(2024). Balanced knowledge distribution among software development teams—Observations from open- and closed-source software development. Journal of Software: Evolution and Process.

(2023). Toward Improved Deep Learning-based Vulnerability Detection. 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE).

(2023). Code smells in pull requests: An exploratory study. Software: Practice and Experience.

(2021). A Literature Review of Using Machine Learning in Software Development Life Cycle Stages. IEEE Access.

(2021). NLP4IP: Natural Language Processing-based Recommendation Approach for Issues Prioritization. 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

(2021). TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development. 2021 IEEE/ACM Joint 15th International Conference on Software and System Processes (ICSSP) and 16th ACM/IEEE International Conference on Global Software Engineering (ICGSE).

(2020). Towards Optimal Assembly Line Order Sequencing with Reinforcement Learning: A Case Study. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

(2020). Machine learning for software engineering: A systematic mapping. arXiv preprint arXiv:2005.13299.

(2019). Communication Patterns of Kanban Teams and their Impact on Iteration Performance and Quality. 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

(2018). A systematic mapping study on security requirements engineering frameworks for cyber-physical systems. International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage.

(2017). Towards Studying the Communication Patterns of Kanban Teams: A Research Design. 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW).

(2017). Model-driven Development based Cross Platform Application Development: A Systematic Mapping Study. Journal of Information Science and Engineering.