Understanding Different Types of Application Testing

Testing is an integral part of the application development life cycle. As a tech professional with over 12 years of experience in test automation across various domains, I cannot emphasize enough the importance of testing early and testing comprehensively. The cost of finding and fixing defects grows exponentially if they reach production. In today‘s extremely competitive software market, with consumers less forgiving of flaws and willing to switch solutions, the bar for quality is higher.

This article aims to provide a detailed guide into different types of testing performed on applications, highlighting the purpose each test type serves, methodologies used, metrics tracked and tools available to automate testing.

Importance of Testing

Let‘s first understand why exhaustive testing is indispensable, before digging into specifics:

Ensures intended functionality: Systematic testing verifies all features and user workflows function per specifications

Optimizes additional quality attributes: Performance, security, reliability testing ensures smooth, uninterrupted user experience

Catches defects early: Nipping issues during development using unit testing, integration testing costs 10-100x less than in production

Reduces business risk: Releasing error-prone unstable software leads to customer attrition and revenue losses

Enables usage telemetry: Production telemetry coupled with test analytics provides data to enhance software iteratively

Thorough testing is hence crucial for creating future-proof high quality applications.

Categorization of Tests

Broadly testing can be classified into:

Functional Testing

Evaluates logical functioning of the software components and their integration. Ensures adherence to requirements. Categorized based on system hierarchy level under test:

  • Unit Testing – Tests individual code units in isolation
  • Integration Testing – Tests interactions between code units
  • System Testing – Tests entire integrated system

Non-Functional Testing

Examines non-functional quality attributes regarding operational parameters and user experience:

  • Performance – Speed, scalability, stability under load
  • Security – Identification of vulnerabilities to threats
  • Reliability – Consistency of operation over time
  • Usability – Human interaction experience
  • Compatibility – Operation across environments
  • Other aspects – Installability, recoverability, maintainability

Many other sub-types exist within these too. Let‘s explore them now.

Functional Testing

This testing focuses purely on system functionality…

Unit Testing

Unit testing involves testing individual units of code in isolation…

The metrics tracked for unit tests include:

  • Code coverage – measures the percentage of code exercised by tests
  • Branch coverage – checks test coverage for conditional branches
  • Data flow coverage – verifies usage of variables

Some popular tools used are:

  • NUnit – open-source .NET unit testing framework
  • JUnit – Java unit testing framework
  • PHPUnit – PHP unit testing framework

Integration Testing

Integration testing checks combined operation of integrated modules/units…

It adopts a systematic strategy to combine units and test:

  • Top-down approach – High level modules tested first
  • Bottom-up approach – Low level units tested first
  • Mixed approach – Bidirectional with cyclic dependencies

Tools like Selenium and TestNG help test and automate these scenarios.

The defect removal efficiency metric helps quantify integration testing rigor:

  • DRE = (Defects before testing – Defects after testing)/Defects before testing

Higher DRE => better test effectiveness

System Testing

System testing involves testing the entire integrated system to validate stable operation across various real world scenarios like – stress, backup/recovery, failover etc.

Cucumber and Karma enable behavior driven automated checks at a system level.

Tracking system test cycle time helps assess predictability of testing activities…

Non-Functional Testing

This evaluates behavioral aspects regarding experience, performance etc…

Performance Testing

Different performance testing activities include:

  • Load testing – checking operation under peak concurrent users
  • Volume testing – handling high data volumes
  • Stress testing – operation under heavy loads

Apache JMeter, LoadNinja provide a rich set of protocol based load generation capabilities for web, mobile and web service interfaces.

Response time and throughput metrics help benchmark server side throughput. Higher throughput and lower response time indicate better performance.

Resource utilization monitoring helps identify bottlenecks during load injection.

Security Testing

Different aspects evaluated under security testing include:

  • Static Application Security Testing (SAST) – inspects code for vulnerabilities
  • Dynamic Application Security Testing (DAST) – tests running systems for threats
  • Vulnerability scanning
  • Risk analysis

Tools like VeraCode perform SAST…

Importance of Testing

Some key benefits making testing indispensable:

Defect Prevention – x units tests save y defects in production
Reduced Risk – z% threat coverage reduces attack surface area
Optimized Quality – w% improvement in user retention/satisfaction

Conclusion

Elaborate testing is crucial to ensure well-rounded, resilient applications that exceed customer expectations. A multi-dimensional testing strategy identifies weaknesses early for timely remedy, leading to smooth user experience and fueling product popularity. Careful test planning considering areas outlined can help optimize testing efforts for efficiency.