What Is Software Maintenance? Types, Process, Benefits & Best Practices

Software does not stop changing when development ends.

After an application goes live, bugs can appear, security vulnerabilities can be discovered, third-party APIs can change, operating systems can receive updates, databases can grow, user expectations can evolve, and business requirements can shift.

That is why software maintenance is an ongoing part of running a reliable digital product.

Software maintenance is the process of modifying, updating, and improving software after deployment to correct faults, adapt to environmental changes, improve performance or functionality, and reduce the risk of future problems.

It can include everything from fixing a broken checkout and updating an API integration to refactoring outdated code or applying an urgent security patch.

This aligns with IEEE Computer Society’s guidance on software maintenance, which describes maintenance as modifying and updating deployed software to correct faults, improve its attributes, and adapt it to changing environments.

This guide explains what software maintenance means, its four main types, how the maintenance process works, common maintenance activities and costs, best practices, useful metrics, and how to decide whether an application should be maintained, modernized, or replaced.

What Is Software Maintenance?

Software maintenance is the process of modifying, supporting, and improving software after deployment to keep it reliable, secure, compatible, and useful. It includes fixing defects, adapting applications to new technologies, improving existing functionality, and preventing future problems.

Software maintenance is commonly divided into four categories: corrective, adaptive, perfective, and preventive maintenance. Depending on the application, maintenance may involve bug fixes, security patches, dependency updates, performance optimization, refactoring, cloud migration, API updates, feature improvements, and ongoing monitoring.

Maintenance type	Purpose	Example
Corrective	Fix existing defects	Resolving a checkout crash
Adaptive	Respond to external changes	Updating an app for a new OS/API
Perfective	Improve functionality/performance	Improving search speed
Preventive	Prevent future problems	Refactoring legacy code

What Does Software Maintenance Include?

Common software maintenance activities include:

• fixing bugs and defects
• applying security patches
• updating frameworks
• updating libraries and dependencies
• maintaining APIs and integrations
• optimizing database queries
• improving application speed
• correcting compatibility problems
• monitoring application performance
• improving scalability
• refactoring source code
• improving test coverage
• removing obsolete code
• improving error handling
• maintaining documentation
• improving existing features
• updating infrastructure configurations
• reducing technical debt

Some maintenance changes may require only a small code update. Others may involve significant engineering, testing, infrastructure, and deployment work.

Why Is Software Maintenance Important?

Software exists inside a constantly changing technical environment.

An application can remain completely unchanged while the operating system, browser, API, database, framework, security landscape, or business process around it changes.

Regular maintenance helps software remain useful despite those changes.

1. It Keeps Software Reliable

Software reliability affects both users and business operations.

Without regular maintenance, organizations may experience:

• recurring application crashes
• failed transactions
• broken workflows
• incorrect outputs
• increasing downtime
• integration failures

Maintenance helps teams identify, investigate, and resolve these problems before they create larger operational issues.

2. It Helps Protect Software From Security Risks

Security is one of the strongest reasons to maintain software.

Applications frequently rely on third-party:

• frameworks
• libraries
• operating systems
• APIs
• runtime environments
• databases
• infrastructure components

These components can later develop known vulnerabilities.

OWASP recommends keeping software components on supported versions, monitoring dependencies, and maintaining an update process because outdated components can expose applications to known security vulnerabilities.

NIST similarly treats patch management as preventive technology maintenance and recommends systematic processes for responding to software vulnerabilities.

For applications that require broader protection beyond routine patching, application security and cybersecurity monitoring can help identify vulnerabilities, monitor threats, and strengthen the surrounding infrastructure.

An application that was secure at launch is not automatically secure forever.

3. It Maintains Compatibility

Modern applications rarely operate independently.

They interact with other technologies such as:

• operating systems
• browsers
• cloud platforms
• payment gateways
• CRMs
• databases
• authentication systems
• third-party APIs
• mobile platforms

When one of these changes, connected software may also need to change.

For example, if a payment provider retires an API version used by an e-commerce application, the application’s payment integration must be updated even if its own code was previously working correctly.

4. It Improves Application Performance

Software performance may deteriorate as an application grows.

An application designed for 1,000 users can behave differently when it has 100,000 users and a much larger database.

Maintenance teams may improve performance by:

• optimizing queries
• improving caching
• reducing unnecessary database requests
• reducing unnecessary API calls
• optimizing server configurations
• restructuring inefficient code
• managing memory usage
• improving resource allocation

Maintenance is therefore not only about keeping software running. It can also help keep it efficient.

5. It Keeps Software Aligned With Business Needs

Businesses change.

A company may:

• introduce a new product
• enter another market
• change internal workflows
• implement new compliance requirements
• integrate a new platform
• introduce new customer experiences

Existing software may need modifications to continue supporting those goals.

6. It Reduces Technical Debt

Technical debt is the additional future development effort created by shortcuts, outdated architecture, temporary fixes, poor documentation, or other decisions that make software harder to change.

