Methodology

The methodology we have developed has allowed us to successfully complete dozens of projects—ranging from smaller assignments (microservices, new features) to large-scale systems for the telecommunications industry.

Standards are our key to success. We precisely define every stage: analysis, design, implementation, and maintenance. Thanks to this approach, combined with the use of ready-made solutions (like the Partonic framework), we eliminate chaos. This ensures the quality of the delivered software and guarantees precision in schedule and budget planning.

Continuous Development and Prototyping

We integrate continuous software development with early prototyping. Instead of relying solely on theoretical documentation, we verify assumptions at every stage of the project using working functional components (forms, tabs, reports, etc.).

Prototypes allow for the rapid testing of ideas and the gathering of feedback from end-users. This drastically reduces time-to-market and eliminates the risk of design flaws at a stage when fixing them is still quick and cost-effective.

Managing Complexity

Most business applications are complex software systems handling numerous elements of business processes involving many interdependent artifacts (such as clients, contracts, invoices, services, products, addresses, and hundreds more).

Maintaining logical consistency and clear dependencies between software components directly impacts maintainability, error prevention, and seamless long-term development. We eliminate technical debt and the effects of software aging—issues that otherwise lead to situations where adapting to changing business conditions generates disproportionately high costs and risks.

  • Business logic encapsulation – this concept refers to decomposing the entire implemented business logic into small, cohesive, and easily definable modules containing various necessary software elements (tables, operations, forms, etc.). Collectively, these modules can handle high complexity while maintaining their individual simplicity and clarity.
  • Namespaces – a critical component of the methodology, this organizes the modules mentioned above into a hierarchical structure (modules → submodules), establishing strict conventions for the unique naming of every software component.

Data Model

Data is an application’s most valuable asset — it describes the reality of the business. That is why the quality of the data model is our absolute priority.

In our design process, we utilize the UML standard, extended by our own proprietary, detailed descriptive methodologies. This allows us to create a structure that is not only technically sound but also perfectly aligned with the business logic and system architecture.

Application System Architecture

While various challenges may require specific application architectures, for most standard requirements, we employ a proven and effective approach consisting of the following elements of a single application system:

  • User Interface (Front-end) – The visual layer directly used by the end-user. This is typically a web application accessible via all major browsers, with the option of a mobile app version. The system can support any number of user interfaces dedicated to specific user groups and roles. Additionally, we ensure secure authentication (e.g., two-factor) and a granular authorization system controlling access to specific application functionalities.
  • Middleware Layer – This layer contains servers responsible for hosting the application, delivering data, and modifying it based on user requests, following prior verification of permissions. Business logic defining data processing rules can optionally be implemented here. In a production environment, this often involves multiple application servers operating within a cluster, which ensures business continuity in the event of a server failure, increases performance, or fulfills both functions simultaneously.
  • Database – The database server constitutes a key element of the back-end, the system’s deepest layer. It stores all accumulated information according to the defined data model. Data insertion, retrieval, and modification occur by invoking procedures and functions that execute business logic, implemented either in the middleware layer or directly within the database itself. The latter option enables the use of advanced optimization methods and ensures easy control over system performance.
  • Background Processes – The vast majority of processes within the application system are triggered via the user interface or interaction with other systems. However, there is a group of tasks that must be executed automatically at specific time intervals rather than resulting from direct external activity. Examples include the automatic cancellation of unpaid orders after a specific period of customer inactivity or the generation and distribution of daily reports. Such activities are called background processes; they must be clearly defined and executed reliably and transparently, which we achieve through appropriate monitoring tools and automated notifications.
  • Integration – In real-world business environments, integration with other systems is a standard requirement. Our methodology, particularly regarding business logic encapsulation, makes this process natural and cost-effective. The application architecture itself also contributes to this by supporting a wide spectrum of integration technologies, both in the middleware layer and on the database side.

Design Patterns

The repeated implementation of complex requirements has enabled us to establish a library of proven design patterns. Instead of solving recurring problems from scratch, we apply predefined implementation standards.

This approach minimizes the risk of errors and significantly optimizes the development process. Consequently, building new systems and extending existing ones becomes faster and more cost-effective, while simultaneously ensuring code consistency and stability.

Testing

While there are many testing strategies, they all share a single goal: the reliability of the final product. Contrary to market trends, we do not shift the responsibility for quality solely to the final testing phase. Relying exclusively on predefined scenarios often leads to errors when a user performs an action not anticipated in the documentation.

In our methodology, quality is built from the ground up. We place immense emphasis on clean code and complexity management right from the development stage. We combine this with continuous prototyping (for instant verification) and automated unit testing.

The result? We deliver a highly stable product even before it reaches formal acceptance testing.

Deep Monitoring

We view monitoring not as an external service, but as an integral component of the software architecture. We employ our proprietary “Deep Monitoring” method, which enables effective error diagnostics (even for hard-to-reproduce issues) and continuous performance optimization.

Our framework allows for the precise tracing of calls to specific functions and procedures executing business logic. This occurs in the background during normal application operation, remaining completely transparent to users.

The result? Automated data analysis allows us to detect anomalies and respond to them before they are reported as problems by end-users.

Project Documentation

A crucial element of the development process is clear project documentation. Regardless of its form—which may vary depending on the stakeholders and the specific nature of the issue — it must contain the essential knowledge required for effective execution. We utilize industry standards, including Enterprise Architect and Confluence, which significantly facilitate the structured and centralized management of large volumes of diverse information.

Agile/Scrum

This agile approach to project management emphasizes flexibility, rapid adaptation to change, and close collaboration with the client. Instead of planning the entire project upfront, we divide the work into short stages (sprints), delivering a working product increment after each one.

We base our work on the Scrum methodology, which ensures regularity and transparency of progress. However, our approach remains highly flexible — we are always open to optimizing the management process depending on the project’s scale and the Client’s preferences.