[HTML][HTML] An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review
NK Nagwani, JS Suri - … Journal of Information Management Data Insights, 2023 - Elsevier
The timely release of defect-free software and the optimization of development costs depend
on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast …
on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast …
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Twitter being among the popular social media platforms, provide peoples' opinions
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
Detection of fake job postings by utilizing machine learning and natural language processing approaches
The modern era is about everything that can be handled virtually in human life, such as
online banking, education, security, job, etc. This increase in technology use also makes it …
online banking, education, security, job, etc. This increase in technology use also makes it …
Spam SMS filtering based on text features and supervised machine learning techniques
The advancement in technology made a significant mark with time, which affects every field
of life like medicine, music, office, traveling, and communication. Telephone lines are used …
of life like medicine, music, office, traveling, and communication. Telephone lines are used …
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging
RR Panda, NK Nagwani - Knowledge and Information Systems, 2022 - Springer
Modern software development involves multiple developers working remotely in a
distributed manner around the world. Software bugs are continuously generated for multiple …
distributed manner around the world. Software bugs are continuously generated for multiple …
Learning sentiment analysis for accessibility user reviews
Nowadays, people use different ways to express emotions and sentiments such as facial
expressions, gestures, speech, and text. With the exponentially growing popularity of mobile …
expressions, gestures, speech, and text. With the exponentially growing popularity of mobile …
On the identification of accessibility bug reports in open source systems
Today, mobile devices provide support to disabled people to make their life easier due to
their high accessibility and capability, eg, finding accessible locations, picture and voice …
their high accessibility and capability, eg, finding accessible locations, picture and voice …
Nature-based prediction model of bug reports based on Ensemble Machine Learning Model
SA Alsaedi, AY Noaman, AAA Gad-Elrab… - IEEE Access, 2023 - ieeexplore.ieee.org
In software development systems, the maintenance process of software systems attracted
the attention of researchers due to its importance in fixing the defects discovered in the …
the attention of researchers due to its importance in fixing the defects discovered in the …
Uncertainty-wise software anti-patterns detection: a possibilistic evolutionary machine learning approach
Context: Code smells (aka anti-patterns) are manifestations of poor design solutions that can
deteriorate software maintainability and evolution. Research gap: Existing works did not take …
deteriorate software maintainability and evolution. Research gap: Existing works did not take …
Empirical Investigation of Accessibility Bug Reports in Mobile Platforms: A Chromium Case Study
Accessibility is an important quality factor of mobile applications. Many studies have shown
that, despite the availability of many resources to guide the development of accessible …
that, despite the availability of many resources to guide the development of accessible …