Examples include:

• duplicated code
• outdated libraries
• tightly coupled modules
• insufficient automated testing
• undocumented systems
• temporary fixes that became permanent
• obsolete architecture

Technical debt is not always immediately visible to users.

Its impact often appears later when simple changes begin taking longer, developers are afraid to modify certain modules, or each new release creates unexpected problems.

Preventive software maintenance can help reduce this risk.

7. It Extends Software’s Useful Life

Replacing a business-critical application can require significant time and investment.

Regular maintenance may extend the useful life of software by keeping it:

• secure
• reliable
• compatible
• maintainable
• performant
• aligned with business needs

Eventually, however, some applications become too outdated to justify continued maintenance. We discuss that decision later in this guide.

What Are the 4 Types of Software Maintenance?

The four main types of software maintenance are corrective, adaptive, perfective, and preventive maintenance.

• Corrective maintenance fixes existing defects.
• Adaptive maintenance adjusts software to environmental changes.
• Perfective maintenance improves functionality, performance, or usability.
• Preventive maintenance reduces the likelihood of future problems.

The IEEE Computer Society’s software maintenance guidance describes corrective, adaptive, perfective, and preventive maintenance as common types of software maintenance. Formal software-maintenance guidance is also provided by ISO/IEC/IEEE 14764:2022, which defines maintenance processes and establishes terminology for different categories of software maintenance.

Let’s examine each one.

1. Corrective Software Maintenance

Corrective maintenance focuses on fixing errors, bugs, and defects discovered after the software has been deployed.

These problems may affect functionality, performance, security, or the overall user experience.

Common corrective maintenance activities include:

• Fixing application crashes
• Resolving broken features
• Correcting incorrect calculations or outputs
• Repairing failed integrations
• Fixing database or API errors
• Addressing software defects reported by users

Example:
Suppose users of an eCommerce application cannot complete checkout because of a payment-processing error. Developers investigate the issue, identify the faulty integration, fix the code, test the payment flow, and deploy the correction. This is corrective software maintenance.

2. Adaptive Software Maintenance

Adaptive maintenance involves modifying software so that it continues to work properly when its external environment changes.

Software may need adaptation because of changes in operating systems, third-party APIs, cloud infrastructure, browsers, regulations, databases, or other technologies.

Common adaptive maintenance activities include:

• Updating software for a new operating system
• Adjusting applications after third-party API changes
• Migrating to newer databases or cloud platforms
• Updating applications for browser changes
• Supporting new devices or screen sizes
• Modifying systems to meet new regulatory requirements

Example:
If a mobile application depends on an external payment API and the provider releases a new API version, developers may need to update the application’s integration to keep payments working correctly. This is adaptive maintenance.

3. Perfective Software Maintenance

Perfective maintenance focuses on improving software based on changing user needs, business requirements, performance expectations, or opportunities to make the system more useful.

Unlike corrective maintenance, perfective maintenance does not necessarily fix something that is broken. Instead, it improves the existing application.

Common perfective maintenance activities include:

• Improving application performance
• Enhancing the user interface
• Adding or improving existing features
• Optimizing database queries
• Improving application usability
• Reducing page or application load times
• Enhancing reporting or analytics capabilities

Example:
Suppose users complain that a reporting dashboard takes too long to load. Developers optimize database queries, caching, and backend processing so reports appear much faster. This is an example of perfective maintenance.

4. Preventive Software Maintenance

Preventive maintenance aims to reduce the likelihood of future software problems by improving the codebase before serious issues occur.

It helps organizations reduce technical debt, improve maintainability, strengthen security, and make future software changes easier.

Common preventive maintenance activities include:

• Refactoring complex or outdated code
• Updating dependencies and libraries
• Improving automated test coverage
• Removing unused code
• Improving software documentation
• Resolving potential security vulnerabilities
• Improving system architecture
• Reducing technical debt

Example:
A development team notices that an important application module depends on outdated libraries that will soon stop receiving security updates. The team replaces the dependencies and refactors the module before any security or compatibility problem occurs. This is preventive maintenance.

Types of Software Maintenance at a Glance

Type	Primary Purpose	Typical Example
Corrective	Fix existing software problems	Repairing a checkout error
Adaptive	Adjust software to external changes	Updating an integration after an API change
Perfective	Improve performance or functionality	Making a dashboard faster
Preventive	Prevent future problems.	Refactoring legacy code and updating dependencies

In practice, a single software maintenance project may involve more than one type of maintenance. For example, fixing a recurring production bug may require corrective maintenance to solve the immediate problem and preventive maintenance to refactor the underlying code so the issue does not happen again.

Corrective vs. Preventive Maintenance

The easiest way to understand the difference is timing.

