IN THIS ARTICLE
What is a Defect in Software Testing?
A defect in software testing is a error, flaw or anomaly in the software that can lead to unexpected behavior or failure to meet requirements. It includes coding errors, design flaws, which coils hinder the smooth, uninterrupted functioning of a software system.
The aim is to find and fix defects, ensuring the software meets specifications and works correctly.
What is Defect Tracking?
Defect tracking is the process of identifying, documenting, and managing Defects in software during its development or maintenance.
It involves systematically recording information about a Defect define, prioritize, analyze, and track its status from discovery through resolution to ensure a more reliable and high-quality end product.
The primary goal of defect tracking is to improve the software development process by addressing and fixing issues promptly.
This is why a specialized team for QA and testing is required to manage this defect-tracking process. The main goal for test engineers is to identify, log, and track defects from the inception to the completion of the software project.
Different Phases of Defect Tracking
Defect Tracking process is a cycle that comprises of different phases.
The different phases of Defect Tracking are:
QAs take on the responsibility of evaluating the defects found and prioritizing them for the developers, and they manage this process throughout the software development lifecycle. Further, the corrections made are also tested to ensure the defect is fixed, and the fix hasn’t given rise to any other defects.
Why is Defect Tracking important?
Poor software quality cost US companies upwards of $2.08 trillion in 2020 alone.
Did you know: Software developers typically make between 100 and 150 mistakes for every thousand lines of code that they write.
Any team juggling multiple projects will have to deal with finding and fixing defects among hundreds of thousands of lines of code. Missing any of these defects can cause serious issues with software functionality, which almost always leads to revenue loss.
Who needs Defect Tracking?
- Developers who verify that their code is clean, functional, elegant (always a bonus) and efficient. Every defect leads to a drop in code and software quality, and devs must deal with each to ensure that the final product is pristine in usability and aesthetics.
- QAs to identify and report defects to stakeholders. An automated and structured defect-tracking system helps QAs track defects seamlessly and check if they are resolved.
- Product Managers evaluate product quality and its market-readiness with the help of defect tracking.
- Business Analysts align future business requirements and feasibility based on the past defect history. Defect Tracking helps them understand the alignment of software development with the expected business requirements.
Defect Tracking Parameters
The most commonly used test tracking parameters are:
- ID: Uniquely identified each defect.
- Title: Name of the defect that is also usually descriptive.
- Description: A larger description of the defect, as well as the step required to reproduce the defect.
- Severity: Marking the intensity of the defect – critical, major, minor.
- Priority: Defining how important it is to fix the defect, depending on how much it impacts the software system – high, medium, low.
- Status: The current status of the defect – open, closed, deferred.
- Assigned: The dev to whom the defect is assigned for resolution.
- Due Date: The date by which the defect must be resolved.
- Comments: Comments providing further information about the defect.
How to Design a Defect Tracking System/Process
A Defect tracking system is a process created to manage and deal with any and all defects found during software development. The process generally consists of the following:
- Defect Detection
- Defect Categorization and Assessment
- Defect Fixing
- Verifying Defect Resolution
- Defect Reports
- End of Project Defect Metrics
Defect Detection
Defect detection is the first step to defect tracking. Defects can be found by developers, test engineers, and product testers or during the beta testing phase. Sometimes defects are found following release as well. Once a defect is found, log it using a defect tracking tool.
Defect Categorization and Assessment
A report including the specifics of the defects is provided to the developer once they have been logged. The developer then determines the severity and scale of impact represented by each defect. Following this evaluation, the defects are segmented into categories such as critical, high severity, medium severity, and low severity, helping developers prioritize and fix defects according to this scale.
Defect Fixing
Defect resolution is performed by developers, and it is a multi-step process to evaluate and fix defects, where:
- Defects are first assigned to developers with relevant knowledge.
- Developers then perform a root cause analysis on the defects, based on their priority level. This helps them understand why the defect happened and how it can be addressed.
- The developer then solves the defect and writes a comprehensive defect report explaining the solution and resolution process.
- This report is once again added to the bug tracker and sent to the software testing team so they can carry out additional testing.
