Software defect prediction via attention‐based recurrent neural network

G Fan, X Diao, H Yu, K Yang, L Chen - Scientific Programming, 2019 - Wiley Online Library
In order to improve software reliability, software defect prediction is applied to the process of
software maintenance to identify potential bugs. Traditional methods of software defect …

Classification Algorithms for Software Defect Prediction: A Systematic Literature Review

MJ Hemández-Molinos… - 2021 9th …, 2021 - ieeexplore.ieee.org
Within Software Engineering, it is essential to build quality software. An obstacle to the after
mentioned are the defects that can be found in any phase of software development. That is …

Failure of one, fall of many: An exploratory study of software features for defect prediction

GE dos Santos, E Figueiredo - 2020 IEEE 20th International …, 2020 - ieeexplore.ieee.org
Software defect prediction represents an area of interest in both academia and the software
industry. Thus, software defects are prevalent in software development and might generate …

Balancing the trade-off between accuracy and interpretability in software defect prediction

T Mori, N Uchihira - Empirical Software Engineering, 2019 - Springer
Context Classification techniques of supervised machine learning have been successfully
applied to various domains of practice. When building a predictive model, there are two …

Empirical assessment of machine learning based software defect prediction techniques

VUB Challagulla, FB Bastani, IL Yen… - International Journal on …, 2008 - World Scientific
Automated reliability assessment is essential for systems that entail dynamic adaptation
based on runtime mission-specific requirements. One approach along this direction is to …

BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques

SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2020 - Elsevier
In software fault prediction systems, there are many hindrances for detecting faulty modules,
such as missing values or samples, data redundancy, irrelevance features, and correlation …

Software defect-based prediction using logistic regression: Review and challenges

J Goyal, R Ranjan Sinha - Second International Conference on …, 2022 - Springer
Software analysis and prediction system development is the significant and much-needed
field of software testing in software engineering. The automatic software predictors analyze …

Machine Learning Techniques to Predict Software Defect

R Mohanty, V Ravi - Artificial Intelligence: Concepts, Methodologies …, 2017 - igi-global.com
The past 10 years have seen the prediction of software defects proposed by many
researchers using various metrics based on measurable aspects of source code entities (eg …

A systematic study for learning-based software defect prediction

H Cao - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Software defect refers to the code error in the process of software development, which could
cause execution fault under specific conditions, resulting in failure, collapse, and high cost of …

On the costs and profit of software defect prediction

S Herbold - IEEE Transactions on Software Engineering, 2019 - ieeexplore.ieee.org
Defect prediction can be a powerful tool to guide the use of quality assurance resources.
However, while lots of research covered methods for defect prediction as well as …