Defects in The Next Release; Software Defect Prediction Based on Source Code Versions

MM Nehi, Z Fakhrpoor… - … ICEE), Iranian Conference …, 2018 - ieeexplore.ieee.org
Nowadays, automatic defect prediction has attracted wide attention, but many researchers
neglected the availability of huge amount of data in version control systems. Deploying the …

Software Defect Prediction Model Using AdaBoost based Random Forest Technique

D Pradhan, D Muduli - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Software testing is a crucial step in the development procedure. Typically, the defects or
errors caused by developers are often dealt with a while later in software development …

Software defect prediction: an ML approach-based comprehensive study

K Anand, AK Jena - … , Software and Networks: Proceedings of INDIA 2022, 2022 - Springer
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

Software Defect Prediction for Reliability Analysis Using Machine Learning Approach

PB Baronia, C Gupta - … IEEE International Conference on ICT in …, 2023 - ieeexplore.ieee.org
Ensuring software dependability is of utmost importance in today's technology-driven world,
given the increasing significance of software and the potential consequences of defects …

Research on software defect prediction method based on machine learning

W Zhang, ZY Ma, QL Lu, XB Nie… - Applied Mechanics and …, 2014 - Trans Tech Publ
This paper analyzed 44 metrics of application level, file level, class level and function level,
and do correlation analysis with the number of software defects and defect density, the …

[PDF][PDF] Software defect prediction using a high performance neural network

MM Askari, VK Bardsiri - … Journal of Software Engineering and Its …, 2014 - researchgate.net
Predicting the existing defects in software products is one of the considerable issues in
software engineering that contributes a lot toward saving time in software production and …

An exploratory analysis of regression methods for predicting faults in software systems

SS Rathore - Soft Computing, 2021 - Springer
The use of regression methods, for instance, linear regression, decision tree regression, etc.,
has been used earlier to build software fault prediction (SFP) models. However, these …

Improved prediction of software defects using ensemble machine learning techniques

S Mehta, KS Patnaik - Neural Computing and Applications, 2021 - Springer
Software testing process is a crucial part in software development. Generally the errors
made by developers get fixed at a later stage of the software development process. This …

A systematic review of software fault prediction studies

C Catal, B Diri - Expert systems with applications, 2009 - Elsevier
This paper provides a systematic review of previous software fault prediction studies with a
specific focus on metrics, methods, and datasets. The review uses 74 software fault …

Software fault prediction: A literature review and current trends

C Catal - Expert systems with applications, 2011 - Elsevier
Software engineering discipline contains several prediction approaches such as test effort
prediction, correction cost prediction, fault prediction, reusability prediction, security …