Software defect prediction using artificial neural networks: A systematic literature review

MA Khan, NS Elmitwally, S Abbas, S Aftab… - Scientific …, 2022 - Wiley Online Library
The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …

COVID-19 detection from CBC using machine learning techniques

A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …

Treatment response prediction in hepatitis C patients using machine learning techniques

AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

Vaccine hesitancy on social media: Sentiment analysis from June 2011 to April 2019

H Piedrahita-Valdés, D Piedrahita-Castillo… - Vaccines, 2021 - mdpi.com
Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the
World Health Organisation. Nowadays, social media has an important role in the spread of …

[PDF][PDF] Sentiment analysis using SVM: A systematic literature review

M Ahmad, S Aftab, MS Bashir… - International Journal of …, 2018 - pdfs.semanticscholar.org
The world has revolutionized and phased into a new era, an era which upholds the true
essence of technology and digitalization. As the market has evolved at a staggering scale, it …

Sentiment analysis on product reviews using machine learning techniques

RS Jagdale, VS Shirsat, SN Deshmukh - Cognitive Informatics and Soft …, 2019 - Springer
Abstract Sentiment Analysis and Opinion Mining is a most popular field to analyze and find
out insights from text data from various sources like Facebook, Twitter, and Amazon, etc. It …

A survey of sentiment analysis from social media data

K Chakraborty, S Bhattacharyya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

[PDF][PDF] Sentiment analysis of tweets using svm

M Ahmad, S Aftab, I Ali - Int. J. Comput. Appl, 2017 - researchgate.net
Community's view and feedback have always proved to be the most essential and valuable
resource for companies and organizations. With social media being the emerging trend …

[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets

A Iqbal, S Aftab, U Ali, Z Nawaz, L Sana… - … Journal of Advanced …, 2019 - researchgate.net
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …

[PDF][PDF] A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP.

A Iqbal, S Aftab - International Journal of Modern Education & …, 2020 - researchgate.net
Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …