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Data-Driven Insights for Software Development Process Improvement: A Defect Analysis

Authors:
Melike Takıl
Zeliha Dindaş

Keywords: software defect analysis; software quality; root cause analysis

Abstract:
This paper presents an analysis of defects found in a software project at a Capability Maturity Model Integration (CMMI) Level 5 public institution, required to manage and improve their processes using statistical and other quantitative techniques, develops software for other public organizations. A dataset of software defects collected via a task and issue management platform was analyzed, focusing on defect severity, defect type, detected activity and affected components. Defects were classified and a root cause analysis was conducted to identify defect-prone areas and underlying causes. The motivation of this work is providing a practical perspective on how public-sector software teams operating under governmental regulatory constraints can use defect data to fix defects and to support long-term process improvement and quality assurance. The results of this research are intended to contribute future projects of the organization and provide referenceable value to other governmental software units aiming to enhance their defect management capabilities.

Pages: 7 to 12

Copyright: Copyright (c) IARIA, 2025

Publication date: September 28, 2025

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-68558-296-8

Location: Lisbon, Portugal

Dates: from September 28, 2025 to October 2, 2025