J\'unior, Wilson E Marc\'\ilio,, Aljedaani, W., Eler, D. M., Eler, M. M. (2023). An\'alise de Avalia\ccoes de Acessibilidade Digital Associadas a Defici\^encias Visuais e Condi\ccoes Oculares. Anais Estendidos do XXII Simp\'osio Brasileiro de Fatores Humanos em Sistemas Computacionais. 241--245.
Oliveira, A. D., Dos Santos, Paulo S\'ergio Henrique,, Marc\'\ilio J\'unior, Wilson Est\'ecio,, Aljedaani, W. M., Eler, D. M., Eler, M. M. (2023). Analyzing Accessibility Reviews Associated with Visual Disabilities or Eye Conditions. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1--14.
Aljedaani, W., Mkaouer, M. W., Peruma, A., Ludi, S. A. (2023). Do the Test Smells Assertion Roulette and Eager Test Impact Students' Troubleshooting and Debugging Capabilities?. 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET).
Rustam, F., Jurcut, A. D., Aljedaani, W., Ashraf, I. (2023). Securing multi-environment networks using versatile synthetic data augmentation technique and machine learning algorithms. 2023 20th Annual International Conference on Privacy, Security and Trust (PST). 1--10.
Aljedaani, W., Aljedaani, M., Mkaouer, M. W., Ludi, S. A. (2023). Teachers Perspectives on Transition to Online Teaching Deaf and Hard-of-Hearing Students during the COVID-19 Pandemic: A Case Study. Proceedings of the 16th Innovations in Software Engineering Conference. 1--10.
Aljedaani, W., Alkahtani, M., Ludi, S. A., Mkaouer, M. W., Eler, M. M., Kessentini, M., Ouni, A. (2023). The state of accessibility in blackboard: Survey and user reviews case study. Proceedings of the 20th International Web for All Conference. 84--95.
Aljedaani, W., Mkaouer, M. W., Ludi, S. A., Javed, Y. (2022). Automatic classification of accessibility user reviews in android apps. 2022 7th international conference on data science and machine learning applications (CDMA). 133--138.
Okafor, O., Aljedaani, W., Ludi, S. A. (2022). Comparative Analysis of Accessibility Testing Tools and Their Limitations in RIAs. International Conference on Human-Computer Interaction. 479--500.
Reshi, A. A., Rustam, F., Aljedaani, W., Shafi, S., Alhossan, A., Alrabiah, Z., Ahmad, A., Alsuwailem, H., Almangour, T. A., Alshammari, M. A., others, (2022). Covid-19 vaccination-related sentiments analysis: A case study using worldwide twitter dataset. Healthcare. 10(3), 411.
Aljedaani, W., Mkaouer, M. W., Ludi, S. A., Ouni, A., Jenhani, I. (2022). On the identification of accessibility bug reports in open source systems. Proceedings of the 19th international web for all conference. 1--11.
Okafor, O., Aljedaani, W., Ludi, S. A. (2022). Comparative Analysis of Accessibility Testing Tools and their Limitations in RIAs. 479-500. Springer.
Aljedaani, W., Ludi, S. (2022). On the Identification of Accessibility Bug Reports in Open Source Systems.. 11. Denton:.
Aljedaani, W., Ludi, S. A. (2022). Automatic Classification of Accessibility User Reviews in Android Apps. 6.
Ghallab, A., Almuzaiqer, A., Al-Hashedi, A., Mohsen, A., Bechkoum, K., Aljedaani, W. (2021). Factors Affecting Intention to Adopt Open Source ERP Systems by SMEs in Yemen. 2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE). 1--7.
AlOmar, E. A., Aljedaani, W., Tamjeed, M., Mkaouer, M. W., El-Glaly, Y. N. (2021). Finding the needle in a haystack: On the automatic identification of accessibility user reviews. Proceedings of the 2021 CHI conference on human factors in computing systems. 1--15.
Aljedaani, W., Rustam, F., Ludi, S. A., Ouni, A., Mkaouer, M. W. (2021). Learning sentiment analysis for accessibility user reviews. 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW). 239--246.
Aljedaani, W., Ludi, S. A. (2021). Learning Sentiment Analysis for Accessibility User Reviews. 7.
Aljedaani, W., Ludi, S. A. (2021). Test Smell Detection Tools: A Systematic Mapping Study. 12. New York, NY: ACM.
Aljedaani, W., Javed, Y. (2020). Empirical study of software test suite evolution. 2020 6th Conference on Data Science and Machine Learning Applications (CDMA). 87--93.
