Application development

Our Capabilities


To master the complexities of software engineering, our development teams use the best practices available today:

Develop iteratively to effectively mitigate risks

An iterative approach lets Project Management mitigate risks earlier, because many risks are only addressed and discovered during integration. As the early iteration is unrolled, the team goes through all disciplines, exercising many aspects of the project: tools, off-the-shelf software, people skills, and so on. It is at this stage that perceived risks may prove not to be risks, and new, unsuspected risks will show up.

All projects have a set of risks involved. The earlier in the life-cycle you can verify that you have avoided a risk, the more accurate you can make your plans. Many risks are not even discovered until you have attempted to integrate the system. You will never be able to predict all risks regardless of how experienced the development team is.

An iterative approach is generally superior to a linear or waterfall approach for many different reasons:

  • Risks are mitigated earlier, because elements are integrated progressively.
  • Changing requirements and tactics are accommodated.
  • Improving and refining the product is facilitated, resulting in a more robust product.
  • Organizations can learn from this approach and improve their process.
  • Reusability is increased.

Manage requirements


A fact of life in software projects is that requirements will change along the way. Our project teams use methods that allow them to effectively facilitate and communicate changing requirements to the project’s stakeholders and maintain agreement with the client. The assessment performed by the team explores considerations such as whether requirements are perceived to be under control, correct, of good quality, and testable.

Use component architectures


The goal of an architecture-focused process is to produce, in early phases, an architecture that is resilient in the face of changing requirements. The best way to achieve this goal is the use of component architectures, such as those provided by Axional Suite.

Model visually


Visual modeling involves a high level of abstraction and makes it easier to communicate specification, architecture, and design. Visual modeling techniques improve collaboration between business analysts, system analysts, architects and developers to deliver higher-quality applications, faster. Using these techniques, the project team can provide business-centric models that improve comprehension and offer a more accurate representation of business complexity.

Continuously verify quality


Verifying and managing quality throughout the project life-cycle is essential to achieving the right objectives at the right time. A core practice of quality assurance is examining and analyzing the entire process of how a product is conceived, defined, built, and delivered to the customer. The methodology used by our teams makes software progress and quality tangible to the project’s stakeholders. The techniques provide a definition of what quality means within the development organization; how well testing activities are integrated with the rest of the development activities; and whether testers and analysts are collaborating to ensure requirements are testable.

Manage change


The management techniques used by our teams include management of change requests, work-spaces, parallel development, and integration, as well as builds. At the earlier project stages, Project Management puts well understood change request procedures in place, as well as good control over the assets of a project —their status as well as relationships. Common guidelines for change and configuration management for the entire organization (including the definition of change request procedures) are also defined.

Platform expertise


Our cross-platform expertise enables us to develop applications that span multiple platforms. Our software engineers have a strong technical competence and expertise in the following technologies and skill sets:

  • Data Bases such as Informix, DB2, Oracle, PostgreSQL, SQL Server
  • Spatial extensions on Informix, DB2, Oracle, PostGis
  • Development: Open Source, J2EE, Android™
  • Operating Systems: Linux, AS/400, Windows, Mac-OS, Android™.
  • Protocols: XML, SOAP