Corrective Maintenance	Preventive Maintenance
A problem already exists	The problem has not necessarily occurred
Reactive	Proactive
Restores expected behavior	Reduces future risk
Example: fix database crash	Example: refactor fragile database logic

Corrective maintenance asks:
“How do we fix this failure?”

Preventive maintenance asks:
“What could become a failure later, and how do we reduce that risk now?”

A healthy maintenance strategy requires both.

What Causes Software to Require Maintenance?

A well-built application can still require significant maintenance.

That does not necessarily mean it was developed poorly.

Several factors naturally create maintenance requirements.

Bugs and Defects

Real users interact with software in combinations that testing may not fully reproduce.

Edge cases often appear after deployment.

Security Vulnerabilities

New vulnerabilities are continuously discovered in software components.

Applications therefore require ongoing security reviews and patching.

User Feedback

Customers can reveal usability problems or missing functionality that was not apparent during initial development.

Changing Business Requirements

Businesses evolve, and their software must often evolve with them.

Platform Changes

Operating systems, browsers, databases, mobile platforms, and cloud environments continue changing.

Third-Party API Changes

Applications relying on external services must adapt when those services modify or discontinue integrations.

Outdated Dependencies

Frameworks and libraries eventually:

• receive major updates
• lose support
• become incompatible
• develop vulnerabilities

Performance and Scalability Requirements

Growth in:

• users
• transactions
• stored data
• integrations
• background processing

can expose architecture or performance limitations.

Regulatory Changes

New privacy, accessibility, financial, healthcare, security, or industry requirements may necessitate software changes.

Technical Debt

Accumulated technical debt eventually makes software:

• harder to understand
• harder to test
• harder to modify
• slower to release
• more expensive to maintain

How Does the Software Maintenance Process Work?

The software maintenance process generally involves identifying a change, analyzing its impact, planning and implementing the modification, testing it, deploying it, monitoring the result, and documenting what changed.

The Software Engineering Body of Knowledge (SWEBOK V4.0a) treats software maintenance as a dedicated software-engineering knowledge area covering maintenance processes, maintenance activities and tasks, supporting and monitoring activities, planning, configuration management, and software quality.

A structured process helps prevent a maintenance fix from creating additional problems.

Step 1: Identify the Problem or Request

Maintenance requirements may be discovered through:

• customer reports
• support tickets
• monitoring systems
• logs
• security alerts
• analytics
• developers
• QA teams
• business stakeholders
• automated tests

The requirement should be documented clearly before changes begin.

Step 2: Classify and Prioritize It

The change can first be classified as:

• corrective
• adaptive
• perfective
• preventive

Priority should then be considered:

• security risk
• business impact
• affected users
• application availability
• financial impact
• regulatory implications
• severity
• development complexity

A critical vulnerability affecting customer information should receive greater urgency than a minor visual inconsistency.

Step 3: Perform Change Impact Analysis

Before editing the software, developers should determine what else may be affected.

Software maintenance impact analysis can examine:

• affected modules
• dependent services
• interfaces
• databases
• infrastructure
• security
• integrations
• user workflows
• tests
• documentation

Impact analysis is an established software maintenance concept and is included within current SWEBOK competency areas.

Step 4: Design the Change

Developers determine how the problem should be addressed.

That may involve:

• source code changes
• database migrations
• API modifications
• infrastructure adjustments
• architectural changes
• security controls
• rollback planning

Small fixes may require little formal design, while high-risk changes should be planned carefully.

Step 5: Implement the Modification

Development teams then implement the change.

Common engineering practices include:

• version control
• code review
• development environments
• coding standards
• dependency management
• CI/CD pipelines

Step 6: Test the Software

Maintenance changes should be tested before production deployment.

Testing may include:

• unit testing
• integration testing
• regression testing
• security testing
• performance testing
• user acceptance testing

Why Regression Testing Matters

Regression testing checks whether existing functionality still works after software has been modified.

This is particularly important in maintenance because changing one component can produce unexpected effects elsewhere.

A checkout fix, for example, should not accidentally break:

• taxes
• discounts
• inventory updates
• order confirmation
• payment records

Step 7: Deploy the Change

After validation, the maintenance update is deployed.

Depending on the application, teams may use:

• staging environments
• automated deployment pipelines
• maintenance windows
• database backups
• incremental releases
• rollback procedures

Step 8: Monitor After Deployment

Successful deployment does not automatically mean the work is finished.

Teams should monitor:

• application errors
• performance
• transactions
• infrastructure usage
• logs
• availability
• user reports

Problems detected after release may require rollback or additional corrective action.

Step 9: Document the Change

Maintenance documentation can include:

• release notes
• change logs
• architecture updates
• API documentation
• support documentation
• deployment instructions
• known limitations

Documentation makes future maintenance easier because the next developer can understand why previous changes were made.

Software Maintenance Lifecycle

Software maintenance is better understood as a repeating lifecycle than as a one-time project.

A practical lifecycle is:

Monitor → Identify → Analyze → Prioritize → Develop → Test → Deploy → Monitor

The cycle continues for as long as the application remains operational.

