The software that runs your business was written years ago; every change is slow, every upgrade is a risk, and the rewrite quote frightened everyone. As a Dhaka-based company, we deliver legacy software modernization services that fix it one module at a time: audited, put under test, refactored or migrated to your cloud and switched over with a rollback, for international companies, at a fixed price per step. Our engineers and a quality assurance (QA) lead write tests around what your software does today before they change a line of it.
One exit at each step. No long-term commitment at any of them. We start with the one module that costs you the most today: the one every change touches, the one nobody dares deploy, the one on the framework that lost support. Its code, dependencies, data and risks are mapped, the smallest safe change is defined, and every route to it is costed in your own numbers.
You get a written verdict — tests first, a framework upgrade and refactor, a move to your cloud, a module replaced beside the old one, or leave it alone for now. If nothing justifies a change, you stop here and keep the audit.
Legacy software modernization services bring the custom software your business still depends on to a supported, testable state in six pieces of work: an audit that maps code, dependencies and risk, tests around today’s behaviour, refactoring and framework upgrades, migration to your cloud, an application programming interface (API) layer, and documentation your team keeps.
Every module, dependency, framework version, database and integration mapped, with a risk register and a module order that says what to touch first and what to leave alone.
Characterization tests written around each module before it changes, so parity can be proven after refactoring and a regression is caught by a test, not by a customer.
Unsupported language and framework versions brought to supported ones, dead code removed, dependencies replaced, structure cleaned, one module at a time and always behind the tests.
Software moved off ageing servers into your cloud accounts with backups, monitoring, access control and a deployment pipeline, re-platformed first and refactored where the audit says it pays.
A documented, versioned API in front of the old system, so your customer relationship management (CRM) system, shop, portal or reporting tool reads and writes its data without touching its code.
Schemas and data moved to a supported database with a verified cut-over and rollback, then documentation, a runbook, and optional monthly upkeep as the platform changes.
Legacy software modernization follows one of four paths, and the audit chooses by cost and risk. Rehost moves the system as it is; re-platform moves it onto managed cloud services; refactor changes the code, not what it does; replacing a module rebuilds one piece beside the old one. All four are application modernization inside our custom software development work.
The system moved to your cloud as it is, with backups and monitoring, when the code is sound but the server is not.
Moved onto managed databases, storage and runtimes, so upgrades and scaling stop being your team’s weekend work.
The code changed for supportability (framework, dependencies, structure) while every test proves the behaviour did not change.
One piece rebuilt beside the old system, traffic moved gradually, the old path retired once nobody uses it: the strangler pattern.
A legacy software modernization pilot switches one module over in five logged steps: scope signed, a safety net of tests, the refactor, a parity sign-off and the switch-over. The example is an invoicing module on an unsupported framework; every item traces to a test, a commit and a switch-over record, and yellow marks where a person signs.
Pilot log · invoicing module
The module at that step · its result
Scope signed
Agreed before any code changes.
Safety net
Tests pin down what the old code does today.
Refactor
The code changes; the behaviour must not.
Parity sign-off · a person signs
Both paths run the same invoices.
Switched over
The new module goes live beside the old path.
Click a step, or a number below, to switch the result
Each further module follows the same five steps, one at a time, while the old system keeps running.
Illustrative example. Click a step to see the module at that point. Yellow marks where a person signs; every item traces to a test, a commit and a switch-over record.
Legacy software modernization services run in five steps you can stop between, because modernization fails when it is sold as one big project: a free call, a two-week diagnostic that picks the first module, a six-to-eight-week pilot that puts that module live, production one module at a time, then Managed Ops. Every step ends with a written result.
Engineers who have upgraded old frameworks, a QA lead who owns the characterization tests and parity sign-off, and a project manager who runs the demos.
The first legacy modernization step depends on five facts; five questions show which fits. No tests means the safety net first; an unsupported framework, an upgrade and refactor; a server in a cupboard, your cloud first; weekly changes by hundreds of users, a replaced module; a supported, tested system, an audit ranking. A new front end is web application development.
1. How often does the code still change?
2. Where does it run today?
3. Do automated tests exist?
4. Is the language or framework still supported?
5. How many people depend on it daily?
Nothing can be changed safely until the current behaviour is pinned down: characterization tests are written around the first module before a line is refactored, so parity can be proven at every step.
A first estimate; the diagnostic confirms it.
How the verdict is decided
A legacy software modernization company is judged on whether the system is still running the day after switch-over, not on its slide deck. We deliver software modernization services under tests, module by module, priced in writing, with personal data in test copies handled under Article 28 of the General Data Protection Regulation (GDPR).
Outsourcing legacy software modernization is safe when tests, access and ownership are settled in writing, because the danger in old software is untested change. As a Bangladesh-based company, we work in your repositories and cloud, change nothing without green tests, use masked data outside production, sign a data processing agreement and leave at handover. Reviewed By Eicra.com team
Before you pay for legacy software modernization, you get evidence instead of promises: measured commitments, your own written risk register after the diagnostic, and a pilot that puts one module live before production is quoted. Client case studies with numbers are added here as clients give permission to name them.
For the diagnostic: code, dependencies and risks audited, and a written plan that picks the first module.
From the start of the pilot to the first module live in your cloud, proven against tests.
The old path stays beside the new module after switch-over, with 30 days of fixes.
Our legacy software modernization services are priced per outcome, not per hour, and each price is on the price cards at the top: a two-week diagnostic that audits the code, maps dependencies and risks and ends in a written plan, half credited to the pilot; a pilot that puts one module live with tests passing; then production, quoted after it.
Legacy software modernization services take the custom software your business still depends on (old frameworks, unsupported languages, a database nobody dares touch) and bring it to a supported, testable, cloud-ready state without stopping the business: a code audit, tests around the existing behaviour, refactoring or framework upgrades, migration to your cloud, an API layer, and documentation your team keeps.
A rewrite looks cleaner on a slide and fails more often in practice: the old system encodes years of business rules nobody wrote down, and a rewrite must rediscover them all before it is useful. Refactoring module by module keeps the system running and spends money only where it hurts. We rewrite a module only when the audit proves it.
The first module is live in eight to ten weeks: a two-week diagnostic that audits the code, writes tests around current behaviour and picks the first module, then a six-to-eight-week pilot that refactors or migrates it, proves parity against those tests and switches it over. Further modules follow one at a time, so the system improves while it keeps running.
We plan for it and cannot guarantee it. Each module is modernized beside the old one, switched over with a rollback path, and switched back if anything fails; cutovers happen in your quiet hours with your sign-off. That keeps planned downtime to minutes per module in most cases; the diagnostic’s risk register says where it cannot be avoided.