Recommender System for Software Engineering using SQL Semantic Search

  • et al.
N/ACitations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Recommender Systems are software tools that can assist developers with a wide range of activities, from reusing codes to suggest developers what to do during development of these systems. This paper outlines an approach to generating recommendation using SQL Semantic Search. Performance measurement of this recommender system is conducted by calculating precision, recall and F1-measure. Subjective evaluations consisted of 10 experienced developers for validating the recommendation. A statistical test t-Test is used to compare the means of two approaches of evaluations.

Cite

CITATION STYLE

APA

Desku, A., Raufi, B., … Selimi, B. (2022). Recommender System for Software Engineering using SQL Semantic Search. International Journal of Engineering and Advanced Technology, 11(4), 119–122. https://doi.org/10.35940/ijeat.d3494.0411422

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free