A systematic literature review on fault prediction performance in software engineering
Background: The accurate prediction of where faults are likely to occur in code can help
direct test effort, reduce costs, and improve the quality of software. Objective: We investigate …
direct test effort, reduce costs, and improve the quality of software. Objective: We investigate …
A study on software fault prediction techniques
SS Rathore, S Kumar - Artificial Intelligence Review, 2019 - Springer
Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …
underlying properties of the software project before the actual testing process begins. It …
Heterogeneous defect prediction
Software defect prediction is one of the most active research areas in software engineering.
We can build a prediction model with defect data collected from a software project and …
We can build a prediction model with defect data collected from a software project and …
Software defect prediction using ensemble learning on selected features
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
Cross-project defect prediction using a connectivity-based unsupervised classifier
Defect prediction on projects with limited historical data has attracted great interest from both
researchers and practitioners. Cross-project defect prediction has been the main area of …
researchers and practitioners. Cross-project defect prediction has been the main area of …
Advances in software inspections
ME Fagan - Pioneers and Their Contributions to Software …, 2001 - Springer
This paper presents new studies and experiences that enhance the use of the inspection
process and improve its contribution to development of defect-free software on time and at …
process and improve its contribution to development of defect-free software on time and at …
A data-driven approach to improve customer churn prediction based on telecom customer segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction
Cross-project defect prediction (CPDP) refers to predicting defects in a target project using
prediction models trained from historical data of other source projects. And CPDP in the …
prediction models trained from historical data of other source projects. And CPDP in the …
[HTML][HTML] Multiple-classifiers in software quality engineering: Combining predictors to improve software fault prediction ability
Software development projects require a critical and costly testing phase to investigate
efficiency of the resultant product. As the size and complexity of project increases, manual …
efficiency of the resultant product. As the size and complexity of project increases, manual …
[HTML][HTML] The perceived overqualification's effect on innovative work behaviour: Do transformational leadership and turnover intention matter?
This paper aims to test the mediating role of turnover intention as well as the moderating role
of transformational leadership in the relationship between perceived overqualification and …
of transformational leadership in the relationship between perceived overqualification and …