Software Development Management (SDLC) Tools, Platforms - Scrum Agile Development Management System, Process, Methods

Are you facing these customer service challenges too?

Chaotic demand process

Demand management lacks a standard process, and collection, disassembly and tracking all rely on manual efforts.

Rough R&D plan

The R&D plans are arbitrary and the tasks are roughly broken down, resulting in confusing versions and unclear goals.

Tools divide collaboration

R&D tools are fragmented, processes are disconnected, and collaboration is inefficient.

缺乏统一交付体系

缺乏统一的代码管理与自动化流水线，交付流程手动重复、出错频繁。

No process monitoring

The project process lacks real-time monitoring, and progress deviations are difficult to detect in a timely manner.

Management lacks data support

Task collaboration and personnel efficiency lack data support, making it difficult to optimize management and division of labor.

Full-link management from demand to task

: Covering the entire demand process
Support demand collection, review, disassembly and tracking, provide a standardized management system to ensure that requirements are clear, prioritized, and accurately delivered to the R&D team
Agile Iteration Planning
Supports agile methods such as Scrum and Kanban, efficiently formulates iteration plans, flexibly adjusts task priorities and split strategies, and ensures that the team has clear goals and is aligned.
Version management and progress tracking
Provides multi-version planning capabilities, real-time progress tracking, ensuring the orderly progress of iterations, avoiding version confusion, and improving delivery certainty

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Agile development closed-loop management

: Visual task collaboration
The task status, priority, and person in charge are fully transparently displayed. The Kanban board improves task flow efficiency, reduces communication costs, and optimizes cross-team collaboration.
Code management and automated deployment
Integrate code hosting, branch management, and CI/CD pipelines to simplify the code delivery process, accelerate iteration, and ensure code stability and traceability.
Automated testing and quality assurance
Supports automated testing methods such as unit testing and integration testing to reduce human intervention, improve test coverage, and ensure stable and reliable product quality

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Data-driven efficient R&D collaboration

: Real-time R&D project monitoring
Provides visual data such as burndown charts and project overviews to track progress and task completion rates in real time, helping managers quickly identify risks and optimize resource allocation.
R&D energy efficiency analysis
Supports data tracking such as working hour statistics and task completion rate analysis, providing data support for the team to optimize division of labor, improve output, and facilitate continuous improvement
Visual display of results
Through progress charts, version reports, etc., the team and stakeholders can intuitively understand the project status, improve collaboration transparency and decision-making efficiency

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01.

Task Dashboard

The task status and process progress are clearly visible, supporting drag-and-drop adjustments and collaborative allocation to efficiently promote team work.
02.

Project Plan

Provide Gantt chart view and key node settings to ensure the project is advanced on time and with quality
03.

Use Case Library

Centrally manage test cases, support reuse and version tracking, and improve test coverage and efficiency
04.

Code hosting

Centrally store code to ensure security and traceability, and facilitate team collaboration and version management
05.

Version Management

Accurately record code change history, easily backtrack and restore, and ensure an orderly and controllable development process
06.

Continuous Integration

Automated code building and testing to quickly identify problems and shorten development iteration cycles
07.

Continuous Delivery

Automatically deploy code to the production environment to ensure a stable and efficient product delivery experience
08.

Defect Management

Clearly record and track problems, intuitively display repair progress, and ensure stable product quality
09.

Test Report

Multi-dimensional data presents test results, quickly locates problem points, and helps optimize the development process
10.

Cluster Management

Efficiently configure and monitor resource pools, flexibly expand computing capabilities, and meet complex scenario requirements
11.

Resource Management

Dynamically allocate resources, optimize utilization, and ensure efficient operation of development, testing, and deployment environments
12.

Workbench

Aggregate task reminders and to-do items to create an efficient personal work center
13.

Project Overview

Covering the entire process from requirements, development to deployment, the project overview is updated in real time, and the progress of collaboration is clear and transparent.

Solution Advantages

Full-process support to improve R&D efficiency

Covering the entire R&D process from requirements management to code delivery, reducing information gaps, ensuring efficient team collaboration, and achieving stable iteration
Improve delivery quality and stability

Reduce human errors, improve code quality, and accelerate product iteration through automated testing, code management, and continuous delivery pipelines
Data-driven, optimized decision-making

Provides real-time progress monitoring, performance analysis, and visual reports to help managers accurately grasp project status, optimize resource allocation, and improve team performance
Standardize resource allocation and reduce collaboration costs

Efficient allocation of human and equipment resources can be achieved through visual dashboards and preset allocation rules.

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Efficiently manage software development and support iterative optimization throughout the entire process