Empirical evaluation of classifiers for software risk management

Y Peng, G Kou, G Wang, H Wang… - International Journal of …, 2009 - World Scientific
Software development involves plenty of risks, and errors exist in software modules
represent a major kind of risk. Software defect prediction techniques and tools that identify …

[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 …

A comparison framework of classification models for software defect prediction

RS Wahono, NS Herman… - Advanced Science Letters, 2014 - ingentaconnect.com
Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …

A systematic review of machine learning techniques for software fault prediction

R Malhotra - Applied Soft Computing, 2015 - Elsevier
Background Software fault prediction is the process of developing models that can be used
by the software practitioners in the early phases of software development life cycle for …

[PDF][PDF] Improved random forest algorithm for software defect prediction through data mining techniques

SG Jacob - International Journal of Computer Applications, 2015 - Citeseer
Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …

Classification with reject option for software defect prediction

DPP Mesquita, LS Rocha, JPP Gomes… - Applied Soft Computing, 2016 - Elsevier
Context Software defect prediction (SDP) is an important task in software engineering. Along
with estimating the number of defects remaining in software systems and discovering defect …

[PDF][PDF] Hybrid ensemble learning technique for software defect prediction

MZ Khan - International Journal of Modern Education & Computer …, 2020 - mecs-press.net
The reliability of software depends on its ability to function without error. Unfortunately, errors
can be generated during any phase of software development. In the field of software …

[PDF][PDF] Support vector machine for software defect prediction

PA Selvaraj, P Thangaraj - International Journal of Engineering & …, 2013 - academia.edu
Identifying/removing software defects is time consuming. In ill planned projects, rectifying
defects consumes more time than for code development. Defective module prediction is …

Software defect prediction using supervised learning algorithm and unsupervised learning algorithm

A Chug, S Dhall - 2013 - IET
Software defect prediction has recently attracted attention of many software quality
researchers. One of the major areas in current project management software is to effectively …

Effective software defect prediction using support vector machines (SVMs)

S Goyal - International Journal of System Assurance Engineering …, 2022 - Springer
Software defect prediction (SDP) plays a key role in the timely delivery of good quality
software product. In the early development phases, it predicts the error-prone modules …