Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

Context: Software engineering researchers have undertaken many experiments
investigating the potential of software defect prediction algorithms. Unfortunately some …

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 …

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 …