Xiaofeng Wang is affiliated with the Free University of Bozen-Bolzano in Italy. Their research focuses predominantly on the field of Computer Science, with 92 publications. Within this domain, their work covers several subfields including Information Systems, Artificial Intelligence, Management Information Systems, Computer Science Applications, and Computer Networks and Communications.
Thematic areas of Xiaofeng Wang's research include Software Engineering Techniques and Practices, Software Engineering Research, Big Data and Business Intelligence, Open Source Software Innovations, Software System Performance and Reliability, Virtual Reality Applications and Impacts, and Advanced Software Engineering Methodologies.
Recent notable publications by Xiaofeng Wang include: Comparing Methods for Large-Scale Agile Software Development: A Systematic Literature Review (2021) published in IEEE Transactions on Software Engineering; Software Startups -- A Research Agenda (2023) in Munich Personal RePEc Archive (Ludwig Maximilian University of Munich); From transformation to normalisation: An exploratory study of a large-scale agile transformation (2023) in Journal of Information Technology; Understanding Hypotheses Engineering in Software Startups through a Gray Literature Review (2020) in Information and Software Technology; and Clues in Tweets (2022) presented at the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.
Xiaofeng Wang frequently collaborates with other researchers. Key co-authors include Jorge Melegati, Eduardo Guerra, Pekka Abrahamsson, Dron Khanna, and Henry Edison.
Their work is regularly published in several venues, with multiple contributions to Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), SSRN Electronic Journal, Journal of Computer Assisted Learning, and IEEE Transactions on Software Engineering.
In addition to journal and conference papers, Xiaofeng Wang has contributed to book publications. One such publication is part of a collection released by Springer Science+Business Media, titled Agile Processes in Software Engineering and Extreme Programming (2021).
Clemens Kolbitsch;Paolo Milani Comparetti;Christopher Kruegel;Engin Kirda
Anupam Das;Joseph Bonneau;Matthew Caesar;Nikita Borisov
Roman Schlegel;Kehuan Zhang;Xiao-yong Zhou;Mehool Intwala
Shuo Chen;Rui Wang;XiaoFeng Wang;Kehuan Zhang
Richard Vidgen;Xiaofeng Wang
Pekka Abrahamsson;Kieran Conboy;Xiaofeng Wang
Wenhao Wang;Guoxing Chen;Xiaorui Pan;Yinqian Zhang
Jiongyi Chen;Wenrui Diao;Qingchuan Zhao;Chaoshun Zuo
Rui Wang;Shuo Chen;XiaoFeng Wang
Kieran Conboy;Sharon Coyle;Xiaofeng Wang;Minna Pikkarainen
Muhammad Naveed;Erman Ayday;Ellen W. Clayton;Jacques Fellay
Rui Wang;Yong Fuga Li;XiaoFeng Wang;Haixu Tang
Xiaofeng Wang;Tuomas Sandholm
Xiaofeng Wang;M.K. Reiter
Zhou Li;Kehuan Zhang;Yinglian Xie;Fang Yu
Kehuan Zhang;Xiaoyong Zhou;Yangyi Chen;XiaoFeng Wang
K. Conboy;S. Coyle;Xiaofeng Wang;Minna Pikkarainen
Xiaofeng Wang;Kieran Conboy;Oisin Cawley
Alberto Sillitti;Angela Martin;Xiaofeng Wang;Elizabeth Whitworth
Carlos Solis;Xiaofeng Wang
Daniel Graziotin;Fabian Fagerholm;Fabian Fagerholm;Xiaofeng Wang;Pekka Abrahamsson
Carmine Giardino;Xiaofeng Wang;Pekka Abrahamsson
Daniel Graziotin;Xiaofeng Wang;Pekka Abrahamsson
Xuejing Yuan;Yuxuan Chen;Yue Zhao;Yunhui Long
Jun Tang;Aleksandra Korolova;Xiaolong Bai;Xueqiang Wang
Carmine Giardino;Sohaib Shahid Bajwa;Xiaofeng Wang;Pekka Abrahamsson
Sohaib Shahid Bajwa;Xiaofeng Wang;Anh Nguyen Duc;Pekka Abrahamsson
Henry Edison;Xiaofeng Wang;Kieran Conboy
Nattakarn Phaphoom;Xiaofeng Wang;Sarah Samuel;Sven Helmer
Xiaofeng Wang;Kieran Conboy;Minna Pikkarainen
Michael Unterkalmsteiner;Pekka Kalevi Abrahamsson;Xiaofeng Wang;Anh Nguyen-Duc
Pekka Abrahamsson;Sven Helmer;Nattakarn Phaphoom;Lorenzo Nicolodi
Daniel Graziotin;Xiaofeng Wang;Pekka Abrahamsson
Henry Edison;Nina M. Smørsgård;Xiaofeng Wang;Pekka Abrahamsson
Daniel Graziotin;Fabian Fagerholm;Xiaofeng Wang;Pekka Abrahamsson
Paul Ralph;Nauman bin Ali;Sebastian Baltes;Domenico Bianculli
Daniel Graziotin;Xiaofeng Wang;Pekka Abrahamsson
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees related to computer science opens doors to numerous career opportunities in technology and beyond. For those seeking a fast track, many universities now offer accelerated computer science degree options online, allowing students to graduate faster and enter the workforce quickly.
Computer science skills are highly transferable. For example, a background in this field pairs well with environmental engineer degree online programs, which increasingly rely on data analysis and modeling. Similar overlaps exist with online degree for mechanical engineering programs, particularly in automation, robotics, and software development.
Graduates are not limited to traditional tech roles—skills in computer science and engineering provide access to diverse fields. You might be surprised by the variety of jobs for environmental science majors that now require tech expertise, such as data-driven sustainability analysis and environmental modeling. Online degree programs make it easier than ever to customize your education and career path.
Universidade de Vigo
National Taipei University of Technology
Uppsala University
Korea Advanced Institute of Science and Technology
Wageningen University & Research
Purdue University West Lafayette
Northwestern University
Geological Survey of Canada
Columbia University
University of Erlangen-Nuremberg
Stanford University
University of Bamberg
Lou Ruvo Brain Institute
Macquarie University
Ludwig-Maximilians-Universität München
United States Geological Survey