J Yao, M Shepperd - Information and Software Technology, 2021 - Elsevier
Context: Software engineering researchers have undertaken many experiments investigating the potential of software defect prediction algorithms. Unfortunately some …
H Hong - Forest Ecology and Management, 2023 - Elsevier
Assessing and mapping landslide susceptibility is a powerful approach to decrease the cost of landslide disasters. The aim of this paper is to design combination models by combining …
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends to automatically create summaries of enormous amounts of text so that readers can save …
Feature selection is known to be an applicable solution to address the problem of high dimensionality in software defect prediction (SDP). However, choosing an appropriate filter …
In the medical profession, recent technological advancements play an essential role in the early detection and categorization of many diseases that cause mortality. The technique …
Risk prediction is the most sensitive and critical activity in the Software Development Life Cycle (SDLC). It might determine whether the project succeeds or fails. To increase the …
Due to the rising complexity of software projects, it is quite difficult to predict the risk in software requirements which is the most profound and essential activity in SDLC. It may lead …
S Mejjaouli, S Guizani - Applied Sciences, 2023 - mdpi.com
The number of cyber-attacks is increasing daily, and attackers are coming up with new ways to harm their target by disseminating viruses and other malware. With new inventions and …
Maintaining quality in software development projects is becoming very difficult because the complexity of modules in the software is growing exponentially. Software defects are the …