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QA Platform
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Industry Solutions
In today’s innovation-driven digital economy, if IT is the core productivity engine, then quality management is the guiding principle and foundational pillar of modern software engineering.Building a Quality and Safety Management Platform ensures the effective implementation of quality standards. It enables deep analysis of quality data, empowering R&D, QA, and DevOps teams to track process information in real time—significantly improving efficiency and elevating software delivery maturity.
The Quality and Safety Management Platform, developed by GienTech based on the middle platform concept, integrates big data and AI technologies to serve the testing domain. Its core lies in the efficient reuse of shared services and resources. By establishing meaningful connections among various testing items, the platform unlocks the full value of data—making testing activities manageable, reusable, and traceable. This ensures that the process is controllable and the outcomes are trustworthy.
Supports multiple front-end business systems and spans the entire product R&D lifecycle. Offers intelligent and precision-driven testing services with unified data collection, processing, and storage across the workflow.
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Analyze Test Coverage and Provide Metric Data
The platform enables standardized quality data management across the full software lifecycle. It supports comprehensive planning of quality monitoring and measurement indicators and establishes a unified measurement view. Key metrics provided for platform projects include defect resolution timeliness, test issue fix efficiency, and daily code coverage rates. It also tracks the flow of business data to ensure quality while mitigating risks.
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Accurate Issue Identification and Efficient Task Allocation
By monitoring the overall performance of projects, the platform delivers a wide range of data and analytical insights tailored to different roles such as developers, testers, operations, and quality personnel. It enables traceability of error messages to accurately pinpoint issues, assign responsibilities, and efficiently allocate and utilize testing resources with high quality and productivity.
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Identify R&D Risks and Enhance Product Quality
The platform collects data from various stages, including review defects during the comprehensive review phase, code review defects during development, testing defects, and production defects. It then performs intelligent analysis to identify quality risks and areas for improvement. This enables effective identification of R&D process risks and helps improve overall development quality.
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Application Scenarios
The platform offers standardized application scenarios and, through its SaaS capabilities, supports multi-domain use cases including management, production, and quality control with quantifiable processes.
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Business Architecture
Business modules are designed with high cohesion and low coupling, implemented in a componentized manner. Each module has its own standardized input and output, and can operate as a self-contained closed loop.
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Technical Architecture
Built on a microservices architecture, the platform assembles services to meet the needs of different business domains. It enables both internal integration and external openness, forming a horizontally and vertically scalable middle platform.
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Localization for Domestic Systems
The Quality and Safety Management Platform is pre-adapted to the Chinese domestic ecosystem upon delivery, ensuring seamless integration with domestic technology stack.
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Quality and Safety Management Platform
A platform designed for the testing domain, built upon advanced technologies such as big data and artificial intelligence.
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Intelligent Testing Platform
Centralizes and standardizes the management of various testing projects, enabling both business and QA teams to conduct testing activities on a unified platform. This enhances responsiveness to front-end business changes and supports rapid business innovation.
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ATQ Testing Quality Management Platform
A configurable, universal quality management platform tailored for software development lifecycle management, adaptable across industries.
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Automated Testing Platform
Designed to address resource and quality risks arising from business expansion and model transformation.
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