Name:Rrezarta Krasniqi

Bio:

SELECTED PUBLICATIONS

[ 1 ]. Krasniqi, R., Do, H., “A Multi-Model Framework for Semantically Enhancing Detection of Quality-Related Bug Report Descriptions”. Empirical Software Engineering (EMSE’23), 28, 1-62 pages, 2023.

[ 2 ]. Krasniqi, R., Do, H., “Towards Semantically Enhanced Detection of Emerging Quality-Related Concerns in the Source Code,” Software Quality Journal (SQJO’23), 1-51 pages, 2023.

[ 3 ]. Krasniqi, R., Do, H., “A Hierarchical Topical Modeling Approach for Recommending Repair of Quality Bugs,” Proceedings of the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER’23), Macao SAR, China, March 21-24, 2023.

[ 4 ]. Krasniqi, R., Do, H.,“Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs,” Proceedings of the 39th IEEE International Conference on Software Maintenance and Evolution (ICSME’23), NIER Track, Bogota, Colombia, October 1-6 2023.

[ 5 ]. Krasniqi, R., “Detecting Scattered and Tangled Quality Concerns in Code to Aid Maintenance and Evolution Tasks,” Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE’23), Doctoral Symposium Track, Melbourne, Australia, May 14-20, 2023.

[ 6 ]. Krasniqi, R., Do, H., “Generalizability of NLP-based Models for Modern Software Development Cross-Domain Environments,” Proceedings of the 2nd IEEE International Workshop on Natural Language-based Software Engineering (NLPBSE’23), co-located with ICSE, Melbourne, Australia, May 14-20, 2023.

[ 7 ]. Krasniqi, R., Do, H., “Automatically Capturing Quality-Related Concerns in Bug Report Descriptions for Efficient Bug Triaging,“ Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering (EASE’22), Research Track, Gothenburg, Sweden, June 13-15, 2022.

[ 8 ]. Aljedaani, W., Krasniqi R., Aljedaani S., Mkouer M., Ludi, S., Al-Radadah K., “If Online Learning Works for You, What about Deaf Students?” Universal Access in the Information Society (UAIS’22), 1-20, 2022.

[ 9 ]. Krasniqi, R., Agrawal A., “Analyzing and Detecting Emerging Quality-Related Concerns Across OSS Defect Report Summaries,” Proceedings of the 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER’21), Honolulu, HI, March 9-12, 2021.

[ 10 ]. Krasniqi, R., “Recommending Bug-fixing Comments from Issue Tracking Discussions in Support of Bug Repair,” Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference (COMPSAC’21), Madrid, Spain, July 12-16, 2021.

[ 11 ]. Krasniqi, R., “Extractive Summarization of Related Bug-fixing Comments in Support of Bug Repair,” Proceedings of 2nd International Workshop on Automated Program Repair (APR), co-located with ICSE’21, Madrid, Spain, June 1, 2021.

[ 12 ]. Krasniqi, R., Cleland-Huang, J., “Enhancing Source Code Refactoring Detection with Explanations from Commit Messages,” Proceedings of the 27th IEEE International Conference on Software Analysis, Evolution & Reengineering (SANER’20), ERA Track, London, ON, February 18-21, 2020.

[ 13 ]. Krasniqi, R., McMillan, C., “TraceLab Components for Generating Speech Act Typesin Developer Question/Answer Conversations,” Proceedings of the 34th IEEE International Conference on Software Maintenance and Evolution (ICSME’18), Artifacts Track, Madrid, Spain, September 23-29, 2018.

[ 14 ]. Krasniqi, R., Jiang, S., McMillan, C., “TraceLab Components for Generating Extractive Summaries of User Stories,” Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME’17), Artifacts Track, Shanghai, China, September 17-24, 2017.

[ 15 ]. Stringfellow, C., Simpson, R., Enloe, K., Krasniqi, R., Ngo, T., Keown, R., Hood, J.,“Solving T-Joint Problem in Reconstructing 2-D Objects,” Proceedings of International Conference on Image Theory and Applications (IPTA’10), Angers, France, May 17-21, 2010.

Country:United States

Affiliation:University of North Texas

Research interests:Software Engineering, Requirement Engineering, Software Quality, Software Maintenance and Evolution, Natural Language Processing, Information Retrieval, Applied Machine Learning