Testing Concepts

Black box testing - not based on any knowledge of internal design or code. Tests are based on requirements and functionality.

White box testing - based on knowledge of the internal logic of an application's code. Tests are based on coverage of code statements, branches, paths, conditions.

Unit testing - the most 'micro' scale of testing; to test particular functions or code modules. Typically done by the programmer and not by testers, as it requires detailed knowledge of the internal program design and code. Not always easily done unless the application has a well-designed architecture with tight code; may require developing test driver modules or test harnesses.

Incremental integration testing - continuous testing of an application as new functionality is added; requires that various aspects of an application's functionality be independent enough to work separately before all parts of the program are completed, or that test drivers be developed as needed; done by programmers or by testers.

Integration testing - testing of combined parts of an application to determine if they function together correctly. The 'parts' can be code modules, individual applications, client and server applications on a network, etc. This type of testing is especially relevant to client/server and distributed systems.

Functional testing - black-box type testing geared to functional requirements of an application; this type of testing should be done by testers. This doesn't mean that the programmers shouldn't check that their code works before releasing it (which of course applies to any stage of testing.)

System testing - black-box type testing that is based on overall requirements specifications; covers all combined parts of a system.

End-to-end testing - similar to system testing; the 'macro' end of the test scale; involves testing of a complete application environment in a situation that mimics real-world use, such as interacting with a database, using network communications, or interacting with other hardware, applications, or systems if appropriate.

Sanity testing - typically an initial testing effort to determine if a new software version is performing well enough to
accept it for a major testing effort. For example, if the new software is crashing systems every 5 minutes, bogging down systems to a crawl, or destroying databases, the software may not be in a 'sane' enough condition to warrant further testing in its current state.

Regression testing - re-testing after fixes or modifications of the software or its environment. It can be difficult to determine how much re-testing is needed, especially near the end of the development cycle. Automated testing tools can be especially useful for this type of testing.

Acceptance testing - final testing based on specifications of the end-user or customer, or based on use by end-users/customers over some limited period of time.

Load testing - testing an application under heavy loads, such
as testing of a web site under a range of loads to determine at what point the system's response time degrades or fails.

Stress testing - term often used interchangeably with 'load' and 'performance' testing. Also used to describe such tests as system functional testing while under unusually heavy loads, heavy repetition of certain actions or inputs, input of large numerical values, large complex queries to a database system, etc.

Performance testing - term often used interchangeably with 'stress' and 'load' testing. Ideally 'performance' testing (and any other 'type' of testing) is defined in requirements documentation or QA or Test Plans.

Usability testing - testing for 'user-friendliness'. Clearly this is subjective, and will depend on the targeted end-user or customer. User interviews, surveys, video recording of user sessions, and other techniques can be used. Programmers and testers are usually not appropriate as usability testers.

Install/uninstall testing - testing of full, partial, or upgrade install/uninstall processes.

Recovery testing - testing how well a system recovers from crashes, hardware failures, or other catastrophic problems.

Security testing - testing how well the system protects against unauthorized internal or external access, willful damage, etc; may require sophisticated testing techniques.

Compatability testing - testing how well software performs in a particular hardware/software/operating system/network/etc. environment.

Exploratory testing - often taken to mean a creative, informal software test that is not based on formal test plans or test cases; testers may be learning the software as they test it.

Ad-hoc testing - similar to exploratory testing, but often taken to mean that the testers have significant understanding of the software before testing it.

User acceptance testing - determining if software is satisfactory to an end-user or customer.

Comparison testing - comparing software weaknesses and strengths to competing products.

Alpha testing - testing of an application when development is nearing completion; minor design changes may still be made as a result of such testing. Typically done by end-users or others, not by programmers or testers.

Beta testing - testing when development and testing are essentially completed and final bugs and problems need to be found before final release. Typically done by end-users or others, not by programmers or testers.

Mutation testing - a method for determining if a set of test data or test cases is useful, by deliberately introducing various code changes ('bugs') and retesting with the original test data/cases to determine if the 'bugs' are detected. Proper implementation requires large computational resources

Agile methodology
Agile is software development methodology. It is very Effective where Client frequently changes his requirement.Since it has more iteration so you can assure a solution That meets client’s requirement.More than one builds deployment for a project.It involves more client interaction and testing effort. There are two methods by which this methodology can be Implemented:-
1- Scrum 2- Extreme Programming
Scrum: Each iteration would called a scrum which can be a 1-2 Months. In Scrum Client priorities his requirements what He wants first. If developer did not meets all the Requirement which was being fixed for a particular scrum than rest of the development part would be transferred to The next scrum (would be delivered in the next build), Means developer can’t increase time decided for a scrum.It’s fixed.
Extreme Programming (XP): here iteration period would be Less then in scrum, which is being 2-4 weeks?Here developer priorities what to do first on the basis of Client requirement.This duration which was being fixed for a iteration, can be Increase if the some development part is still pending. The build would deploy with having all the client needs.Thus iteration period is not fixed here it can be increase.But iteration should meets all the client's requirement in This build.More attention is required for testing in XP.
There are many flavors of Agile Development:
1- Agile Manifesto 2- (XP) Extreme Programming 3- Scrum 4- Crystal 5- Context Driven Testing 6- Lean Development 7- (Rational) Unified Process


What is review efficiency?
Defects found per hour is termed as review efficiency.
(No of defects / Review Time)

What is defect Removal Efficiency?
Defect Removal Efficiency is the measure of the defects removed prior to delver of the software to the customer, expressed as a percentage of the sum of all defects detected to date.
(Defects detected during development of application)/ (Defects detected during production) * 100

Define Correction Efficiency
Defect correction efficiency is a measure of the quality of corrective work.
DCE = (B/A) * 100 where,
B = Total number of defects introduced due to the above A defect fixes.
A = Total number of defects corrected.