The Software industry has been progressing and evolving exponentially in the past few years. Software engineers are using their expert knowledge to deliver products that have superior quality and provide innovative and effortless services. To meet the high demand of quality and effective products, software developers and testers use various techniques, methodologies and tools to test and detect discrepancies and errors in the software. Defect detection is one such method, employed by software engineers to test the software application for bugs and defects. A software defect creates deviation between the expected and actual results, therefore it is extremely important for a tester to track them and remove them from the software. To give you a better understanding of Defect Detection and its elements, provided below is its detailed description.
Detecting flaws and defects in the software is of utmost importance, as they can affect the quality, effectiveness, functionality and specification of that software. If these flaws or defects are left unattended, they can cause a huge disaster in the later stages, which can further harm the reputation of the organisation it was developed for. Therefore, testers who have complete understanding of the application under test, play a key role in detecting as many defects as possible. They execute well planned testing activities, which include various testing types, such as, System Testing, End to End Testing, Regression Testing, Exploratory Testing and more.
Moreover, several parameters are calculated by the testers in this phase to ensure its effectiveness and quality. These parameters are:
DDE = [(Number of defects at the moment of software version release) / Total number of defects (raised by the internal testing team and the customers)] * 100
Calculation: To be able to accurately calculate the metrics, the testers should properly track all the elements of the system during defect detection. Affected version, version of software in which this defect was found, release date, date when version was release, among other things should be calculated.
Furthermore, Defect Detection Percentage can also be calculated from sub-metrics:
Dimensions: The dimension in which it should be possible to monitor Defects Detection Percentage are:
The Defect Detection Percentage ratio changes over time, as more defects are found by customers working with the version. Therefore, to get accurate visualization, it is best to use a line chart that starts with 100% at moment of software version release and a line representing a trend of how fast Defect Detection Percentage is declining. Furthermore, for iterative processes, one should see a bar chart representing Defect Detection Percentage value for each iteration/sprint after a small period of corresponding version release.
Formula: The formula for Defect Detection Efficiency (DDE) is:
DDE = (Number of defects injected and detected in a phase/ Total number of defects injected in that phase) * 100.
In this formula, the unit of the outcome is percentage (%).
Uses of Defect Detection Efficiency (DDE):
Nowadays, software developers and testers aspire to create a software that is perfect in functionality and effectiveness. They use several testing techniques and methodologies to ensure that the end product is compatible to the requirements of the client. Defect Detection plays a very important role in Software Development Life Cycle, as it allows team of testers to check for defects and bugs at different levels of software development as well as after its release. Initiating defect detection in the early stages of development ensures that the product is checked for bugs and errors completely. The other benefits of early defect detection are:
Defect detection is a valuable investment which helps in maintaining the quality of the product. It not only helps in improving the quality of the product but also saves the time and cost of the product, reduce the rework effort, reduce the development time, increase the customer satisfaction, which further enhances the total productivity. Detecting defects in software product development requires serious effort and the team of testers use the most efficient and effective methods ensure its accuracy. Furthermore, with the assistance of Defect Detection Percentage (DDP) and Defect Detection Efficiency (DDE) one can test the number of defects in various phases of software development. The team of tester use both of these parameters to calculate the quality and effectiveness of a software during the various Defect Detection phases and validate exceptional results.
To calculate DDE appropriately, there are certain metrics which have to keep in mind while evaluating efficiency:
There are some important key points which may be observed during testing and DDE calculation::
For better reliability and functionality of a software or an application, the foremost factor during testing is 'Defect Detection' and for accurate approximation it is imperative to calculate defect detection efficiency or percentage (DDE/DDP). This mathematical methodology leads any process in a positive direction which subsequently provides higher productivity and desired results.