Software defect density prediction using grey system theory and fuzzy logic

M Azzeh, Y Elsheikh, Y Alqasrawi - Soft Computing, 2024 - Springer
Defect Density (DD) is a cornerstone metric in software quality assessment, influencing
decisions across quality planning, testing strategies, and resource allocation. However …

Prediction of defect density for open source software using repository metrics

D Verma, S Kumar - Journal of Web Engineering, 2017 - journals.riverpublishers.com
Open source software refers to software with unrestricted access for use or modification.
Many software development organizations are using this open source methodology in their …

Software defect density prediction based on multiple linear regression

S Rathaur, N Kamath… - 2020 Second International …, 2020 - ieeexplore.ieee.org
The software quality is an indicator of the ability of a software system to function in
accordance with the customer requirements. In maintaining an acceptable software quality …

Self-organized design of virtual reality simulator for identification and optimization of healthcare software components

AK Srivastava, S Kumar, M Zareapoor - Journal of Ambient Intelligence …, 2024 - Springer
As in the current trend, the virtual reality-based application is very popular in the medical
healthcare system to generate a realistic virtual 3-D simulation environment that users can …

A soft computing approach for software defect density prediction

M Azzeh, Y Alqasrawi, Y Elsheikh - Journal of Software …, 2024 - Wiley Online Library
Defect density is an essential software testing and maintenance aspect that determines the
quality of software products. It is used as a management factor to distribute limited human …

An effective computational technique for taxonomic position of security vulnerability in software development

AK Srivastava, S Kumar - Journal of Computational Science, 2018 - Elsevier
An increasing demand of security standards in open networks and distributed computing
environment has become a critical issue for automation of the business process workflow. At …

Analysis of approach for predicting software defect density using static metrics

N Mandhan, DK Verma, S Kumar - International Conference on …, 2015 - ieeexplore.ieee.org
Now a day's software development is growing rapidly. Due to this, there is also a rapid
growth in the number of occurrences of defects. In this paper, defect density had been …

Prediction of software effort in the early stage of software development: a hybrid model

P Rai, S Kumar, DK Verma - IEEE Canadian Journal of …, 2021 - ieeexplore.ieee.org
The key challenge that project managers face during software development is the accurate
prediction of the software effort. Improper prediction leads either to overestimation or …

An empirical assessment and validation of redundancy metrics using defect density as reliability indicator

D Amara, E Fatnassi… - Scientific …, 2021 - Wiley Online Library
Software metrics which are language‐dependent are proposed as quantitative measures to
assess internal quality factors for both method and class levels like cohesion and …

Dynamic Reconfiguration of robot software component in real time distributed system using clustering techniques

AK Srivastava, S Kumar - Procedia Computer Science, 2018 - Elsevier
The requirement of the distributed system in optimum resource is creating the new scope of
business for the software industry in the area of component based technology with data …