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Software compatibility refers to the ability of a software product to operate across different hardware platforms, operating systems, runtimes, and data formats without requiring source changes. It encompasses binary compatibility (the compiled program runs on a given platform), API compatibility (existing interfaces continue to behave as before), and data compatibility (files and data encoded in prior formats remain readable or transferable). Backward compatibility describes support for older versions, while forward compatibility aims to cope with future formats.

Key dimensions include platform compatibility (Windows, macOS, Linux, mobile OS), architecture compatibility (x86, ARM), and runtime

Approaches to maintain compatibility include versioning policies, semantic versioning, deprecation notices, and long-term support commitments. Compatibility

Maintaining compatibility involves trade-offs: supporting old interfaces can constrain security and innovation, while breaking changes may

compatibility
(Java
Virtual
Machine,
.NET
CLR).
Data
and
format
compatibility
covers
file
types,
serialization
schemas,
and
database
schemas.
Interoperability
adds
the
ability
of
separate
systems
to
work
together
through
agreed
interfaces.
layers
and
shims
provide
legacy
behavior
without
altering
newer
code.
Containerization,
virtualization,
and
cross-platform
frameworks
help
isolate
or
bridge
environmental
differences.
Thorough
compatibility
testing,
including
regression
suites,
real-world
data,
and
platform
coverage,
is
essential.
alienate
users.
Organizations
balance
risk
and
user
impact
by
communicating
timelines,
providing
migration
guides,
and
offering
transitional
periods
with
compatibility
modes.
In
software
ecosystems,
strong
compatibility
practices
reduce
fragmentation,
enable
plug-in
and
extension
ecosystems,
and
improve
reliability
for
developers
and
end
users.