Hewlett Packard Enterprise (HPE) > Case Studies > Accelerating Software Development for Large-Scale Real-Time Systems with Mitsubishi Electric and HPE Pointnext Services

Accelerating Software Development for Large-Scale Real-Time Systems with Mitsubishi Electric and HPE Pointnext Services

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 Accelerating Software Development for Large-Scale Real-Time Systems with Mitsubishi Electric and HPE Pointnext Services - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Virtual & Augmented Reality Software
  • Wearables - Augmented Reality Glasses, Headsets & Controllers
Applicable Industries
  • Automotive
  • Cement
Applicable Functions
  • Maintenance
  • Product Research & Development
Use Cases
  • Intelligent Packaging
  • Mixed Reality
Services
  • Software Design & Engineering Services
  • Testing & Certification
The Challenge
Mitsubishi Electric's software engineering department needed to cope with the increasingly sophisticated development of software solutions for large-scale real-time systems. The solutions were becoming larger and more complex, and their development lead time was getting shorter.
The Customer

Mitsubishi Electric’s Kamakura

About The Customer
Mitsubishi Electric is a leading manufacturer of electrical and electronic equipment. Their software engineering department develops software solutions for large-scale real-time systems and embedded systems, such as satellites and ground control centers. They needed to modernize and polish their software development processes to keep up with the increasing complexity and shorter development lead time.
The Solution
HPE Pointnext Services helped Mitsubishi Electric's software engineering department improve the speed and quality of software development by implementing a continuous integration and continuous software delivery pipeline. They used Red Hat OpenShift and operations support systems (OSS) to build software development and testing environments with excellent portability and reproducibility. They also automated testing processes and made use of container technologies.
Quantitative Benefit
  • The automation of testing processes reduced engineers' workloads and improved software development productivity. It also allowed non-expert engineers to create complex test environments, boosting the entire team's productivity. The number of tests increased, leading to improved software quality. The software engineering department can eventually deploy its CI/CD pipelines in other divisions, further enhancing productivity and efficiency.

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