A Practical Software Maintenance Health-Check Framework

Before deciding which maintenance tasks to prioritize, evaluate the application across seven areas.

This provides a more useful picture than simply asking, “Does the application currently work?”

Area	Questions to Ask	Warning Signs
Application Health	Is the software stable and available?	Increasing errors or downtime
Code Health	Is the code understandable and maintainable?	Fragile modules, duplication
Dependency Health	Are frameworks and libraries supported?	Deprecated or vulnerable packages
Database Health	Is data access efficient?	Slow queries, growing latency
Integration Health	Are APIs and external services stable?	Recurring integration failures
Deployment Health	Can updates be released safely?	Manual releases, frequent rollbacks
Security Health	Are vulnerabilities and patches monitored?	Unsupported components, delayed patches

Let’s examine these areas further.

Application Health

Review:

• error rates
• crashes
• availability
• slow transactions
• resource utilization
• recurring incidents

Code Health

Look for:

• unnecessary duplication
• excessively complex modules
• poor test coverage
• tightly coupled components
• undocumented business logic
• temporary fixes that became permanent

Dependency Health

Audit:

• libraries
• frameworks
• runtimes
• plugins
• package versions
• end-of-life technologies

OWASP recommends keeping an inventory of software components and monitoring them for security updates and vulnerabilities.

Database Health

Review:

• query performance
• indexes
• database growth
• connection usage
• backups
• migrations

Integration Health

Check important:

• payment gateways
• CRMs
• authentication services
• external APIs
• analytics integrations
• communication platforms

Deployment Health

Ask:

• Is there a staging environment?
• Are deployments repeatable?
• Are tests automated?
• Is rollback possible?
• Can developers identify which change caused a failure?

Security Health

Review:

• known vulnerabilities
• unsupported components
• patch status
• authentication
• permissions
• dependency risks
• security monitoring

Common Signs Your Application Has a Maintenance Problem

Businesses often notice maintenance issues indirectly.

The following signals may indicate deeper technical problems.

Signal	What It May Indicate	Recommended Investigation
Bugs are becoming more frequent	Technical debt or weak testing	Code and QA review
Releases take increasingly longer	Fragile architecture	Deployment and architecture review
Developers avoid certain modules	Excessive code complexity	Refactoring assessment
Server costs rise without equivalent growth	Performance inefficiency	Application profiling
Integrations frequently fail	Aging APIs or dependencies	Integration audit
Security patches are repeatedly delayed	Poor dependency management	Vulnerability review
Small changes create unexpected issues	Tight coupling or weak testing	Architecture and regression review
New developers take months to understand the system	Poor documentation	Documentation and code-health review

The important point is that maintenance problems often appear as patterns, not isolated tickets.

Fixing individual symptoms without addressing the underlying cause can create a cycle of recurring corrective work.

Software Maintenance vs. Software Support

Software maintenance changes or improves the software itself, while software support primarily helps users operate or troubleshoot the software.

Software Maintenance	Software Support
Changes the software	Helps users operate the software
Fixes defects	Troubleshoots problems
Updates dependencies	Answers questions
Improves performance	Provides guidance
Modifies integrations	Helps with configuration
Often requires development	May not require coding

For example:If a customer cannot locate a setting and a support representative explains where it is, that is support.

If the setting does not work and developers modify the source code, that is maintenance.

In practice, many organizations combine both as software support and maintenance services.

Software Maintenance vs. Software Development

Software development primarily focuses on creating a new digital product, application, system, or significant new capability.

Software maintenance focuses on preserving and evolving software that already exists.

However, maintenance still requires many of the same engineering capabilities, including:

• coding
• QA
• database development
• DevOps
• infrastructure management
• architecture
• security engineering
• UX improvements

The difference is primarily the purpose and lifecycle stage of the work.

Software Maintenance vs. Software Modernization

Maintenance generally preserves and improves an existing system. Modernization makes deeper changes to how that system is built, hosted, or architected.

Modernization can involve rearchitecture, replatforming, replacing outdated frameworks, or moving applications through cloud migration.

• replacing an obsolete framework
• rearchitecting a monolithic system
• cloud migration
• database migration
• replacing legacy components
• containerization
• rebuilding major modules
• replatforming applications

Maintenance may delay the need for modernization, but it cannot make every aging architecture viable indefinitely.

What Is Legacy Software Maintenance?

Legacy software is older technology that remains important to business operations.

A legacy system may depend on:

• outdated programming languages
• unsupported frameworks
• aging databases
• obsolete infrastructure
• poorly documented source code
• fragile integrations
• developers who are no longer available

Legacy applications can continue providing significant business value, but maintenance becomes more difficult when the underlying technologies reach end of life.

