A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
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 …
from various teams in planning, execution, and testing. Many software products have high …
[PDF][PDF] Software bug prediction using machine learning approach
Software Bug Prediction (SBP) is an important issue in software development and
maintenance processes, which concerns with the overall of software successes. This is …
maintenance processes, which concerns with the overall of software successes. This is …
Semantic feature learning for software defect prediction from source code and external knowledge
J Liu, J Ai, M Lu, J Wang, H Shi - Journal of Systems and Software, 2023 - Elsevier
Software defects not only reduce operational reliability but also significantly increase overall
maintenance costs. Consequently, it is necessary to predict software defects at an early …
maintenance costs. Consequently, it is necessary to predict software defects at an early …
A novel approach to improve software defect prediction accuracy using machine learning
In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …
software's success, it is essential to reduce the software engineering and data-mining gap …
Impact of feature selection methods on the predictive performance of software defect prediction models: an extensive empirical study
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …
many FS methods have been proposed in the context of software defect prediction (SDP) …
A study on ML-based software defect detection for security traceability in smart healthcare applications
S Mcmurray, AH Sodhro - Sensors, 2023 - mdpi.com
Software Defect Prediction (SDP) is an integral aspect of the Software Development Life-
Cycle (SDLC). As the prevalence of software systems increases and becomes more …
Cycle (SDLC). As the prevalence of software systems increases and becomes more …
Software defect prediction analysis using machine learning algorithms
PD Singh, A Chug - 2017 7th international conference on cloud …, 2017 - ieeexplore.ieee.org
Software Quality is the most important aspect of a software. Software Defect Prediction can
directly affect quality and has achieved significant popularity in last few years. Defective …
directly affect quality and has achieved significant popularity in last few years. Defective …
Feature selection using firefly algorithm in software defect prediction
M Anbu, GS Anandha Mala - Cluster Computing, 2019 - Springer
Defects occurring in software product are a universal event. Prevention of these defects in
the early stage needs more attention because early stage prevention and fixing requires …
the early stage needs more attention because early stage prevention and fixing requires …
A comparative analysis for machine learning based software defect prediction systems
M Cetiner, OK Sahingoz - 2020 11th International Conference …, 2020 - ieeexplore.ieee.org
In the Software Engineering concept, the prediction of the software defects plays a vital role
in increasing the quality of the software systems, which is one of the most critical and …
in increasing the quality of the software systems, which is one of the most critical and …
Defect prediction in android binary executables using deep neural network
F Dong, J Wang, Q Li, G Xu, S Zhang - Wireless Personal Communications, 2018 - Springer
Software defect prediction locates defective code to help developers improve the security of
software. However, existing studies on software defect prediction are mostly limited to the …
software. However, existing studies on software defect prediction are mostly limited to the …