RS Rao, S Dewangan, A Mishra, M Gupta - Scientific Reports, 2023 - nature.com
Detecting code smells may be highly helpful for reducing maintenance costs and raising source code quality. Code smells facilitate developers or researchers to understand several …
Software development projects require a critical and costly testing phase to investigate efficiency of the resultant product. As the size and complexity of project increases, manual …
SS Rathore, S Kumar - Applied Intelligence, 2021 - Springer
Previously, many researchers have performed analysis of various techniques for the software fault prediction (SFP). Oddly, the majority of such studies have shown the limited …
Code smell detection can be very useful for minimizing maintenance costs and improving software quality. Code smells help developers/programmers, researchers to subjectively …
This research contributes an intelligent cloud-based software defect prediction system using data and decision-level machine learning fusion techniques. The proposed system detects …
A Abdou, N Darwish - Journal of Software: Evolution and …, 2024 - Wiley Online Library
Code smell is a software characteristic that indicates bad symptoms in code design which causes problems related to software quality. The severity of code smells must be measured …
The software engineering field has long focused on creating highquality software despite limited resources. Detecting defects before the testing stage of software development can …
SI Ayon - 2019 1st International Conference on Advances in …, 2019 - ieeexplore.ieee.org
In the arena of software engineering, software defects prediction is one of the most attractive research topics. Here the main task is to predict if there is any bug in the software or not. For …
Software Bug Prediction (SBP) is an integral process to the software's success that involves predicting software bugs before their occurrence. Detecting software bugs early in the …