Common Legacy Maintenance Challenges

Organizations may encounter:

• higher development costs
• security vulnerabilities
• compatibility limitations
• lack of experienced developers
• growing technical debt
• slow release cycles
• poor documentation
• fragile integrations
• limited scalability

When these problems become severe, maintenance may no longer be the best strategy.

Should You Maintain, Modernize, or Replace Software?

The correct answer depends on the condition of the application and its business value.

Situation	Likely Direction
Minor bugs	Maintain
Moderate performance bottlenecks	Optimize
Outdated dependencies	Update
Growing technical debt	Refactor
Unsupported framework	Modernize
Architecture cannot scale	Re-architect
Severe security limitations	Modernize or replace
Software no longer meets business needs	Rebuild or replace
Maintenance cost continually exceeds value	Evaluate replacement

Maintain When

The application:

• continues meeting business needs
• has a fundamentally sound architecture
• can be secured
• can still be supported
• requires manageable improvements

Modernize When

The application remains valuable but:

• relies heavily on outdated technology
• cannot scale efficiently
• is difficult to integrate
• slows development
• creates significant technical debt

Replace When

Replacement may make more sense when:

• the system no longer supports business requirements
• maintenance costs are continuously increasing
• critical technologies are unsupported
• serious security limitations cannot reasonably be solved
• the architecture cannot support future growth

The decision should be based on business value, technical risk, total cost, and future requirements, not simply software age.

Benefits of Regular Software Maintenance

Rather than treating each benefit as a separate initiative, software maintenance creates value across several areas.

Benefit	Business Impact
Reliability	Fewer disruptions and failures
Security	Reduced exposure to known vulnerabilities
Performance	Faster and more efficient applications
Compatibility	Continued operation with changing technologies
Maintainability	Easier and safer future development
User Experience	Better usability and fewer frustrations
Scalability	Greater ability to support growth
Longevity	Longer useful application life
Technical Debt Control	Reduced future development friction

Common Software Maintenance Challenges

Maintenance work has its own engineering difficulties.

Understanding Existing Code

Developers frequently maintain software they did not originally build.

Poor code structure makes investigation slower.

Missing Documentation

Without documentation, teams may not understand:

• why a component exists
• which systems depend on it
• how integrations work
• what will break when it changes

Legacy Technologies

Older programming languages and frameworks may have:

• limited documentation
• fewer experienced developers
• poor vendor support
• compatibility problems

Technical Debt

A highly indebted codebase increases the complexity of almost every future change.

Dependency Problems

Updating a library can sometimes introduce breaking changes elsewhere in the application.

Regression Risk

Small code changes can unintentionally affect existing functionality.

Balancing Maintenance and New Features

Engineering teams frequently have to choose between:

• fixing technical problems
• reducing technical debt
• shipping new capabilities

Postponing maintenance indefinitely can eventually make feature development slower as well.

Updating Without Downtime

Business-critical platforms may need software changes without interrupting customers or operations.

This makes deployment strategy, monitoring, backups, and rollback planning particularly important.

How Much Does Software Maintenance Cost?

There is no universal percentage or fixed cost for software maintenance.

Cost depends on the software itself and the level of service required.

Important factors include:

• size of the application
• code complexity
• technology stack
• software age
• architecture quality
• documentation quality
• number of integrations
• cloud and infrastructure requirements
• security requirements
• support hours
• uptime requirements
• testing requirements
• frequency of releases
• developer availability
• level of technical debt

A simple internal application may require occasional updates.

A large SaaS platform handling business-critical transactions may require continuous monitoring, dedicated engineering, security management, infrastructure support, automated testing, and frequent releases.

What Makes Software Maintenance More Expensive?

Maintenance costs often increase when an application has:

• poor documentation
• little automated testing
• outdated technology
• unsupported dependencies
• tightly coupled architecture
• frequent emergency fixes
• insufficient monitoring
• complex integrations
• years of accumulated technical debt

How Can Maintenance Costs Be Reduced?

Organizations can reduce unnecessary long-term maintenance effort by:

• writing maintainable code
• documenting systems
• automating tests
• keeping dependencies current
• reviewing technical debt
• monitoring applications
• using version control
• automating deployments
• performing regular preventive maintenance

Delaying maintenance can make a budget look smaller today while creating much larger engineering work later.

Software Maintenance Best Practices

1. Monitor Software Continuously

Monitoring should make important failures visible quickly.

Track:

• errors
• availability
• application latency
• failed transactions
• resource usage
• infrastructure health

2. Keep Dependencies Current

Do not wait until a critical framework becomes several major versions behind.

Maintain a regular dependency review process.

3. Maintain Useful Documentation

Document:

• architecture
• integrations
• deployments
• business logic
• infrastructure
• APIs
• known limitations

4. Use Version Control

Every meaningful code change should be traceable.

Version control makes it easier to:

• collaborate
• review changes
• investigate failures
• restore previous versions

5. Automate Testing Where Practical

Automated tests can help teams confidently change existing systems.

