Repository logo
Log In

University Digital Conservancy

University Digital Conservancy

Communities & Collections
Browse
About
AboutHow to depositPolicies
Contact

Browse by Author

  1. Home
  2. Browse by Author

Browsing by Author "Kocaguneli, Ekrem"

Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    When to Use Data from Other Projects for Effort Estimation
    (2010) Kocaguneli, Ekrem; Gay, Gregory; Menzies, Tim; Yang, Ye; Keung, Jacky
    Collecting the data required for quality prediction within a development team is time-consuming and expensive. An alternative to make predictions using data that crosses from other projects or even other companies. We show that with/without relevancy filtering, imported data performs the same/worse (respectively) than using local data. Therefore, we recommend the use of relevancy filtering whenever generating estimates using data from another project.

UDC Services

  • About
  • How to Deposit
  • Policies
  • Contact

Related Services

  • University Archives
  • U of M Web Archive
  • UMedia Archive
  • Copyright Services
  • Digital Library Services

Libraries

  • Hours
  • News & Events
  • Staff Directory
  • Subject Librarians
  • Vision, Mission, & Goals
University Libraries

© 2025 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer.
Policy statement | Acceptable Use of IT Resources | Report web accessibility issues