How Postal Savings Bank Strengthened Software Testing through TMMi5 and AI‑Driven Innovation
The bank leveraged TMMi 5 certification, an AI‑powered testing platform, and a matrix‑style organization to modernize test management, introduce comprehensive metrics, and boost user‑experience scores, demonstrating how advanced testing practices can be systematically adopted in a large financial institution.
Background and Challenge
Widespread automation and AI testing have delivered significant efficiency gains, yet they also expose shortcomings in traditional test‑management approaches, demanding changes in mindset, processes, and resource allocation.
TMMi 5 Certification as a Catalyst
Postal Savings Bank recently achieved TMMi 5 certification, merging an international standard with cutting‑edge testing technologies. The certification prompted a redefinition of testing’s role within the bank’s IT landscape and a comprehensive validation of recent testing achievements.
Test‑Management Innovation
1. High‑Efficiency Test Organization – The bank adopted a “one ruler, one board, one net” matrix model that coordinates central and regional test centers, enabling cross‑center task collaboration and close partnership with business and development teams to improve resource utilization.
2. Bank‑Specific Test‑Management System – By blending agile testing concepts with TMMi standards, a dual‑mode framework supports both stable and agile projects. Continuous testing practices, left‑right shift of testing activities, and an end‑to‑end toolchain compress delivery cycles while maintaining quality.
Comprehensive Test‑Metric System
The bank built a goal‑driven, user‑oriented metric suite covering efficiency, cost optimization, and risk control. A multi‑level indicator library spans implementation, project management, test assurance, and system support, using quantitative models for effectiveness, project health, and capability. Metrics such as test‑implementation quality, efficiency, deviation, compliance, environment stability, and support capability enable fine‑grained management decisions.
Process Innovation
Testing is tightly coupled with version control; each stage includes version‑gate checkpoints, creating a production‑driven verification mechanism that guarantees full traceability (“what is released is what is tested”). A coordinated main‑support system workflow validates end‑to‑end business scenarios, ensuring comprehensive coverage.
Risk management is embedded via a product‑risk repository and a full lifecycle risk‑identification, assessment, and response process. Two‑way traceability between risk assets and test cases enables proactive defect prevention.
Tool Innovation – The “Star” Platform
Leveraging AI expertise, the bank built the proprietary “Star” intelligent testing platform. Powered by large‑model capabilities, the platform automatically analyzes requirements, plans tests, generates scripts, interprets reports, and predicts product risks. It integrates chaos testing, precise testing, big‑data testing, and mobile‑cloud testing, driving standardization, automation, and intelligence across the testing lifecycle.
Key performance indicators—test case execution productivity, pre‑production defect detection rate, and defect‑fix rate—have shown a steady year‑over‑year increase, despite a stable test‑team size, demonstrating the platform’s efficiency gains.
User‑Experience Improvements
The bank’s mobile and corporate banking applications ranked first in the 2023 and 2024 CFCA user‑experience evaluations, excelling in login, transfer, and authorization workflows. A three‑layer experience assessment (diverse evaluation mechanisms, digital monitoring, cross‑departmental actions) and a bank‑specific UX metric system underpin these results.
Conclusion and Outlook
TMMi 5 certification marks both a summary of past testing work and a new starting point. Future plans include continued standard‑building, broader tool rollout, further cycle reduction, and deeper integration of testing capabilities with business value. The bank aims to cultivate hybrid talent and explore autonomous, AI‑driven testing to advance precision, coverage, and overall software quality.
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