Prioritize tests around:

• critical business logic
• payments
• authentication
• integrations
• high-risk workflows

6. Perform Regression Testing

Do not verify only the function that changed.

Check related functionality that might be affected.

7. Use CI/CD Where Appropriate

Automated build, test, and deployment processes can make software changes more consistent and repeatable.

8. Prioritize Security Updates

Use risk-based prioritization rather than treating every update equally.

Critical vulnerabilities affecting exposed or business-critical software should receive appropriate urgency.

9. Review Code

Code reviews help identify:

• errors
• maintainability issues
• security concerns
• unintended complexity

before changes reach production.

10. Manage Technical Debt Deliberately

Technical debt should be tracked just like product work.

If it is invisible, it is easy to ignore until it becomes expensive.

11. Maintain Backups and Rollback Procedures

A safe maintenance process assumes that some releases may fail.

Teams should know how to restore service quickly.

12. Track Changes

Maintain:

• issue records
• release notes
• code history
• technical documentation
• deployment records

13. Learn From Production Incidents

When an incident occurs, do not only fix the immediate bug.

Ask:

• Why did the failure happen?
• Why was it not detected earlier?
• Could monitoring have caught it?
• Could testing have prevented it?
• Does a broader architectural issue exist?

That converts corrective maintenance into future preventive improvement.

Tools Used for Software Maintenance

The exact tools vary by technology stack, but maintenance teams typically use several categories.

Version Control

Examples include:

• Git
• GitHub
• GitLab
• Bitbucket

Issue Tracking

Used for:

• bug reports
• maintenance requests
• prioritization
• assignment
• progress tracking

Monitoring and Observability

Monitoring platforms can track:

• errors
• application performance
• uptime
• logs
• infrastructure
• resource usage

Testing

Testing tools support:

• unit tests
• integration tests
• automated regression tests
• performance tests
• security tests

CI/CD

CI/CD systems automate parts of:

• building
• testing
• releasing
• deploying software

Security Scanning

Security tools can identify:

• vulnerable dependencies
• software weaknesses
• configuration problems
• outdated components

Documentation

Knowledge-management tools help preserve technical context as teams and systems change.

How Do You Measure Software Maintenance Performance?

Teams should avoid judging maintenance only by the number of tickets closed.

Better metrics consider application stability, quality, and the team’s ability to respond to change.

Time to Restore Service

This measures how long it takes to restore normal service after a production failure.

A lower recovery time can indicate stronger incident detection and response.

Change Failure Rate

Change failure rate measures the proportion of production changes that cause failures requiring remediation.

It can help identify whether teams are releasing changes safely.

Google’s DORA research has long used delivery and stability measures such as deployment frequency, change failure rate, lead time, and recovery time to evaluate software delivery performance.

Deployment Frequency

Deployment frequency tracks how often software is successfully released.

This metric is more relevant when considered alongside stability rather than treated as a goal by itself.

Google Cloud continues to expose deployment frequency and deployment failure rate as delivery metrics.

Defect Resolution Time

Measure how long reported software defects remain unresolved.

Defect Reopen Rate

If supposedly fixed issues repeatedly return, the maintenance process may be addressing symptoms rather than causes.

Application Uptime

Track the availability of business-critical applications.

Production Incident Frequency

A downward trend in preventable incidents may indicate successful preventive maintenance.

Customer-Reported Problems

Users are often the first people to identify software quality problems.

Track the type and frequency of customer-reported defects.

Technical Debt Trend

Rather than trying to reduce all technical debt immediately, monitor whether important debt is:

• increasing
• stable
• decreasing

Real-World Software Maintenance Examples

Example 1: Ecommerce Application

Consider a checkout system.

Corrective

Customers cannot complete payments because of a software defect.

Developers fix the error.

Adaptive

The payment provider introduces a new API version.

Developers update the integration.

Perfective

Analytics show users abandoning the checkout because it is slow.

Developers optimize the workflow and database requests.

Preventive

The checkout module relies on an aging library.

Developers replace it before support ends.

The same application can therefore require all four types of maintenance.

Example 2: Growing SaaS Platform

Imagine a SaaS platform that initially performs well with a relatively small customer base.

As customer volume and stored data increase, dashboard pages gradually become slower.

The first assumption might be that the platform needs more server capacity.

However, a maintenance investigation may instead identify:

• inefficient database queries
• missing indexes
• repeated API requests
• inefficient background jobs

Optimizing these issues may improve performance without rebuilding the application.

This is why good software maintenance begins with diagnosis, not assumptions.

Example 3: Mobile Application

Mobile applications require ongoing monitoring, compatibility updates, security improvements, and performance optimization after release. Our guide to mobile app maintenance and post-launch optimization explains these requirements in greater detail.

Example 4: Legacy Business Application

A long-running internal application may still perform an essential business function but use outdated technology.

