Methodology
Over the years, we have developed and refined a software delivery methodology that has enabled us to successfully complete dozens of projects — ranging from relatively simple interfaces, microservices, or new features for existing applications, to large-scale modules and complex systems supporting critical business processes in major telecommunications enterprises. Clearly defined standards for analysis, design, coding, and application maintenance — combined with a set of ready-to-use components and proven solutions — allow us to ensure consistently high quality, predictable outcomes, and accurate cost and time estimations.
Continuous Development with Prototyping
This is our preferred approach to software development, in which the application evolves continuously, accompanied by the creation of working prototypes at each stage. Prototypes allow us to test ideas early, gather feedback, and iteratively refine the solution — accelerating delivery and minimizing the risk of design flaws.
This method promotes flexibility and close collaboration with end users throughout the project lifecycle.
Managing Complexity
Most business applications are inherently complex, supporting multiple aspects of business processes and dealing with numerous interdependent artifacts (e.g., customer, contract, invoice, service, product, address — and hundreds of others). Maintaining logical consistency and clear relationships between software components directly impacts maintainability, error prevention, and long-term scalability. We actively avoid the “early obsolescence” effect — a scenario in which adapting the software to evolving business needs becomes disproportionately costly and risky.
- Encapsulation of Business Logic
Business logic is divided into small, coherent, and clearly defined modules, each of which includes all the necessary components (such as tables, operations, and user forms). Collectively, these modules can represent high complexity, while remaining individually simple and understandable — a key trait of microservice-style architecture. - Namespace Structure
A core element of our methodology, namespaces organize all modules and their contents into a hierarchical structure (modules → submodules) with clearly defined naming conventions for all software elements. This promotes clarity, modularity, and long-term maintainability.
Data Model
At the heart of most enterprise applications lies the database — or more precisely, the logic and integrity of the data it stores. Data is what represents the business reality. It is the most valuable asset and the reason the application exists. That’s why we place special emphasis on data model design. While we use a well-known UML-based notation (historically rooted in Oracle® Case ERD), we have also developed additional, more detailed methods for describing data models — fully aligned with our namespace-driven architecture.
Application System Architecture
Depending on the nature of the project, specific application architectures may be required. However, for most standard business needs, we use a proven and effective architectural pattern composed of the following key components of a single application system:
User Interface (Front-End)
This is the visual layer directly used by the end user — typically a web application accessible via all major browsers, with an option to deliver a mobile version as well. An application system can include any number of user interfaces tailored to specific roles and user groups. We ensure secure authentication mechanisms (e.g., two-factor authentication) and a detailed authorization model that controls access to particular application functions.Middleware Layer
This layer includes servers responsible for delivering the application, retrieving data, and modifying it based on user actions — all after verifying access rights. Business logic can optionally be implemented here, defining how data is processed. In production environments, this layer typically operates as a server cluster — ensuring application continuity in the event of a failure, increasing performance, or both.Database Layer
The database server is the core of the back end — the deepest layer of the system — and stores all information according to the defined data model. Data insertion, modification, and retrieval are carried out through business logic implemented either in the middleware or directly in the database. The latter approach allows for advanced optimization methods and offers better performance control.Background Processes
While most operations in the system are triggered by user actions or integrations with other systems, there is also a class of tasks that must run automatically — based on time intervals rather than external events. Examples include automatic cancellation of unpaid orders after a certain period of customer inactivity, or daily report generation and distribution. These tasks, referred to as background processes, must be clearly defined and reliably executed. We achieve this by using appropriate monitoring tools and automated notifications.Integration
In enterprise environments, integration with other systems is a standard requirement. Our methodology — especially the part related to business logic encapsulation — makes this process natural and cost-effective. Furthermore, the application architecture itself supports a wide range of integration technologies — both in the middleware and in the database layer.
Design Patterns
Repeated implementation of a wide range of business requirements across various projects has allowed us to identify recurring patterns and define standardized ways to implement them. This drastically reduces both development time and cost — whether building a new system or extending an existing one — while ensuring high implementation quality.
Testing
There are many approaches to testing software. While they may differ in terms of tools and resources (including human resources), the ultimate goal is always the same: a reliable final product. Recently, we have seen a trend toward placing the entire responsibility for quality on the testing phase, driven by predefined test scenarios. Unfortunately, this can result in the system reporting errors simply because an edge case was not anticipated. In our methodology, we place strong emphasis on the quality of development itself and the code produced (e.g. through complexity management). Combined with our prototyping strategy (which serves as a form of lightweight, continuous testing during development) and automated unit testing, this results in high product quality — even before formal testing begins.
Deep Monitoring
Although monitoring may not traditionally be seen as part of the development methodology, in our practice, it is closely integrated. We use an approach we call deep monitoring, which enhances system effectiveness by preventing issues early and enabling effective diagnostics of hard-to-reproduce errors. Our monitoring tools rely on the ability — embedded in our methodology — to continuously collect statistics and execution details for individual functions and procedures that implement fragments of business logic. This happens during normal system usage, entirely transparently to the end user. The automated and continuous analysis of this data reveals anomalies even before users report them.
Project Documentation
An essential element of development process management is clear and accessible documentation. Despite taking different forms depending on stakeholders and context, it must always provide key knowledge necessary for effective execution. We use flexible tools such as Enterprise Architect and Confluence to manage large volumes of information in a structured and centralized way.
Agile/Scrum
We follow an agile project management approach — emphasizing flexibility, rapid adaptation to change, and close collaboration with the client. Instead of defining the entire project upfront, work is broken into short iterations (sprints), each ending with a working product increment. Scrum, one of the most popular Agile frameworks, is based on regular meetings, clearly defined team roles, and continuous process improvement. Our project practice allows for further optimization of management processes, tailored to the specific project context and stakeholder preferences.