Traditional Testing and Agile Testing are two important testing techniques used to test the credibility, reliability, quality, functionality, and other important components of the software.
Traditional Testing:
Offers full coverage of the software.
Allows one to detect the maximum number of defects.
Agile Testing:
Involves rigorous planning, analysis, and testing.
Offers effective and efficient risk management.
Test data generation is an essential component of a software testing process and is used to generate a variety of test data using different types of test data generators:
Random Test Data Generator
Goal-Oriented Test Data Generator
Pathwise Test Data Generator
Intelligent Test Data Generator.
As we all know, test case and test plan are two significant components of software testing, as they define and manage the procedure of testing. Moreover, these documents, offer the testing team vital information regarding software testing and elaborate on various other important components related to the project.
Alpha & Beta Testing are two important User Acceptance Testing types, performed during different intervals of the software testing life cycle. The former is an on-site test performed to identify the remaining bugs and glitches at the developer's site, while the latter is an external test that takes place at the client site. So, follow our discussion, to further understand the difference between alpha and beta testing.
Though considered to be synonymous, Ad-hoc Testing & Exploratory Testing are two types of testing techniques, with different qualities, specifications, and functionalities. Testers perform Ad-hoc and Exploratory test with a varying level of planning, to assess different components of the software. Hence, to help you differentiate between these two types of testing techniques, here is a detailed comparison of the two.
Back to back testing is a type of Software Testing, which is also known as Comparison Testing. It is mainly used when several versions of software applications exist for testing, as it tests two or more variants of a component, with similar inputs, as well as compares and examines their corresponding outputs to ensure no discrepancies occur in the software in the future
Black Box Testing is performed to validate the functionality of the software based on the specifications provided by the client before the commencement of the project. It involves various techniques such as:
Error Guessing
Graphical Approach to Testing
Equivalence Partitioning
Analysis of Boundary Values
Comparison testing
Testing in Pairs
Decision Table Testing
An Ad-hoc testing type, pair testing or buddy testing involves two individuals, who work together on the same product and machine, with an aim to generate effective test cases, quickly. To further understand the concepts of pair testing, check out our complete guide on Pair Testing.
Beta testing is a salient testing type performed after the completion of alpha testing. It can be considered a form of external user acceptance testing, during which a version of the software, known as a beta version, is released to a limited audience to be tested for accessibility, usability, reliability, functionality, and more.
Performed at the start of the project, agile testing, is an important software testing technique that follows the principles of agile software development. It is a progressive and dynamic testing type that has a quick and easy testing process. Agile testing unites the development and testing team together and enables them to evaluate the software product for its quality, effectiveness, and more.
Monkey Testing or Random Testing is used to test software applications by providing random inputs. It is an automated test that is conducted without any specific test in mind and is usually implemented as random, automated unit tests. It lists the system's reliability and performance and prevents system crashes after its delivery.
Requirements based testing is a type of testing approach which creates test cases and conditions based on the data obtained from requirements. Check out our complete article to learn how requirement testing helps in improving the quality of requirements asked of the software product.
Build Verification Test (BVT) is a set of tests that is executed on every new software build to assess and verify its readiness to face off & undergo through more thorough & rigorous testing procedures.
Few of its important features are:
Executed on every new build.
Test cases are of shorter duration
Automation is preferred to execute BVT cases
A preliminary test performed over the initial build of the software, Smoke Testing verifies the stability & readiness of the build, to prevent system crashes and failure during further testing. It is termed as a build verification testing, as it is primarily used to reject software build(s) and declare it unstable for further testing, at first sight.
Ad-hoc testing is an informal test that is performed randomly, without any plans or strategies, with the intention to break the software system. Compared to traditional testing, this is a beneficial test that helps the team to find the majority of defects, as it uses various innovative methods to test the software.
System Testing and Acceptance Testing, are forms of dynamic testing, used by the team to validate all the pre-defined requirements in the software product. To further understand the concepts of both System & Acceptance Testing, check out our detailed comparison of the two.
Gray Box Testing, which is also known as translucent testing, acts as a bridge between the black-box and white-box testing. It is an important test that provides a powerful approach to test the software product externally based on its internal working.
Orthogonal Array Testing is a black-box testing method that allows maximum test coverage, where the number of test cases is less as compared to data. Also abbreviated as OATS, it is a statistical and systematic way of testing that makes provision for the representative depiction of all data combinations.
Delta testing is a type of software testing that is used by testers to evaluate a product by partially releasing it. It does not require maintaining the record of expected results and is implemented by elaborating a test plan, which is further led to the designing of various test suites.
Big Bang Integration Testing is an integration testing strategy, wherein all units are linked at once, which results in a complete and efficient system. In this type of integration testing all the components, as well as the modules of the software, are integrated simultaneously, after which everything is tested as a whole.