Aljedaani, W., Javed, Y., Alenezi, M. (2020). LDA categorization of security bug reports in chromium projects. Proceedings of the 2020 European symposium on software engineering. 154--161.
Aljedaani, W., Javed, Y., Alenezi, M. (2020). Open source systems bug reports: Meta-analysis. Proceedings of the 2020 The 3rd International Conference on Big Data and Education. 43--49.
Aljedaani, W., Nagappan, M., Adams, B., Godfrey, M. (2019). A comparison of bugs across the ios and android platforms of two open source cross platform browser apps. 2019 IEEE/ACM 6th International Conference on Mobile Software Engineering and Systems (MOBILESoft). 76--86.
Safdari, N., Alrubaye, H., Aljedaani, W., Baez, B. B., DiStasi, A., Mkaouer, M. W. (2019). Learning to rank faulty source files for dependent bug reports. Big data: learning, analytics, and applications. 10989, 60--78.
Aljedaani, W., Javed, Y. (2018). Bug reports evolution in open source systems. 5th International Symposium on Data Mining Applications. 63--73.
Abreu, R., Alavani, G., Aljamaan, H., Aljedaani, W., Allix, K., Almeida Maia, M. d., Alturaief, N., Aman, H., Amasaki, S., Ampatzoglou, A., others, 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)| 978-1-6654-3583-3/21/$31.00{\copyright} 2021 IEEE| DOI: 10.1109/ASEW52652. 2021.00060.
Agnez, L., Aljedaani, W., AlOmar, E. A., AlOmar, S. A., Aranha, E., Arony, N. N., Arora, C., Batista, B., Birillo, A., Breaux, T. D., others, 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)| 979-8-3503-2259-0/23/$31.00{\copyright} 2023 IEEE| DOI: 10.1109/ICSE-SEET58685. 2023.00038.
Adames, P., Ahmad, M. B., Ahmed, I., Ahmed, M. I., Akhter, R., Alabad, D., Al-Amoudi, A., Alansari, A., Alaqeel, N., Alassaf, R., others, Abdullah, Muhammad Tahmeed 103 Abed, Mourad 73 Abouhagar, Leina 157 Abu Elkhail, Abdulrahman 121.
Buffardi, K., Chatley, R., Field, T., de Leon, N., Chong, C. Y., Kang, E., Aljedaani, W., Mkaouer, M. W., Nocera, S., Romano, S., others, ICSE-SEET 2023.
Alorage, A., Aljedaani, W., Al-Mashari, M. New Business Model: Electronic Word-of-Mouth Platforms Improvements in E-commerce Platforms.
Gupta, P., Rustam, F., Kanwal, K., Aljedaani, W., Alfarhood, S., Safran, M., Ashraf, I. (2024). Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution. Other. 17(1), 3. Springer Netherlands Dordrecht.
Mujahid, M., Kanwal, K., Rustam, F., Aljedaani, W., Ashraf, I. (2023). Arabic ChatGPT Tweets Classification using RoBERTa and BERT Ensemble Model. Other. 22(8), 1--23. ACM New York, NY.
Rustam, F., Sharif, M. Z., Aljedaani, W., Lee, E., Ashraf, I. (2023). Bee detection in bee hives using selective features from acoustic data. Multimedia Tools and Applications. 1--28. Springer US New York.
Ghammam, A., Ferreira, T., Aljedaani, W., Kessentini, M., Husain, A. (2023). Dynamic Software Containers Workload Balancing Via Many-Objective Search. IEEE Transactions on Services Computing. IEEE.
Afzal, H., Rustam, F., Aljedaani, W., Siddique, M. A., Ullah, S., Ashraf, I. (2023). Identifying fake job posting using selective features and resampling techniques. Multimedia Tools and Applications. 1--25. Springer US New York.
Aljedaani, W., Krasniqi, R., Aljedaani, S., Mkaouer, M. W., Ludi, S. A., Al-Raddah, K. (2023). If online learning works for you, what about deaf students? Emerging challenges of online learning for deaf and hearing-impaired students during COVID-19: a literature review. Other. 22(3), 1027--1046. Springer Berlin Heidelberg Berlin/Heidelberg.
Shafique, R., Aljedaani, W., Rustam, F., Lee, E., Mehmood, A., Choi, G. S. (2023). Role of Artificial Intelligence in Online Education: A Systematic Mapping Study. IEEE Access. IEEE.
