A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[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 …
[HTML][HTML] Software Defect Prediction Analysis Using Machine Learning Techniques
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …
customer satisfaction and to save testing expenses. As a result, we examined various known …
Hyper-parameter optimization of classifiers, using an artificial immune network and its application to software bug prediction
Software testing is an important task in software development activities, and it requires most
of the resources, namely, time, cost and effort. To minimize this fatigue, software bug …
of the resources, namely, time, cost and effort. To minimize this fatigue, software bug …
Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality
Abstract Retraction:[Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal,
Yousef Ibrahim Daradkeh, Mohammad Shabaz, Scientific programming using optimized …
Yousef Ibrahim Daradkeh, Mohammad Shabaz, Scientific programming using optimized …
[HTML][HTML] Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
In recent years, the software industry has invested substantial effort to improve software
quality in organizations. Applying proactive software defect prediction will help developers …
quality in organizations. Applying proactive software defect prediction will help developers …
Software reliability prediction: A survey
Softwares play an important role in controlling complex systems. Monitoring the proper
functioning of the components of such systems is the principal role of softwares. Often, a …
functioning of the components of such systems is the principal role of softwares. Often, a …
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 …
[HTML][HTML] Software defect prediction with Bayesian approaches
MJ Hernández-Molinos, AJ Sánchez-García… - Mathematics, 2023 - mdpi.com
Software defect prediction is an important area in software engineering because it helps
developers identify and fix problems before they become costly and hard-to-fix bugs. Early …
developers identify and fix problems before they become costly and hard-to-fix bugs. Early …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …