Ms. Fang Hou | Software Engineering Award | Best Researcher Award
Ms. Fang Hou, Utrecht university, Netherlands
Fang Hou šš is a Ph.D. candidate at Monash University, Australia, specializing in empirical software engineering within software ecosystems. With over a decade of experience in IT, primarily in international banking, Fang’s research focuses on enhancing trust and security in software. She leads the TrustSECO project, which aims to establish a trust layer within the software ecosystem. Fluent in both Chinese and English, she has an extensive academic background, including a Master’s in Business Information Systems from Utrecht University. Fang has contributed to several key publications and serves as a committee member and reviewer for prestigious journals.šš
Publication Profile
Education š
She has been a Ph.D. candidate since 2021 at Monash University, Australia, after completing her Master’s at Utrecht University.
Professional Experience š©āš¼
Fang has over a decade of IT experience, notably in international banking with UBS and Citigroup. She is also a teaching assistant at Utrecht University, involved in the Software Ecosystem Security Course.
Research Focus š§ š¬
Fang Hou’s research primarily focuses on trust in software ecosystems, exploring how empirical software engineering methods can enhance the trustworthiness and quality of software. Her significant contributions include a systematic literature review on software trust and developing distributed infrastructures like TrustSECO to secure software ecosystems. She also investigates the role of sentiment analysis in software quality assessment and how trust influences the selection of open-source versus closed software. With a keen interest in data science and software quality, Fang’s work aims to build secure, reliable software systems globally, addressing both technical and community aspects of trust in software.
Publication Top Notes
- A systematic literature review on trust in the software ecosystem
F Hou, S Jansen
š Empirical Software Engineering 28 (1), 8
š Cited by: 15
š 2023 - Trustseco: A distributed infrastructure for providing trust in the software ecosystem
F Hou, S Farshidi, S Jansen
š International Conference on Advanced Information Systems Engineering, 121-133
š Cited by: 11
š 2021 - TrustSECO: An interview survey into software trust
F Jansen, S Jansen, F Hou
š arXiv preprint arXiv:2101.06138
š Cited by: 5
š 2021 - Analyzing the Performance of the Unmanned Bank to Explore the Failure Reasons for AI Projects
F Hou
š Proceedings of the 2nd International Conference on Artificial Intelligence ā¦
š Cited by: 5
š 2020 - The role of software trust in selection of open-source and closed software
F Hou, F Jansen, A De Vries, S Jansen
š 2023 IEEE/ACM 11th International Workshop on Software Engineering for ā¦
š Cited by: 2
š 2023 - Sentiment analysis for software quality assessment
F Liang, F Hou, S Farshidi, S Jansen
š Proceedings of the 22nd Belgium-Netherlands Software Evolution Workshop ā¦
š Cited by: 1
š 2023 - A survey of the stateāofātheāart approaches for evaluating trust in software ecosystems
F Hou, S Jansen
š Journal of Software: Evolution and Process, e2695
š 2024