Computer Science and Information Technology  

Computer Science and Information Technology is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of computer science and information technology. As an important academic exchange platform, scientists and researchers can know the most up-to-date academic trends and seek valuable primary sources for reference.


ISSN: 2331-6063 (Print)

ISSN: 2331-6071 (Online)


Contact Us: csit.editor@hrpub.org or editor@hrpub.org

Website: https://www.hrpub.org/journals/jour_info.php?id=35


Archive

Volume 8   2020
Vol.8 No.1Vol.8 No.2Vol.8 No.3Vol.8 No.4
Volume 7   2019
Vol.7 No.1Vol.7 No.2Vol.7 No.3Vol.7 No.4Vol.7 No.5
Volume 6   2018
Vol.6 No.1Vol.6 No.2Vol.6 No.3Vol.6 No.4
Volume 5   2017
Vol.5 No.1Vol.5 No.2Vol.5 No.3Vol.5 No.4Vol.5 No.5
Volume 4   2016
Vol.4 No.1Vol.4 No.2Vol.4 No.3Vol.4 No.4Vol.4 No.5
Volume 3   2015
Vol.3 No.1Vol.3 No.2Vol.3 No.3Vol.3 No.4Vol.3 No.5Vol.3 No.6
Volume 2   2014
Vol.2 No.1Vol.2 No.2Vol.2 No.3Vol.2 No.4Vol.2 No.5Vol.2 No.6
Vol.2 No.7Vol.2 No.8
Volume 1   2013
Vol.1 No.1Vol.1 No.2Vol.1 No.3Vol.1 No.4

Vol 8(Oct, 2020) No 4

Predicting Road Accident Risk in the City of San Pablo, Laguna: A Predictive Model Using Time Series Forecasting Analysis with Multiplicative Model

Reymar V. Manaloto, Ronnel A. Dela Cruz

[Abstract] [Full Text] [Full Article - PDF] pp. 75 - 80

DOI: 10.13189/csit.2020.080401

An Enhanced Scalable Design Approach for Managing Large Scale Variability in Software Product Lines (SPLs)

Muhammad Garba, Muhammad Nura Malami, Muhammad Muazu, Abubakar Ahmad Aliero, Dalhatu Mohammed, Bashar Umar Kangiwa

[Abstract] [Full Text] [Full Article - PDF] pp. 81 - 89

DOI: 10.13189/csit.2020.080402