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 in software defect prediction: A comparative study
Software has become a vital part of human's life-hence building defect free software is a
must. Various studies have been carried out to predict defects, probability of defect prone …
must. Various studies have been carried out to predict defects, probability of defect prone …
Enhancing software defect prediction using supervised-learning based framework
Software Defect Prediction (SDP) proposes to define the exposure of software to defect by
building prediction models through using defect data and the software metrics with several …
building prediction models through using defect data and the software metrics with several …
A framework for adoption of machine learning in industry for software defect prediction
Machine learning algorithms are increasingly being used in a variety of application domains
including software engineering. While their practical value have been outlined …
including software engineering. While their practical value have been outlined …
[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study
A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …
schedule that could be expected under diverse circumstances. Many software development …
Software defect prediction via convolutional neural network
To improve software reliability, software defect prediction is utilized to assist developers in
finding potential bugs and allocating their testing efforts. Traditional defect prediction studies …
finding potential bugs and allocating their testing efforts. Traditional defect prediction studies …
Neural network based software defect prediction using genetic algorithm and particle swarm optimization
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 …
research topics. Here the main task is to predict if there is any bug in the software or not. For …
Defect prediction: Accomplishments and future challenges
As software systems play an increasingly important role in our lives, their complexity
continues to increase. The increased complexity of software systems makes the assurance …
continues to increase. The increased complexity of software systems makes the assurance …
Improved approach for software defect prediction using artificial neural networks
T Sethi - 2016 5th International Conference on Reliability …, 2016 - ieeexplore.ieee.org
Software defect prediction (SDP) is a most dynamic research area in software engineering.
SDP is a process used to predict the deformities in the software. To identifying the defects …
SDP is a process used to predict the deformities in the software. To identifying the defects …
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 …