A-Z Popular Blog Encyclopedia Search »
Coding
 Advertisements
Related Guides
Software Development

6 Types of Bit Rot

 , updated on
Bit rot is the reduction in quality of an instance of software that occurs over time. This can result in unstable, slow, inaccurate and inefficient software that is perceived as legacy. The following are common types of bit rot.

Data Rot

Physical errors in data that occur over time due to the error rate of devices. This can include the binary code of an instance of software and the data that the software uses.

Logical Errors

Logical errors in data due to software bugs, processing errors and other phenomena.

Robustness

Software components that handle errors poorly such that minor problems cause a large decline in software quality. As an extreme example, software that gives up loading 1 million customer records because it encounters a single field that is incorrectly formatted in a record.

Data Complexity

Data that grows in complexity with time due to the design of the software or the business processes it supports. This may expose bugs that don't appear in the software when data is simpler.

External Change

Change to factors such as hardware, APIs and environments.

Entropy

All isolated systems go from a state of order to a state of disorder over time in a process known as entropy.

Notes

Software that is regularly updated with new code, hardware and data isn't an isolated system that is necessarily subject to entropy.
Overview: Bit Rot
Type
Definition
The reduction in quality of an instance of software that occurs over time.
Also Known As
Software rot
Related Concepts

Coding

This is the complete list of articles we have written about coding.
Abstraction
Algorithms
API
Bootstrapping
Caching
Code Refactoring
Code Smell
Complexity Hiding
Components
Deep Magic
Edge Case
Event Processing
Forward Compatibility
Hardcoded
IT Artifact
IT Examples
Layers
Microservices
Negative Code
Precomputation
Proof Of Work
Pseudorandom
Reusability
Scalability
Software Design
More ...
If you enjoyed this page, please consider bookmarking Simplicable.
 

Coding

A list of coding considerations and techniques.

Negative Code

An overview of negative code.

Synchronous

The definition of synchronous with examples.

Division By Zero

A complete overview of division by zero and why it has no meaning.

Null

An overview of null with examples.

Null Pointer Exceptions

How to prevent, troubleshoot and handle null pointer exceptions.

Linux Processes

The basic types of linux process.

ls

A quick reference of useful ls commands.

Linux Commands

A list of unusually useful linux commands with brief explanations.

Runtime Error

The definition of runtime error with examples.

Data Quality

An overview of data quality criteria.

Data Corruption

An overview of data corruption.

Data Integrity

An overview of data integrity.

Data Rot

An overview of data rot.

Data Integrity vs Data Quality

The difference between data integrity and data quality.

Data Cleansing

A definition of data cleansing with business examples.

Data Artifact

The common types of data artifact.

Data Veracity

A definition of data veracity with examples.

Data Quality Examples

An overview of data quality with examples.

Legacy Data

An overview of legacy data with examples.
The most popular articles on Simplicable in the past day.

New Articles

Recent posts or updates on Simplicable.
Site Map