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International Journal of Open Source Software & Processes, Volume 12
Volume 12, Number 1, 2021
- Gao Niu, Richard S. Segall
, Zichen Zhao, Zhijian Wu:
A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities. 1-20 - Kapil Kumar, Shyla, Vishal Bhatnagar:
Credit Card Fraud Transaction Detection System Using Neural Network-Based Sequence Classification Technique. 21-40 - Satya Sobhan Panigrahi, Ajay Kumar Jena:
Optimization of Test Cases in Object-Oriented Systems Using Fractional-SMO. 41-59 - Ahmed H. Almulihi, Fahd S. Alharithi
, Seifeddine Mechti, Roobaea Alroobaea
, Saeed Rubaiee:
A Software for Thorax Images Analysis Based on Deep Learning. 60-71
Volume 12, Number 2, 2021
- Nagwa R. Fisal, Abeer Hamdy
, Essam A. Rashed:
Search-Based Regression Testing Optimization. 1-20 - Archana Patnaik, Neelamadhab Padhy
:
A Hybrid Approach to Identify Code Smell Using Machine Learning Algorithms. 21-35 - Wasiur Rhmann:
Quantitative Software Change Prediction in Open Source Web Projects Using Time Series Forecasting. 36-51 - Eviatar Rosenberg, Dima Alberg:
An Open Source Finance System for Stocks Backtesting Trade Strategies. 52-65
Volume 12, Number 3, 2021
- Mokhtaria Bouslama
, Mustapha Kamel Abdi
:
Towards a Formal Approach for Assessing the Design Quality of Object-Oriented Systems. 1-16 - Amandeep Kaur, Munish Saini
:
Enhancing the Software Clone Detection in BigCloneBench: A Neural Network Approach. 17-31 - Chaitanya Pandey:
redBERT: A Topic Discovery and Deep Sentiment Classification Model on COVID-19 Online Discussions Using BERT NLP Model. 32-47 - Hashem Alyami
, Wael Alosaimi, Moez Krichen, Roobaea Alroobaea
:
Monitoring Social Distancing Using Artificial Intelligence for Fighting COVID-19 Virus Spread. 48-63
Volume 12, Number 4, 2021
- Ashutosh Mishra
, Meenu Singla:
A Software Fault Prediction on Inter- and Intra-Release Prediction Scenarios. 1-18 - Rasmita Panigrahi, Sanjay Kumar Kuanar, Lov Kumar:
An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency. 1-18 - Kapil Kumar:
Comprehensive Method of Botnet Detection Using Machine Learning. 1-25
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