Performance Testing and Regression Testing
Software testing or Testing is an examination conducted to present the stakeholders with data regarding the quality of the service or product under test. This type of software testing as well provides in insight on the independent views and objectives of the software to permit the business to understand all the risks involved during the implementation of the software.
Based on the testing method employed, Software testing can be put into practice at any point of time in the development process. Although, most of the efforts for testing occur after the requirements are defined and the process for coding has been completed.
This article describes two types of testing methodologies.
1. Performance Testing
Performance testing is performed to determine how quick a system or sub-system executes under a particular amount of workload. It can also provide to verify and validate other quality traits of the system, such as reliability, scalability and resource usage.
In the field of Software Engineering, performance testing comes under the testing category which is carried out to how fast a particular aspect of the system under observation performs, given a fixed amount of workload. This sort of testing is a subset of Performance Engineering (up-and-coming computer science practices build to get performance into the architecture and design of a system, prior to the actual effort of coding). There are various purposes which performance testing can serve:
It can compare given two systems and finds out which one is performing better
It can demonstrate whether or not the system meets the required performance criteria.
It can calculate which parts of the system under observation cause the system to perform badly.
2. Regression Testing
This type of testing is any software testing which seeks to find out software errors by partly re-testing a modified program. The intention of this type of testing is to provide a kind of assurance that no additional errors were added during the process of fixing the existing problems. Regression testing is generally used to proficiently examine the system by systematically choosing the appropriate suite of tests which are required to sufficiently cove all of the affected changes.
Widespread methods of regression testing comprise of rerunning earlier run tests and scrutinizing whether previously fixed faults have re-emerged. One of the chief reasons for performing regression testing is that it’s often tremendously difficult for a programmer to outline out how a change in one part of the software will reverberate in other parts of the software.
Ad hoc testing
This term is commonly used to represent software testing without any documentation or planning. The tests are made to run only once, unless a defect is discovered. This type of testing is more of a part of exploratory testing. Here, the tester seeks to find errors by any means that seems appropriate to him/her.
Unit Testing
This type of testing is a software verification and validation method where a programmer tests if individual units of system are fit for utilization. A unit is the least testable part of an application. In procedural programming, a unit might be an individual procedure or function.
Advantages
The advantage of performing Performance and Regression testing are:
Reusable: Can reuse tests on diverse versions of an application, even if the user interface alters
Repeatable: Can check how the software responds under repeated execution of the identical operations.
Programmable: Can program complicated tests that bring out concealed information from the application.
Cost Reduction: Cost is reduced since the amounts of resources for regression test are reduced.
Reliable: Tests carry out precisely the equivalent operations each time they are run, thereby eradicating human error.
Comprehensive: Can build a suite of tests that wraps every feature in the application.
Better Quality Software: Can run additional tests in fewer time with less resources
Fast: Automated Tools run tests considerably faster as compared to the human users.
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