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Testing Management Platform implementation for a joint-stock commercial bank

Client Background

The bank lacked a quality and security management system, as well as unified oversight of testing activities. There was no standardized or process-driven management approach across various testing phases. The testing process was inefficient and difficult to track or monitor effectively. High staff turnover also led to insufficient accumulation of testing assets, resulting in a discontinuity of testing capabilities.

Business Challenges

01
Unstandardized Management
The bank did not have a quality and security management framework in place. Testing activities lacked unified management, and there was no consistent, process-based approach across different testing stages.
02
Low Efficiency
Testing processes were inefficient, with limited ability to track and monitor progress effectively.
03
Insufficient Testing Assets
Due to high staff turnover, testing assets were not adequately accumulated, making it difficult to sustain and evolve the bank’s testing capabilities.

Solution

Information-Driven, Process-Oriented Management Effective Requirement Management Requirement-Based Test Case Management Root Cause Analysis of Defects

Information-Driven, Process-Oriented Management

Leverage digital tools to establish a process-oriented management model that begins with requirements. Clear division of responsibilities ensures that all project members share a consistent understanding of system requirements.

Effective Requirement Management

Link requirements with projects, test cases, defects, and personnel to enable comprehensive monitoring and traceability. This facilitates efficient issue identification and risk mitigation.

Requirement-Based Test Case Management

Manage test cases based on individual requirements. When requirements change, the system can quickly analyse the scope of impact on testing, significantly reducing risks of testing delays or insufficient coverage.

Root Cause Analysis of Defects

Focus on identifying and analysing the common root causes behind defects. By addressing these shared root causes, the solution aims to proactively prevent defects from recurring.

Key Achievements

Standardized Requirements Management

Implemented a standardized approach to managing requirements, ensuring consistency and accuracy of requirement information. This minimized risks and communication costs caused by misalignment due to requirement changes, and enhanced overall quality control of software products.

Digital Quality Analysis Model

Built a digital quality analysis model that supports multi-dimensional, comprehensive data collection. Through deep mining and analysis of the data, it provides insights into quality trends, root cause analysis, and process tracking. A robust set of measurement indicators was established to evaluate development, testing, and operations processes.

Intelligent Quality Management

Leveraged AI, big data, and machine learning technologies to enable intelligent forecasting in quality management. Offline tasks were fully digitized, shifting the management approach from reactive to proactive and real-time. This significantly enhanced the intelligence and effectiveness of quality management.

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Testing Management Platform implementation for a joint-stock commercial bank

中电金信鲸Bot RPA是一款面向金融行业客户的机器人流程自动化的开发平台。