Gülşen Demiröz
  • FENS
  • Gülşen Demiröz

You are here

(216) 483 9559
Personal Web
Ph.D., Sabanci University, Computer Science and Engineering Program, 2017
M.Sc., Bilkent University, Computer Engineering and Information Science, 1997
B.S., Bilkent University, Computer Engineering and Information Science, 1995
Areas of Interest
Software Testing
Software Development
Machine Learning
Reviewer in International Conference on Advances in System Testing and Validation Lifecycle, VALID 2017, 2013 ACM SIGSOFT
  • Article
    Yılmaz, Cemal and Fouche, Sandro and Cohen, Myra B. and Porter, Adam and Demiröz, Gülşen and Koç, Uğur (2014) "Moving forward with combinatorial interaction testing", Computer, Vol.47, No.2, 37-45 (SCI)
  • Papers in Conference Proceedings
    Demiröz, Gülşen and Yılmaz, Cemal, "Yazılım test maliyet fonksiyonlarının otomatik olarak keşfedilmesi", 10. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'16), Çanakkale Onsekiz Mart Üniversitesi, October 2016
    Demiröz, Gülşen and Yılmaz, Cemal, "Towards automatic cost model discovery for combinatorial interaction testing", 9th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), IEEE (Institute of Electrical and Electronics Engineers), April 2016, 46-50
  • Before SU Publications

    Google Scholar Profile

    • US Patent 7532571 – Providing online connectivity across a range of electronic communications systems.
    • H. A. Güvenir, G. Demiröz and N. Ilter, Learning Differential Diagnosis of Erythemato-Squamous Diseases using Voting Feature Intervals, Artificial Intelligence in Medicine, Vol. 13, No. 3, (1998), pp. 147-165.
    • G. Demiröz, and H. A. Güvenir, Classification by Voting Feature Intervals, in Proceedings of 9th European Conference on Machine Learning, Maarten van Someren and Gerhard Widmer (Eds.) Springer-Verlag, LNAI 1224, Prague, Czech Republic, (April 23-25, 1997), 85-92. (pdf copy)
    • G. Demiröz, H. A. Güvenir, and N. Ilter, Differential Diagnosis of Eryhemato-Squamous Diseases using Voting Feature Intervals, in New Trends in Artificial Intelligence and Neural Networks (Proceedings of TAINN’97), Turhan Ciftcibasi, Mustafa Karaman and Volkan Atalay (Eds.), Kizilcahamam, Ankara, (May 22-23, 1997), 190-194. (postscript copy)
    • G. Demiröz, and H. A. Güvenir, Genetic Algorithms to Learn Feature Weights for the Nearest Neighbor Algorithm, in Proceedings of the 6th Belgian-Dutch Conference on Machine Learning (BENELEARN-96), H. J. van den Herik and T. Weijters (Eds.), Universiteit Maastricht, The Netherlands, (September 20, 1996), 117-126. (postscript copy)