Al-Shomar, A. M., Al-Qurish, M., Aljedaani, W. (2022). A novel framework for remote management of social media big data analytics. Other. 12(1), 172. Springer Vienna Vienna.
Aljedaani, W., Abuhaimed, I., Rustam, F., Mkaouer, M. W., Ouni, A., Jenhani, I. (2022). Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study. Other. 12(1), 128. Springer Vienna Vienna.
Rupapara, V., Rustam, F., Aljedaani, W., Shahzad, H. F., Lee, E., Ashraf, I. (2022). Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model. Scientific Reports. 12(1), 1000. Nature Publishing Group UK London.
Amaar, A., Aljedaani, W., Rustam, F., Ullah, S., Rupapara, V., Ludi, S. A. (2022). Detection of fake job postings by utilizing machine learning and natural language processing approaches. Other. 1--29. Springer US.
Daghriri, T., Rustam, F., Aljedaani, W., Bashiri, A. H., Ashraf, I. (2022). Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features. Other. 11(18), 2855. MDPI.
Lee, E., Rustam, F., Washington, P. B., El Barakaz, F., Aljedaani, W., Ashraf, I. (2022). Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model. IEEE Access. 10, 9717--9728. IEEE.
Aljedaani, W., Saad, E., Rustam, F., de la Torre D\'\iez, Isabel,, Ashraf, I. (2022). Role of artificial intelligence for analysis of covid-19 vaccination-related tweets: Opportunities, challenges, and future trends. Other. 10(17), 3199. MDPI.
Aljedaani, W., Rustam, F., Mkaouer, M. W., Ghallab, A., Rupapara, V., Washington, P. B., Lee, E., Ashraf, I. (2022). Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry. Knowledge-Based Systems. 255, 109780. Elsevier.
Abid, M. A., Ullah, S., Siddique, M. A., Mushtaq, M. F., Aljedaani, W., Rustam, F. (2022). Spam SMS filtering based on text features and supervised machine learning techniques. Multimedia Tools and Applications. 81(28), 39853--39871. Springer US New York.
Rustam, F., Reshi, A. A., Aljedaani, W., Alhossan, A., Ishaq, A., Shafi, S., Lee, E., Alrabiah, Z., Alsuwailem, H., Ahmad, A., others, (2022). Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology. Other. 29(1), 583--594. Elsevier.
Aljedaani, W., Ludi, S. A. (2022). If online learning works for you, what about deaf students? Emerging challenges of online learning for deaf and hearing-impaired students during COVID-19: a literature review. 20. Springer.
Aljedaani, W., Ludi, S. A. (2022). Detection of Fake Job Postings by Utilizing Machine Learning and Natural Language Processing Approaches. 28. Springer.
Aljedaani, W., Aljedaani, M., AlOmar, E. A., Mkaouer, M. W., Ludi, S. A., Khalaf, Y. B. (2021). I cannot see you—the perspectives of deaf students to online learning during covid-19 pandemic: Saudi arabia case study. Education Sciences. 11(11), 712. MDPI.
Fang, F., Wu, J., Li, Y., Ye, X., Aljedaani, W., Mkaouer, M. W. (2021). On the classification of bug reports to improve bug localization. Other. 25, 7307--7323. Springer Berlin Heidelberg.
Lee, E., Rustam, F., Aljedaani, W., Ishaq, A., Rupapara, V., Ashraf, I. (2021). Predicting pulsars from imbalanced dataset with hybrid resampling approach. Other. 2021, 1--13. Hindawi Limited.
Ye, X., Zheng, Y., Aljedaani, W., Mkaouer, M. W. (2021). Recommending pull request reviewers based on code changes. Other. 25, 5619--5632. Springer Berlin Heidelberg.
Lee, E., Rustam, F., Aljedaani, W., Ishaq, A., Rupapara, V., Ashraf, I. (2021). Research Article Predicting Pulsars from Imbalanced Dataset with Hybrid Resampling Approach.
Aljedaani, W., Peruma, A., Aljohani, A., Alotaibi, M., Mkaouer, M. W., Ouni, A., Newman, C. D., Ghallab, A., Ludi, S. A. (2021). Test smell detection tools: A systematic mapping study. Other. 170--180.
Alkhazi, B., DiStasi, A., Aljedaani, W., Alrubaye, H., Ye, X., Mkaouer, M. W. (2020). Learning to rank developers for bug report assignment. Applied Soft Computing. 95, 106667. Elsevier.
