Defect Detection Strategies in Agile Teams: Improving Software Quality through Automation and Collaborative Workflows

Olasehinde Omolayo, Oluwatobi Akinboboye, David Frempong, Andikan Udofot Umana and Muritala Omeiza Umar

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 5, 519-555

Abstract: Defect detection in Agile software development environments is critical to maintaining high-quality deliverables and ensuring continuous improvement. This paper examines defect detection strategies that leverage automation and collaborative workflows within Agile teams to enhance software quality and delivery speed. It investigates how Quality Assurance (QA) practices integrated with Agile principles such as continuous integration (CI), test-driven development (TDD), and daily stand-ups create a proactive environment for identifying and resolving defects early in the development lifecycle. The study highlights the role of automated testing tools, including Selenium, JUnit, and Cypress, in executing rapid and repeatable test cycles. These tools support test automation frameworks that align with Agile sprints, enabling immediate feedback on code changes and reducing the risk of regression. Through behavior-driven development (BDD) and unit testing, defects are identified at both functional and code levels. The integration of QA professionals into Agile teams facilitates continuous collaboration between developers, testers, and product owners, promoting shared responsibility and fast defect triage. Collaborative defect management workflows such as pairing sessions, peer reviews, and sprint retrospectives foster knowledge sharing and collective accountability. The paper also examines defect tracking systems like Jira and Azure DevOps, which enable real-time issue tracking, transparent backlog management, and seamless communication across teams. Case studies from software development firms illustrate how Agile-aligned QA approaches improve defect detection rates, shorten resolution times, and boost overall software quality. Challenges in implementing automated QA strategies such as flaky tests, tool integration, and team skill gaps are also addressed, with mitigation strategies based on empirical evidence. Findings indicate that combining automation with Agile collaboration significantly strengthens defect resolution workflows and elevates product reliability. This research supports the adoption of integrated QA practices as a best-in-class approach to achieving continuous quality improvement in Agile software development.

Keywords: Defect detection; Agile teams; software quality; automation tools; collaborative workflows; test automation; quality assurance; continuous integration; behavior-driven development; sprint retrospectives; Jira; Selenium; TDD; defect resolution; QA strategies. (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT239080
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