02 / SOFTWARE

Evolution & maintenance

Tools engineered around real work

Evolve existing applications and firmware: reproduce faults, restore builds, port platforms and gradually replace critical components.

Platforms and tools follow your context. Some examples:

C++ / Qt / QML / Python / .NET / REST API / SQL

Software

Evolution & maintenance

Improve existing software through verifiable steps

  • Code analysis

    Problems · dependencies · constraintsApplication context

  • Defect diagnostics

    Logs · reproduction · measurementsCauses before changes

  • Refactoring

    Modules · interfaces · structureControlled evolution

  • Porting & integration

    Platforms · libraries · APIsCompatibility to verify

  • Regression testing

    Existing cases · expected resultsBehaviour comparison

  • Releases & maintenance

    Versions · documentation · handoverWork continuity

The technologies shown are examples.

Engineering support within your team, with shared tools and working methods.

Open graphic ↗

TECHNICAL SCOPE

Software maintenance, debugging and modernisation

Before changing technology, dependencies, build procedures and behaviour to preserve are reconstructed. Representative use cases and data make existing behaviour observable. Work is split into verifiable steps so fixes, intentional changes and regressions can be distinguished.

Activities and verification

  • Audit code, libraries, dependencies and integration boundaries.
  • Fix reproducible crashes, hangs, memory leaks and incompatibilities.
  • Port and update with regression checks and a plan for returning to the previous version.

Initial decisions and integration

I reconstruct how the existing version is built, distributed and used and which behaviours must remain compatible. I can work alongside maintainers, addressing modules and dependencies in steps with reviews and releases aligned to the client’s process.

A verification example

Before porting, representative cases, data and expected results from the reference version are collected. After changes, features, formats and integrations are compared, recording intentional changes and regressions. A route back to the previous version is prepared where possible.

Deliverables and acceptance criteria

Initial analysis, agreed changes, documented builds and version comparisons. Areas without source code or verification remain explicit in scope and risk assessment.

Where to start

Gather repositories, toolchains, deployed versions, dependencies and failing cases with expected results.

Is a complete rewrite required?

The starting point is what works, what can be verified and where changes are useful. Stabilisation, module replacement and gradual migration are options to compare.

Dedicated services and further reading

Describe your context ↗

THE NEXT STEP

A system ready
for its next step?

Let’s discuss your project