How to improve the R&D efficiency of enterprises

8 R&D efficiency management platforms for major enterprises 1. PingCode

This is a popular one-stop R&D management platform in China in recent years. The product matrix is a tool for R&D efficiency management, which can meet the needs of enterprise R&D efficiency evaluation, R&D team efficiency evaluation, project delivery data analysis, personal efficiency index statistics and other scenarios.

The functions of PingCode in R&D efficiency management include: automatically collecting R&D life cycle data, enriching R&D efficiency measurement index system (such as delivery quality, delivery efficiency, delivery capacity, process coverage requirements, development, CI/CD, testing and release), customizing data analysis reports, and establishing efficiency measurement analysis models.

Its advantages are:

It can help enterprises to create a closed-loop MARI for efficiency measurement, analysis, review and improvement;

Provide an end-to-end delivery efficiency measurement system;

In addition, PingCode is a project management system covering the whole life cycle of R&D, which is widely used in requirements collection, requirements management, requirements priority, product roadmap, project management (Agile/Kanban/Waterfall), test management, defect tracking, project document management, efficiency measurement, target management and other fields. And integrated mainstream tools such as github, gitlab, jinkens, Enterprise Micro, Flybook, etc. In other words, we can associate the code under the requirements, associate the integration information and view the notice in Flybook.

At the same time, it supports new creation and localization of Kirin. And support private deployment, customization and saas purchase methods;

PingCode official website

2. Sima Yi

Domestic R&D efficiency platform. Although it is a single-point tool, it supports flexible combination of DevOps tools to build the most suitable R&D platform for you. Sima Yi provides a one-stop portal for R&D team to summarize and analyze R&D data. Measures include efficiency, quality and talents. From the perspective of executives, team leaders, project/product managers and developers, Sima Yi helped all members of the R&D team objectively and comprehensively understand the R&D process and achievements. ?

Official website:? /?

3. Cloud effect

Cloud efficiency is a one-stop BizDevOps platform in the era of cloud nativity, and it is the digital counterpart of Industry-University-Research, supporting various deployment forms of public cloud, private cloud and hybrid cloud. Similar to PingCode, a management tool was created specifically for performance measurement. The delivery process observation and R&D efficiency measurement and analysis capabilities provided provide a visual data base for process follow-up and efficiency improvement in project management and R&D management scenarios.

The original data of efficiency insight comes from the daily collaboration and R&D behavior of cloud users in other applications such as project collaboration Projex, code management Codeup, etc., which can intuitively reflect the overall R&D progress of the enterprise and maximize the advantages of the team. ?

Official website:? /Products/Xiao Yun?

4. Jinshan Cloud

Its introduction in official website is: One-stop R&D efficiency platform, providing the whole process tool chain from product planning to deployment, integrating years of Internet R&D practice, and providing complete consulting and training services. Through Devops transformation, your enterprise can easily realize the rapid improvement of R&D efficiency and accelerate business success. ?

Software advantages:

Improve R&D efficiency: One-stop Devops tool chain integrates many years of rich practice in the field of scientific research efficiency, bid farewell to patchwork inefficient tools, and greatly improve the efficiency of collaborative R&D.

Higher resource utilization: Based on container technology, the underlying computing resources are created, used and released on demand, which improves the resource utilization efficiency and greatly reduces the IT cost.

Reduce the operation and maintenance cost: shield the underlying computing resources, so that you and the team don't have to pay attention to the operation and maintenance of the underlying computing resources, and reduce the operation and maintenance cost. Faster response: Strong continuous delivery capability ensures that you and your team can quickly respond to changes in market demand and deliver value. Flexible deployment and dynamic scalability enable your service to respond to changes in business traffic in a few seconds.

Official website:? /nv/solution/EDEP.html、

In addition, enterprises may also use open source or self-developed performance tool platforms. When building a platform for self-developed tools, not all tools need to be self-developed. It is important to consider whether the existing tools can meet the specific needs of enterprises for R&D tools. When choosing tools, they can generally be extended to other commercial tools. Of course, the enterprise that wants to complete the whole life cycle tool platform construction is the cloud service provider. The focus of building a self-developed tool platform for general enterprises is the integration of functions, rather than all sub-fields of R&D tools need to be developed from scratch.

5. git

Git is one of the most popular DevOps tools, which is widely used in the whole software industry. It is a distributed SCM (source code control) tool, which is deeply loved by remote teams and open source contributors. Git allows you to track the progress of development work. You can save different versions of the source code and return to the previous version if necessary. Before going online, you can create an independent branch and merge new features into the branch.

6. Jenkins

Jenkins is the preferred DevOps automation tool for many software development teams. It is an open source CI/CD server that can be used at different stages of the automated delivery process. The main reason why Jenkins is popular is its huge plug-in ecosystem. At present, it provides more than 1000 plug-ins and integrates almost all DevOps tools, from Docker to Puppet.

7.bamboo

Bamboo is Atlassian's CI/CD server solution, which has many functions similar to Jenkins. Both are popular DevOps tools that can be used at different stages of the automated delivery process. Jenkins, however, is open source, but Bamboo must charge on demand.

8. dockers

Docker is the number one container in 20 18. It is also considered as one of the most important DevOps tools. Docker is very popular in IT technology circle, mainly because it makes distributed development possible and realizes the automation of application deployment. It makes the application deployment process more portable and secure. Docke applications are also independent of operating systems and platforms. You can use the Docker container instead of a virtual machine like VirtualBox.