Automated assessment of correctness of recommendation systems
Pages 52 - 53
Abstract
Using a concrete example, this position paper makes a case for evaluating the correctness of software recommendation systems in an automated way, prior to conducting user studies, in order to assess the validity of the results and ideal configuration of the system to be evaluated.
Reference
[1]
A. Lozano, A. Kellens, and K. Mens, "Mendel: Source code recommendation based on a genetic metaphor," in Int'l Conf. on Automated Software Engineering (ASE), 2011, pp. 384--387.
Recommendations
A CMMI-Based Automated Risk Assessment Framework
APSEC '14: Proceedings of the 2014 21st Asia-Pacific Software Engineering Conference - Volume 02Risk assessment is crucial to the increase of software development project success. Current risk assessment approaches provide only a rough guide. Risk assessment experts and domain experts are required in conducting risk assessments in software ...
New Recommendation Techniques for Multicriteria Rating Systems
Traditional single-rating recommender systems have been successful in a number of personalization applications, but the research area of multicriteria recommender systems has been largely untouched. Taking full advantage of multicriteria ratings in ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
June 2012
101 pages
ISBN:9781467317597
- Conference Chairs:
- Walid Maalej,
- Martin Robillard,
- Robert J. Walker,
- Thomas Zimmermann
Sponsors
- SIGSOFT: ACM Special Interest Group on Software Engineering
- University of Zurich: University of Zurich
- IEEE CS
Publisher
IEEE Press
Publication History
Published: 04 June 2012
Check for updates
Qualifiers
- Research-article
Conference
ICSE '12
Sponsor:
- SIGSOFT
- University of Zurich
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 48Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 27 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in