Overview of Software Development Process at ScienceSoft

At ScienceSoft, we tailor the software development process to your specific business needs to deliver high-quality software on time and within budget.

Agile

The Agile methodology allows us to release reliable software fast and introduce changes easily. The development process consists of 1-4 week iterations resulting in an evolved version of software shipped each time. After each iteration, we get real user feedback that drives informed decisions on the next development steps.

Note: Although the Agile approach is viable in many cases, we can also adopt Waterfall and other approaches depending on a customer’s objectives. Check out our overview of all possible software development life cycle (SDLC) models.

DevOps

With an established DevOps culture at ScienceSoft, we streamline software delivery and improve its quality with the following DevOps best practices:

  • Infrastructure as Code (IaC): automating the creation of new infrastructures and keeping them consistent with each other to ensure smooth software deployment.
  • Continuous Integration/Continuous Delivery (CI/CD): automating integration and deployment of code changes.
  • Automated testing: automating regression, performance, and other types of testing that are continuously carried out within the CI/CD pipeline.
  • Application performance monitoring: configuring application performance monitoring tools to detect post-release bugs quickly.
Cloud-native development

When building applications in the cloud, we take advantage of reduced software development and operation costs, easy scalability and access to advanced cloud services that enable implementation of cutting-edge techs (AI, IoT, data science, and more).

Modular architecture

We use modular architecture patterns, such as microservices, in combination with containers to develop applications as a suite of independent functional components that can be effortlessly ported to any environment. Such an approach ensures higher application reliability, better maintainability and expandability, as well as shorter development time.

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Business analysis

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Software development process and management

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Risk management

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Change management

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Project delivery

Time-efficiency

We plan our work in a way to deliver the specified scope on time and are capable of working with tight schedules.

Self-management by objectives

We minimize management efforts on the customer’s side while providing a high level of transparency over the development process and proactive risk management.

Clear documentation and knowledge base

Our customers have constant access to our task-tracking systems, such as Jira, and a knowledge base where we document all project-related work.

KPI-controlled projects

We regularly measure project health with KPIs to ensure the project’s progress and adjust the development process if needed.

Check a sample KPI set
A sample KPI set - ScienceSoft
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Effective collaboration approaches

We welcome real-time and individually paced communication models.

Check a sample collaboration model

ScienceSoft's approach to collaboration

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