Zheying Zhang
About me
Zheying Zhang received her Ph.D degree in computer science and information systems from the University of Jyväskylä, Finland in 2004, and the title of Docent (Adjunct professor) in software development from University of Tampere in 2013. She has over 15 years research and teaching experience in requirements management; and her research interests include requirements analysis, domain modelling, quality assurance and process improvement, data driven approach for software development and maintenance, and AI-assisted requirements management.
Current research interests and topics for Master's thesis on
- AI4SE, e.g. AI for requirements management, quality assurance, agile project management, DevOps pipelines, etc.
- Data-driven software evolution analysis
- Quality attributes and software quality assessment, e.g. OSS, medical device software, etc.
- Cross-disciplinary topics on software engineering such as software engineering education, ethics, etc.
- Industry-specific applications
- Other innovative and relevant topics
PhD Graduates
- Xiaozhou Li - Data-driven analysis of software user reviews helps to understand changing customer needs, co-supervised with Kostas Stefanidis
- Wenhui Lu -Effective Rights Exporting Process - Towards system interoperability of digital rights management, co-supervised with Jyrki Nummenmaa
Selected publications
See my publications at https://orcid.org/0000-0002-6205-4210
Latest publications
A Systematic Literature Review on Requirements Engineering Practices and Challenges in Open-Source Projects
Tasnim, M., Rayhan, M., Zhang, Z. & Poranen, T., 2024, 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE, p. 278-285 8 p. ( Proceedings EUROMICRO Conference on Software Engineering and Advanced Applications).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
A Tertiary Study on AI for Requirements Engineering
Mehraj, A., Zhang, Z. & Systä, K., 2024, Requirements Engineering: Foundation for Software Quality : 30th International Working Conference, REFSQ 2024, Winterthur, Switzerland, April 8–11, 2024, Proceedings. Mendez, D., Mendez, D., Moreira, A. & Moreira, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 159-177 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14588 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Sentiment Analysis of Mobile Apps Using BERT
Ullah, W., Zhang, Z. & Stefanidis, K., 2023, IEA/AIE 2023: Advances and Trends in Artificial Intelligence. Theory and Applications. Springer, p. 66-78 13 p. (Lecture Notes in Computer Science; vol. 13926).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
The anatomy of a vulnerability database: A systematic mapping study
Li, X., Moreschini, S., Zhang, Z., Palomba, F. & Taibi, D., Jul 2023, In: Journal of Systems and Software. 201, 111679.Research output: Contribution to journal › Article › Scientific › peer-review
Communication Challenges in Distributed Student Projects
Huumonen, J., Poranen, T. & Zhang, Z., Oct 2022, Proceedings of the 50th SEFI Conference (European Society for Engineering Education) 2022. p. 334-343Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Exploring Factors and Metrics to Select Open Source Software Components for Integration: An Empirical Study
Li, X., Moreschini, S., Zhang, Z. & Taibi, D., Jun 2022, In: Journal of Systems and Software. 188, 111255.Research output: Contribution to journal › Article › Scientific › peer-review
A data-driven approach for video game playability analysis based on players’ reviews
Li, X., Zhang, Z. & Stefanidis, K., Mar 2021, In: Information (Switzerland). 12, 3, 129.Research output: Contribution to journal › Article › Scientific › peer-review
An Investigation on the Availability of Contribution Information in Open-Source Projects
Zhang, Z., Sievi-Korte, O., Virta, U. T., Jarvinen, H. M. & Taibi, D., Sept 2021, Proceedings - 2021 47th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2021. Baldassarre, M. T., Scanniello, G. & Skavhaug, A. (eds.). IEEE, p. 86-90 5 p. (Proceedings - 2021 47th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Towards RegOps: A DevOps Pipeline for Medical Device Software
Toivakka, H., Granlund, T., Poranen, T. & Zhang, Z., 2021, Product-Focused Software Process Improvement - 22nd International Conference, PROFES 2021, Proceedings. Ardito, L., Jedlitschka, A., Morisio, M. & Torchiano, M. (eds.). Springer, p. 290-306 17 p. (Lecture Notes in Computer Science; vol. 13126).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
A Sentiment-Statistical Approach for Identifying Problematic Mobile App Updates Based on User Reviews
Li, X., Zhang, B., Zhang, Z. & Stefanidis, K., 1 Mar 2020, In: Information. 11, 3, 152.Research output: Contribution to journal › Article › Scientific › peer-review