How to cite this paper
Alhindawi, N., Meqdadi, O., Alsakran, J., Aljawarneh, N & Migdadi, H. (2022). Understanding and predicting bugs fixed by API-migrations.International Journal of Data and Network Science, 6(3), 849-860.
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Wu, R., Zhang, H., Kim, S., & Cheung, S. C. (2011, September). Relink: recovering links between bugs and changes. In Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software en-gineering (pp. 15-25).
Zeng, H., & Rine, D. (2004, September). Estimation of software defects fix effort using neural networks. In Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004. (Vol. 2, pp. 20-21). IEEE.
Zimmermann, T., Premraj, R., & Zeller, A. (2007, May). Predicting defects for eclipse. In Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007) (pp. 9-9). IEEE.
Al-Bourini, F. A., Aljawarneh, N. M., Almaaitah, M. F., Altahat, S., Alomari, Z. S., & Sokiyna, M. Y. (2021). The Role of E-Word of Mouth in the Relationship between Online Destination Image, E-satisfaction, E-Trust & E-Service Quality for International Tourists Perception. Journal of Information Technology Management, 13(Special Issue: Big Data An-alytics and Management in Internet of Things), 92-110.
Aljawarneh, N. M., Abd kader Alomari, K., Alomari, Z. S., & Taha, O. (2020). Cyber incivility and knowledge hoarding: Does interactional justice matter?. VINE Journal of Information and Knowledge Management Systems.
Aljawarneh, N., Mahafzah, A., Altahaa, S., Alzboun, E., & Harafsheh, I. (2021). Online sales system and organization out-come. International Journal of Data and Network Science, 5(3), 485-494.
Aljawarneh, N., Taamneh, M., Alhndawi, N., Alomari, K., & Masad, F. (2021). Fog computing-based logistic supply chain management and organizational agility: The mediating role of user satisfaction. Uncertain Supply Chain Manage-ment, 9(3), 767-778.
Alsafadi, Y., Aljawarneh, N., Çağlar, D., Bayram, P., & Zoubi, K. (2020). The mediating impact of entrepreneurs among administrative entrepreneurship, imitative entrepreneurship and acquisitive entrepreneurship on creativity. Manage-ment Science Letters, 10(15), 3571-3576.
Conover, W. J. (1999). Practical nonparametric statistics (Vol. 350). john wiley & sons.
Hooimeijer, P., & Weimer, W. (2007, November). Modeling bug report quality. In Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (pp. 34-43).
Kim, M., Cai, D., & Kim, S. (2011, May). An empirical investigation into the role of API-level refactorings during soft-ware evolution. In Proceedings of the 33rd International Conference on Software Engineering (pp. 151-160).
Kukkar, A., & Mohana, R. (2018). A supervised bug report classification with incorporate and textual field knowledge. Procedia Computer Science, 132, 352-361.
Lamkanfi, A., Demeyer, S., Soetens, Q. D., & Verdonck, T. (2011, March). Comparing mining algorithms for predicting the severity of a reported bug. In 2011 15th European Conference on Software Maintenance and Reengineering (pp. 249-258). IEEE.
Marks, L., Zou, Y., & Hassan, A. E. (2011, September). Studying the fix-time for bugs in large open source projects. In Proceedings of the 7th International Conference on Predictive Models in Software Engineering (pp. 1-8).
Menzies, T., & Marcus, A. (2008, September). Automated severity assessment of software defect reports. In 2008 IEEE International Conference on Software Maintenance (pp. 346-355). IEEE.
Meqdadi, O., Alhindawi, N., Collard, M. L., & Maletic, J. I. (2013, September). Towards understanding large-scale adap-tive changes from version histories. In 2013 IEEE International Conference on Software Maintenance (pp. 416-419). IEEE.
Meyer, T. A., & Whateley, B. (2004, July). SpamBayes: Effective open-source, Bayesian based, email classification sys-tem. In CEAS.
Pan, K., Kim, S., & Whitehead, E. J. (2009). Toward an understanding of bug fix patterns. Empirical Software Engineer-ing, 14(3), 286-315.
Posnett, D., Hindle, A., & Devanbu, P. (2011, October). Got issues? do new features and code improvements affect de-fects?. In 2011 18th Working Conference on Reverse Engineering (pp. 211-215). IEEE.
Shihab, E., Ihara, A., Kamei, Y., Ibrahim, W. M., Ohira, M., Adams, B., ... & Matsumoto, K. I. (2010, October). Predicting re-opened bugs: A case study on the eclipse project. In 2010 17th Working Conference on Reverse Engineering (pp. 249-258). IEEE.
Song, Q., Shepperd, M., Cartwright, M., & Mair, C. (2006). Software defect association mining and defect correction ef-fort prediction. IEEE Transactions on Software Engineering, 32(2), 69-82.
Sun, C., Lo, D., Khoo, S. C., & Jiang, J. (2011, November). Towards more accurate retrieval of duplicate bug reports. In 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011) (pp. 253-262). IEEE.
Valdivia-Garcia, H., Shihab, E., & Nagappan, M. (2018). Characterizing and predicting blocking bugs in open source pro-jects. Journal of Systems and Software, 143, 44-58.
Wu, R., Zhang, H., Kim, S., & Cheung, S. C. (2011, September). Relink: recovering links between bugs and changes. In Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software en-gineering (pp. 15-25).
Zeng, H., & Rine, D. (2004, September). Estimation of software defects fix effort using neural networks. In Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004. (Vol. 2, pp. 20-21). IEEE.
Zimmermann, T., Premraj, R., & Zeller, A. (2007, May). Predicting defects for eclipse. In Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007) (pp. 9-9). IEEE.