Maintenance may initially focus on:

• security patches
• database optimization
• small bug fixes
• infrastructure updates

If the underlying framework eventually becomes unsupported, the organization may need to move from maintenance to modernization.

Who Is Responsible for Software Maintenance?

Businesses can maintain software through several models.

In-House Development Team

Internal engineers can provide:

• direct knowledge
• close business alignment
• faster internal communication

but require sufficient capacity and expertise.

Dedicated Maintenance Team

Larger organizations may separate maintenance responsibilities from new product development.

Original Software Development Partner

The company that built an application may already understand its architecture, infrastructure, and business logic.

Managed Services Provider

A managed services provider can support:

• application monitoring
• maintenance
• infrastructure
• updates
• operational support

Outsourced Maintenance Team

Companies may outsource software maintenance when they lack the required expertise internally or need additional engineering capacity.

Paklogics Perspective: Maintenance Should Start Before Something Breaks

One of the biggest mistakes businesses can make is treating software maintenance as nothing more than emergency bug fixing.

A stronger approach combines:

Monitoring to identify problems quickly.

Corrective work to restore expected behavior.

Adaptive work to keep software compatible.

Perfective work to improve performance and user experience.

Preventive work to reduce future failures and technical debt.

Paklogics positions its managed services around 24/7 monitoring, maintenance, and comprehensive support, alongside consulting and implementation capabilities. Its published technology stack spans modern web, mobile, database, cloud, DevOps, and application technologies.

For businesses operating important digital platforms, this broader view matters because application reliability depends on more than source code alone.

It can involve the health of:

• the application
• its database
• infrastructure
• cloud environment
• deployment process
• dependencies
• integrations
• monitoring
• security controls

How Often Should Software Maintenance Be Performed?

There is no single correct maintenance frequency.

Different activities operate on different schedules.

Continuous

Examples:

• application monitoring
• uptime monitoring
• security alerts
• error tracking
• infrastructure monitoring

Scheduled

Examples:

• dependency reviews
• security assessments
• performance audits
• database maintenance
• preventive refactoring
• backup verification

These may be weekly, monthly, quarterly, or based on application risk.

Event-Driven

Maintenance may also be triggered immediately by:

• serious bugs
• security vulnerabilities
• API changes
• operating system changes
• infrastructure incidents
• regulatory requirements

The strongest maintenance programs combine all three approaches.

How to Create a Software Maintenance Plan

A software maintenance plan turns reactive technical work into a manageable process.

1. Inventory the Application

Document:

• technologies
• infrastructure
• dependencies
• databases
• integrations
• environments

2. Identify Critical Business Functions

Understand which features cannot tolerate extended failure.

Examples might include:

• payments
• authentication
• order processing
• customer portals
• operational dashboards

3. Define Monitoring Requirements

Decide what should generate alerts.

4. Establish Severity Levels

For example:

Critical: service unavailable or serious security exposure
High: major functionality affected
Medium: limited functionality affected
Low: minor defect or cosmetic problem

5. Define Response Expectations

Establish who owns different incidents and how quickly they should be investigated.

6. Maintain a Preventive Backlog

Do not let preventive work disappear behind feature development.

Track:

• refactoring
• dependency updates
• test improvements
• documentation
• infrastructure improvements

7. Establish Testing Requirements

Define which tests are required for different types of changes.

8. Define Deployment Procedures

Document:

• staging
• approvals
• backups
• deployment
• rollback

9. Define Security Maintenance Procedures

Track:

• vulnerabilities
• patches
• dependencies
• supported versions

10. Track Maintenance Metrics

Measure whether maintenance is improving:

• reliability
• recovery time
• software quality
• user experience
• change safety

Software Maintenance Checklist

Use this checklist during regular software health reviews.

Reliability

• Are production errors monitored?
• Are recurring incidents being investigated?
• Is uptime measured?
• Are critical workflows tested?

Security

• Are dependencies scanned?
• Are security updates current?
• Are unsupported technologies identified?
• Are access controls reviewed?

Code

• Is technical debt tracked?
• Are critical modules documented?
• Are repeated temporary fixes being refactored?
• Is code reviewed before release?

Testing

• Are critical workflows covered by automated tests?
• Is regression testing performed?
• Are integrations tested?

Infrastructure

• Is infrastructure monitored?
• Are backups tested?
• Is resource usage reviewed?
• Is a rollback strategy available?

Dependencies

• Are libraries current?
• Are frameworks supported?
• Are APIs approaching deprecation?

Performance

• Are slow queries monitored?
• Is application latency tracked?
• Are performance regressions investigated?

Documentation

• Are architecture documents current?
• Are deployment procedures documented?
• Are major integrations documented?
• Are important changes recorded?

When Should You Hire a Software Maintenance Company?

