V-Model Testing (WEEK 12)

The meaning of V-Model is Verification and Validation model. This model has the shape of V, the V-shape model is a path of executions which is followed in a logical order. Each phase must be completed before the next phase begins.When we have test a product must be planned in parallel with the corresponding phase in V-Model. First is very important to understand the Verification and Validation techniques before we learn about V-Model. Verification testing technique is done without executing any code and Validation testing technique is done by executing the code, Verification is a static analysis technique, Validation is a dynamic analysis technique. Both techniques are par of the V-Model. There are 7 phases that take place in V-Model. Here I'm listing the seven phases of V-Model: Requirement Specification, Preliminary Design, Detailed Design, Coding, Unit Testing, Integration Testing and System Testing. We usually apply V-Model for small to medium sized projects where requirements are clearly defined and fixed. 

This design shows the sequential path of execution process of V-Model.

In this paragraph I'm covering the pros and cons of V-Model. Some of the pros are: Development and progress is very organized. This model works well for smaller and medium sized projects. Another positive factor is easy to manage as each phase of this model. Some of the cons of V-Model are : V-Model doesn't work for big and complex projects. The V-Model is not suitable if the requirements are not compatible.

To learn more about V-Model Testing please visit the website below.

Citation

http://www.softwaretestinghelp.com/what-is-stlc-v-model/

Four main functional tests to ensure software quality (WEEK 11)

These post is about a collection of four most recommend tests that a developer must have knowledge. According to info-Tech report there are four functional tests that can ensure software quality. The six functional tests are unit test, regression test, system integration, tests  and acceptance test. 

To ensure every line of code executes correctly is recommender to use Unit Testing, Unit Testing is the process of testing each unit of code  in a single component. One unit is the smallest part in a software, one unit can be a single program or function.  

To ensure every function produces its expected outcome developers have to use Functional Testing. Functional testing indicates concerns about the correct decision of functional requirements. Functional testing is like a black box testing which don't require any knowledge of the underlying implementation.

To ensure that all of the functions combine to deliver the desired business results developers have to use System testing. This type of testing executes end to end functional tests that can cross software units, in order to help become fully aware of the goals of assure that components deliver the desired business results. 

To ensure new changes did not adversely affect other parts of the system developers should use Regression testing. Regression  testing is used to ensure code modifications that have not accidentally introduced bugs into the system. When using Regression  testing is recommended to include plans from the original unit and system tests phases which can show that existing functionality behaves as planed. 

I wrote in my previous blogs posts about these four of these functional tests i really recommend you to read my previous posts because there you can find dip details about unit testing and etc.


Citation

http://searchsoftwarequality.techtarget.com/report/Six-functional-tests-to-ensure-software-quality

Mutation Testing (WEEK 10)

The term mutation in software testing stand for modifying the test code and can check the existing test and detect or reject the change mutes. Mutation in Java is an additional class with a single modification compared to the original code, for example it can be the change of a logical operator  in a if section :

if( a && b ) {...} => if( a || b ) {...}

When detecting or rejecting a modification by the existing test in marked as killing a mutant. If we have a perfect test code no class mutant can survive. Testing with mutant testing can be very expensive so that is one reason why is better to write a perfect code. There are tools to create mutants and run all the tests against each of the mutants automatically. The mutation creation is based on mutation operators that are which can show typical programming errors.

This picture shows a report which list all the mutant killed by ruing the mutation testing.

Here are some of the benefits when we apply the mutation testing:

Can show all new errors to the developer
Can detect hidden defects in the structure of code
Can increase customer satisfaction index because the product can be less buggy.
Maintaining and debugging the product can be easier.

Mutation testing is very useful way to find errors and fix them and it can speedup the proses of finding bugs in the code.

Citation

http://www.codeaffine.com/2015/10/05/what-the-heck-is-mutation-testing/