Using machine learning techniques for DSP software performance prediction at source code level

Using machine learning techniques for DSP software performance prediction at source code level

Efficient performance prediction at the source code level is essential in reducing the turnaround time of software development. In this paper, we introduce a new prediction model, which combines several machine learning algorithms, such as KNN, clustering, similarity, sample and attribute weighting...

Full description

Bibliographic Details
Main Authors: Weihua Liu, Erh-Wen Hu, Bogong Su, Jian Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Connection Science
Subjects:
performance prediction
source code level
machine learning
Online Access:http://dx.doi.org/10.1080/09540091.2020.1762542

Internet

http://dx.doi.org/10.1080/09540091.2020.1762542

Similar Items