Automated Assessment of Correctness of Recommendation Systems
- Title
- Automated Assessment of Correctness of Recommendation Systems
- Authors
- Angela Lozano, Andy Kellens, Kim Mens
- Type
- In Proceedings
- Book title
- Proc. of the 3rd Int'l Workshop on Recommendation Systems for Software Engineering
- Pages
- 2
- Publisher
- ACM
- Year
- 2012
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.
Tags: Kim Mens, Angela Lozano, Structural Source Code Regularities, Source Code Mining, Software Restructuring, Software Evolution, Software Maintenance, Software Development, Tools, Source Code Recommendation, Software Comprehension, Source Code Analysis
- BibTeX Record
@inproceedings{RELEASeD-2012-934253, title = {Automated Assessment of Correctness of Recommendation Systems}, author = {Angela Lozano and Andy Kellens and Kim Mens}, year = {2012}, pages = {2}, booktitle = {Proc. of the 3rd Int'l Workshop on Recommendation Systems for Software Engineering}, publisher = {ACM}, }