In this scrutiny, we are going to delve into 8 performance indicators that are key to ensuring the creation of quality software, with significant concentration on the functionalities of Panaya Test Dynamix:
It’s a well-accepted fact that Quality Managers for software are faced with increasing demands to deliver superior software within challenging timeframes.
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The query that often comes up is, “What is the yardstick for measuring our efficiency in relation to software quality?”
Even though ascertaining time-to-market is fairly uncomplicated, the judgment of our software’s quality hinges on multiple aspects such as the project method (agile, waterfall, hybrid), the complexity of the software, technical overhead, the count of interfaces and so on.
It’s pivotal to acknowledge the enormous impact of the multitude of variables in deciding the agreeable limit of high-severity defects. In order to stay afloat in this competitive industry, it’s of utmost importance that we keep evolving constantly, re-consider our viewpoints and fine-tune our measurement approaches.
With this in mind, we have put together 8 fundamental performance indicators that you should incorporate into your Quality Scorecard. Keeping tabs on these metrics will aid in reduction of release hazards, enhancement of quality, and attainment of success:
Understanding the Following:
- Performance Metrics for Quality Deliverable
- Other things to know about this service
- Final Thoughts
Performance Metrics for Quality Deliverable
#1) Efficacy of Defect Detection (DDE, Also Known As Defect Detection Percentile)
This metric offers insights into how well your regression testing performs, by calculating the proportion of defects identified pre and post release by customers.
Defects discerned post-release are dubbed as “incidents” and are compiled in a help desk system, whereas defects detected during testing stages (like Unit, System, Regression, or UAT) are spotted and documented pre-release using tools such as Panaya Test Dynamix.
In order to precisely reckon this metric, each defect should be grouped based on the software version it was noticed in, before its release to the production arena.
The DDE is usually calculated using this formula:
Count of defects detected in the version of software release /
Count of defects in the version of software release + Defects detected by end-users post release
An easy to understand example:
Assume that during the regression testing phase of the previous monthly SAP Service Pack, 95 defects were detected, and 25 defects were noted after the release. The DDE can be computed as 95 divided by (95 + 25), which yields 79%.
Track the DDE through a line chart, starting from 100% the day post release. It’s normal to witness a drop to roughly 95% in the initial week, due to incidents flagged by internal end users and customers. For monthly Service Pack releases, monitor the DDE over a 30-day period. For enterprises with quartely major release cycles, monitor it over 90 days to observe its gradual decline.
What’s regarded as a “good DDE”?
In most sectors, a DDE of 90% is perceived as admirable, pretty much like blood pressure readings which vary based on age. Nonetheless, organizations can consistently achieve a DDE higher than 95% by employing change impact simulation tools such as Panaya’s Impact Analysis.
#2) Defects Across the System (SWD)
Test managers often stumble upon numerous defects linked to the same objects, leading to unexpected surges in reported bugs during UAT cycles. Manually connecting duplicates or analyzing root causes for every defect is not practical.
To counter this concern, initiate tracking what Panaya refers to as “System-Wide Defects”. Manual tracking of this metric can be a lengthy process, especially with older generation ALM tools boasting restricted capabilities. Panaya Test Dynamix integrates built-in SWD computation functionalities that simplify this process.
“System-Wide Defects” act as an embodiment of principal KPIs that every testing, quality, and release manager should monitor, and they may be shown as a Spider Web inside the Risk Cockpit of the Panaya platform.
#3) Fulfillment of Requirements
QA managers need transparency into code or transport level activities linked to each requirement to comprehend the inherent threats. Tools from Panaya, particularly Panaya Release Dynamix (RDx), provide the required level of tracking for organizations using SAP, proffering recommendations for unit tests and risk study based on transport functionality.
#4) Completion of Development
In today’s customer-focused times, companies must adopt an all-inclusive approach to quality assurance and delivery, integrating QA and testing managers into the process of application development. This requires keeping a close watch on the delivery of user narratives and being a proactive participant in daily Scrum assemblies to debate the risks linked to changes in the application under test.
#5) Coverage of Test Plan
Measuring test plan coverage entails more than just overseeing system, integration, regression, and UAT coverage. Shifting towards a “shift-left” approach, it’s essential to emphasize tracking of unit testing coverage. Panaya Test Dynamix eases unit testing, documenting actual test results effortlessly and enabling establishment of a Requirements Traceability Matrix showcasing end-to-end coverage.
#6) Analysis of Risk from Changes
Every modification made to an application under test carries inherent risks. However, enterprises may grapple with determining if they are testing the right areas. Panaya Release Dynamix (RDx) offers a feature called Impact Analysis which excludes guesswork by systematically computing risk for each requirement throughout the delivery lifecycle.
#7) Execution Risk in Testing
Beyond tracking key metrics such as tests composed, tests passed, and tests automated, it’s critical to track the steps performed within each test. This holds particular importance when there are multiple handovers taking place during a UAT cycle. Panaya Test Dynamix offers inbuilt reporting capabilities to track progress of test execution both at the level of tests and the business process level.
#8) Execution of Defects
Apart from tracking active defects, defects fixed per day, defects rejected, and severe defects, it’s advised to track defect resolutions relative to scoped-in requirements. Following a requirements-driven approach to rectifying defects can significantly uplift the quality of software releases.
Other things to know about this service
#1) Panaya Test Dynamix is a SaaS-based solution which provides smooth integration, regular upgrades, and supervision of on-premise automation resources.
#2) Integrated collaboration tools simplify testing cycles, offering notifications and communication functionalities. Automatic transfer of test steps decreases idle time and eases workload bottlenecks.
#3) Smart management of defects offers central monitoring of defects and their resolutions, providing visibility into the business processes impacted by each defect. Defects are automatically linked to tests impacted, ensuring efficient resolution and eliminating backlog.
#4) Panaya Release Dynamix (RDx) favors a business process-centric approach towards User Acceptance Testing (UAT) and System Integration Testing (SIT), enabling teams spread across various functions and geographical locations to verify UAT cycles based on real-world business processes.
#5) Connectors for Test Automation create seamless integration between Panaya Test Dynamix and existing automation tools, supporting effective regression cycles with comprehensive tracking and supervision functionalities.
#6) Automation of Test Evidence does away with the necessity for manual test documentation in utilities like Excel and Word. Every test execution, including evidence and steps, are automatically documented, reducing communication overhead between developers and testers. The documentation is ready for audits and is compliant with internal and external quality norms.
#7) Autonomous Testing SM for SAP assists in creating and maintaining test cases, utilizing machine learning to provide validation and suggestions drawn from crowd analysis.
#8) Automated capture of business knowledge – Omega automatically constructs real-life test cases based on activities of business users, captured seamlessly in the production environment using machine learning algorithms (SAP).
Quality Managers for Software and other involved parties can meet their testing KPIs, kindle innovation, and reduce effort by 30-50% without skimping on quality or scope. Solutions offered by Panaya streamline the testing procedure, providing real-time transparency across all test cycles, including large-scale UAT.
For more information, you can visit Panaya Test Dynamix.
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