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},
  }