Empirical study of software defect prediction: a systematic mapping
LH Son, N Pritam, M Khari, R Kumar, PTM Phuong… - Symmetry, 2019 - mdpi.com
Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic mapping to analyze all the software …
software quality. In this paper, we perform a systematic mapping to analyze all the software …
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 …
software product. In the early development phases, it predicts the error-prone modules …
Software defect prediction using machine learning techniques
CL Prabha, N Shivakumar - 2020 4th International Conference …, 2020 - ieeexplore.ieee.org
Software defect prediction provides development groups with observable outcomes while
contributing to industrial results and development faults predicting defective code areas can …
contributing to industrial results and development faults predicting defective code areas can …
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 …
researchers. One of the major areas in current project management software is to effectively …
Software defect prediction using neural networks
R Jindal, R Malhotra, A Jain - Proceedings of 3rd International …, 2014 - ieeexplore.ieee.org
Defect severity assessment is the most crucial step in large industries and organizations
where the complexity of the software is increasing at an exponential rate. Assigning the …
where the complexity of the software is increasing at an exponential rate. Assigning the …
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 …
by the software practitioners in the early phases of software development life cycle for …
Predicting defect of software system
Any particular study on software quality with all desirable attributes of software products can
be treated as complete and perfect provided it is defective. Defects continue to be an …
be treated as complete and perfect provided it is defective. Defects continue to be an …
Software defect prediction model based on distance metric learning
C Jin - Soft Computing, 2021 - Springer
Software defect prediction (SDP) is a very important way for analyzing software quality and
reducing development costs. The data during software lifecycle can be used to predict …
reducing development costs. The data during software lifecycle can be used to predict …
On the costs and profit of software defect prediction
S Herbold - IEEE Transactions on Software Engineering, 2019 - ieeexplore.ieee.org
Defect prediction can be a powerful tool to guide the use of quality assurance resources.
However, while lots of research covered methods for defect prediction as well as …
However, while lots of research covered methods for defect prediction as well as …
Researcher bias: The use of machine learning in software defect prediction
Background. The ability to predict defect-prone software components would be valuable.
Consequently, there have been many empirical studies to evaluate the performance of …
Consequently, there have been many empirical studies to evaluate the performance of …