Verifiying Defect Resolution
The software testing team will check the resolution report and retest the solution to ensure that the defect is resolved. If further defects have arisen downstream or the defect is not fixed, then the team would once again share the defects on the defect tracker and share the issues with the developers with relevant knowledge. On the other hand, if the defect is truly resolved, then the defect status will be updated as closed/resolved in the defect tracker.
Defect Reports
The software testing team creates reports for defects. This report explains:
- Defects found in specific modules,
- Why they happened,
- How they were fixed,
- Analyzing the trends of the defects, and
- How they were traced.
Test managers then write and deliver defect reports to the management team in order to receive feedback on the defect management procedure and the status of the faults. The management team then goes over the report and provides feedback, assistance, or further instructions as needed.
Defect Metrics
The development team learns through the process of tracking defects. Metrics of the defect finding and fixing process are calculated to evaluate performance, and data from the defect tracking process is recorded for future reference and to prevent recurrences.
How to track defects using BrowserStack Test Observability
BrowserStack Test Observability is an integrated platform for test monitoring, reporting, and debugging, which allows you to:
- View and debug build runs
- Automatically identify failure reasons
- Automatically detect flaky tests, new failures and more
- Access Test Health Dashboard
- Access Errors Health Dashboard
- Create Custom Dashboards
BrowserStack Test Observability enables teams to enhance Defect Tracking in real-time with:
- Smart Tags
- Custom Alerts
- AI-Driven Failure Analysis
- Unique Errors
Try BrowserStack Test Observability
Smart Tags
BrowserStack Test Observability automatically tags your tests with Smart Tags to help you identify issues in your test suite faster. You can customize Smart Tags with custom rules so you can adapt them to suit your needs.
Test Observability currently supports the following Smart Tags:
- Flaky
- New Failure
- Always Failing
- Performance Anomaly
All Smart Tags are enabled by default and come with default configurations that should suit most teams.
Custom Alerts
BrowserStack Test Observability allows users to set up custom rules for every build. If these rules are breached, you will see an alert on the Build Insights view, helping you quickly understand if the build crossed any quality standards you might have set.
You can also choose whether these custom alerts should apply to all builds in a Project or only select builds.
The custom alerts you can create are:
- Build Stability
- Build Performance
- Span of always failing tests
- Flakiness percentage
- Muted days
- Number of always failing tests
AI-Driven Failure Analysis
Automatic Failure Analysis is triggered after the completion of each build run. But it will work only if:
- There are failures in the current build run.
- There should have been test failures in the same project in the past.
- You should have manually tagged test failures into one of the failure categories in the past.
Unique Errors
Unique Errors in test observability illustrates the impact of individual errors in your test suite.
It allows you to take a unique yet incredibly effective approach to improving the health of your test suites. By fixing one underlying error, you could fix tens of tests.
Unique Errors also helps you understand patterns that could contribute to failures, such as specific approaches to writing test cases or application-level errors.
Best Practices for efficient Defect Tracking
Some of the best practices for efficient defect tracking:
- Clearly identify defects and document sufficient details like description, steps to reproduce, expected behavior, actual behavior, environment details, and artifacts. to understand the issue.
- Follow a unified approach using the same techniques and tools for defect tracking.
- Establish a standardized classification system for defects based on severity, priority, and type.
- Assign prioritize correctly for effective defect tracking and troubleshooting.
- Conduct regular defect triage meetings or sessions to review and prioritize incoming defects.
- Track and analyze key metrics related to defect tracking, such as defect density, aging, resolution time, reopen rate, and customer satisfaction.
- Foster collaboration and communication among team members involved in defect tracking.
- Continuously evaluate and improve the defect tracking process based on feedback, lessons learned, and evolving project requirements.
- Regularly review and refine the workflow, tools, and practices to optimize efficiency and effectiveness.
Conclusion
Defect Tracking makes it easier to systematically debug a defect. It helps identify and resolve defects in a structured manner based on priority. Defect Tracking is critical in ensuring the delivery of high-quality software.
Using tools, such as BrowserStack Test Observability, you can get a unified view of the effectiveness of your defect-tracking processes for an enhanced debugging experience.
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