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Related Experiment Video

Updated: May 7, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

A proposed defect tracking model for classifying the inserted defect reports to enhance software quality control.

Torky Sultan¹, Ayman E Khedr, Mostafa Sayed

¹Information Systems Department, Faculty of computers and Information, Helwan University Cairo , Egypt.

Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih

|September 17, 2013

Summary

This summary is machine-generated.

This study introduces a novel defect tracking model to classify software defects systematically. The proposed method enhances software quality by improving defect detection and management.

Keywords:

bug tracking systems bugs defects

Related Experiment Videos

Last Updated: May 7, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Area of Science:

Software Engineering
Information Systems

Background:

Defect tracking systems are crucial for storing historical defect data in software development.
Existing research focuses on enhancing defect tracking capabilities and bug classification methods.
Current approaches aim for clearer perception and applicable methods for bug detection.

Purpose of the Study:

To propose a new defect tracking model.
To classify defect reports in a step-by-step manner.
To enhance overall software quality through improved defect management.

Main Methods:

Development of a novel defect tracking model.
Implementation of a step-by-step classification approach for defect reports.
Integration of new technologies to enhance tracking capabilities.

Main Results:

A systematic method for classifying inserted defect reports.
Enhanced capabilities in defect tracking and analysis.
Foundation for improved software quality assurance.

Conclusions:

The proposed model offers a structured approach to defect classification.
Systematic defect classification leads to enhanced software quality.
The model provides a clear and applicable method for defect detection.