This paper is published in Volume-5, Issue-2, 2019
Area
Machine Learning
Author
Sudipto Nandan
Org/Univ
Oracle India Pvt. Ltd., Bengaluru, Karnataka, India
Pub. Date
29 March, 2019
Paper ID
V5I2-1571
Publisher
Keywords
Test case selection, Singular value decomposition, SVD, Recommendation system, Latent factor collaborative filtering, Alternating least square

Citationsacebook

IEEE
Sudipto Nandan. Test case recommendation system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sudipto Nandan (2019). Test case recommendation system. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Sudipto Nandan. "Test case recommendation system." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

A code transaction modifies a set of code files and runs a set of tests to make sure that it does not break any of the existing features. But how do we choose the target set of tests? There could be 1000s of tests. Do we run all those tests? In that case, are we not wasting resources, and delaying the whole process of merging a code change? Can we choose a static set of tests? In that case, we have a chance of missing a set of tests which may be related to the code changes. How do we find out the optimal set of tests for a given code change – is the goal which we are trying to solve using the Recommendation System.
Paper PDF