"Open Lectures" from Boğaziçi University
Boğaziçi University starts lectures on various scientific issues open to all Read more...
Senior Projects
Our senior students have completed their CMPE 491 Graduation project Read more...
CmpE Team wins award at the EmotiW Challenge
A CmpE team, composed of Heysem Kaya, Furkan Gürpınar, Sadaf Afshar, and Albert Read more...
BUVAK Award for Excellence in Research
Our faculty members Albert Ali Salah and Cem Ersoy recieved the Boğaziçi Read more...

CmpE Events


  1. Defect Prediction on a Legacy Industrial Software: A Case Study on Software with Few Defects
    • Start time: 12:00pm, Monday, May 2nd
    • End time: 01:00pm, Monday, May 2nd
    • Where: BM A6
    • Defect Prediction on a Legacy Industrial Software: A Case Study on Software with Few Defects
      by Yavuz Koroglu


      Building defect prediction models for software projects is helpful for reducing the effort in locating defects. In this presentation, we share our experiences in building a defect prediction model for a large industrial software project. We extract product and process metrics to build models and show that we can build an accurate defect prediction model even when 4% of the software is Defective. Our results indicate that we can focus testing efforts by guiding the test team to only 8% of the software where 53% of actual defects reside.

      Date: Monday, 2-5-2016
      Time: 12:00
      Place: BM A6

    • View this event in Google Calendar

Tuesday, May 3rd

  1. Seminar: Review Rating Prediction by Ali Erkan
    • Start time: 12:00pm, Tuesday, May 3rd
    • End time: 01:00pm, Tuesday, May 3rd
    • Where: BM A6
    • Abstract:

      Review websites, such as IMDB, TripAdvisor and Yelp, allow users to post online reviews for various businesses, products and services, and have been recently shown to have a significant influence on consumer shopping behavior. An online review typically consists of free-form text and a star rating out of 5 or 10. The problem of predicting a user’s star rating for a product, given the user’s text review for that product, is called Review Rating Prediction and has lately become a popular problem in machine learning. Review Rating Prediction is a multi-class classification problem, and to solve this problem different feature extraction methods have been used such as lettergrams, unigrams, bigrams, trigrams and Latent Semantic Indexing, with different machine learning algorithms such as logistic regression, Naive Bayes classification, perceptrons, and linear Support Vector Classification. We will summarize previous and current studies and talk about our studies with IMDB reviews.

      Ali Erkan received his B.Sc. and M.Sc. degrees from Department of Industrial Engineering, Bilkent University, Ankara, Turkey, and he received M.Sc. degree in Software Engineering from Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey. He is currently studying for Ph.D. degree at Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey. His research interests include natural language processing, machine learning, pattern recognition. Besides, he has working as java software engineer for over 15 years.

    • View this event in Google Calendar

Monday, May 9th

  1. Departmental exams for candidates applying to graduate programs for 2016 Fall term
    • Start time: 09:30am, Monday, May 9th
    • End time: 05:00am, Tuesday, May 10th
    • Where: Department
    • Oral Exam/Interview Date: 9 May 2016
      Oral Exam/Interview Hour/Place: 09:30-17:00 / Department

    • View this event in Google Calendar

Friday, May 13th

  1. Classes end

Tuesday, May 17th

  1. Final exams

Thursday, May 19th

  1. Youth and Sports Fest (Holiday)

Monday, June 13th

  1. Registration period for Summer Term

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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