External software maintenance support may be useful when:

• production bugs are becoming frequent
• downtime is increasing
• internal engineers are overloaded
• technical debt is growing
• application performance is declining
• security updates are delayed
• frameworks are becoming unsupported
• releases frequently cause problems
• documentation is incomplete
• important integrations are unstable
• continuous monitoring is required
• the business lacks specialist engineering skills

The decision should not be based only on whether a maintenance provider can fix bugs.

Evaluate whether the team can support the broader technology environment around the application.

That can include:

• development
• QA
• DevOps
• cloud infrastructure
• databases
• APIs
• security
• monitoring
• deployment

What Happens If Software Is Not Maintained?

Software does not necessarily fail immediately when maintenance stops.

The risks usually accumulate.

Over time, organizations may experience:

• more security vulnerabilities
• growing compatibility problems
• slower performance
• unsupported dependencies
• recurring bugs
• increasing technical debt
• integration failures
• higher infrastructure costs
• longer development cycles
• worse user experiences

Eventually, the application may reach a point where routine maintenance is no longer economically attractive.

At that stage, modernization or replacement may become necessary.

Final Thoughts

Software maintenance is not simply the work that happens after software development.

It is part of the continuing life of a digital product.

Effective software maintenance helps organizations:

• correct existing faults
• adapt to changing technologies
• perfect existing functionality
• prevent future problems

These four principles, correct, adapt, improve, and prevent, provide a practical way to think about maintaining applications throughout their useful life.

The best maintenance programs also go beyond responding to tickets.

They monitor application health, address technical debt, maintain dependencies, test changes carefully, track reliability, document systems, and recognize when an existing application has reached the point where modernization makes more sense.

For businesses without sufficient internal capacity, working with an experienced technology partner can help provide the development, monitoring, maintenance, cloud, and operational expertise required to keep critical applications reliable over time.

Paklogics provides technology consulting, implementation, and Managed Services, including 24/7 monitoring, maintenance, and support for digital investments.

Frequently Asked Questions About Software Maintenance

What is software maintenance in simple terms?

Software maintenance is the ongoing work required to fix, update, improve, and protect software after it has been launched. It helps software remain reliable, secure, compatible, and useful as technology and business requirements change.

What are the four types of software maintenance?

The four types are corrective, adaptive, perfective, and preventive maintenance. Corrective maintenance fixes faults, adaptive maintenance responds to external changes, perfective maintenance improves software, and preventive maintenance reduces the risk of future problems.

What is an example of software maintenance?

Examples include fixing a payment-processing bug, updating an application to support a new API, optimizing database queries to improve performance, or replacing an outdated software library.

Why is software maintenance important?

Software maintenance helps keep applications reliable, secure, performant, compatible, and aligned with changing user and business requirements. It can also reduce technical debt and extend the useful life of software.

What is corrective software maintenance?

Corrective software maintenance fixes faults that already exist in deployed software, such as application crashes, calculation errors, broken functionality, or failed integrations.

What is adaptive software maintenance?

Adaptive maintenance changes software so it continues operating when its environment changes. Examples include adapting an application to a new operating system, API, database version, or regulatory requirement.

What is perfective software maintenance?

Perfective maintenance improves functioning software. It can include performance optimization, usability improvements, workflow changes, and enhancements to existing capabilities.

What is preventive software maintenance?

Preventive maintenance improves software before major problems develop. Examples include refactoring complex code, updating dependencies, improving automated testing, and strengthening documentation.

Is software maintenance part of the SDLC?

Yes. Software maintenance is commonly treated as the post-deployment stage of the software development lifecycle and can continue for as long as the software remains in operation.

What is the difference between software maintenance and software support?

Software maintenance usually involves modifying or improving the application itself. Software support primarily helps users troubleshoot, configure, and use the software.

What is the difference between software maintenance and modernization?

Maintenance preserves and improves an existing application. Modernization involves bigger technological change, such as cloud migration, rearchitecture, replatforming, or replacing obsolete frameworks.

How often should software maintenance be performed?

Some maintenance activities, such as monitoring and security alerts, should be continuous. Other activities can be scheduled periodically or performed when events such as bugs, vulnerabilities, API changes, or platform updates occur.

How much does software maintenance cost?

Software maintenance cost depends on application complexity, technology, age, architecture, technical debt, infrastructure, integrations, security requirements, support requirements, and frequency of changes. There is no single percentage that accurately applies to every application.

Who performs software maintenance?

Software can be maintained by internal developers, dedicated maintenance teams, the original development company, outsourced specialists, or a managed services provider.

Can software maintenance improve security?

Yes. Maintenance can improve security through vulnerability remediation, patching, dependency upgrades, configuration improvements, supported software versions, and stronger security monitoring.

What is a software maintenance plan?

A software maintenance plan defines how an organization will monitor, prioritize, test, update, secure, deploy, document, and measure changes to an application throughout its operational life.

When should software be replaced instead of maintained?

Replacement should be considered when an application no longer meets business requirements, relies on severely outdated technology, presents unacceptable security or scalability risks, or costs more to maintain than the value it provides.