Assignment on Test Automation

Software is becoming more and more complex day by day. As most of the things are moving online, removing bugs from the software is becoming very important. In some cases, a simple bug can cause huge financial losses. As software’s are becoming huge and with the new development and release cycles many new features or extensions to the previous ones are shipped in a single cycle, manual testing is becoming redundant now as there are so many little things like buttons, links, accordions, etc. This has made way for automated testing in software’s which is now a must in the release cycle of software. Many different approaches are currently used in software testing. The most common is UI testing which simulates the behavior of a user using clicks etc. in a UI and then validates if the program is behaving expectedly. The other most common approach is API driven testing in which usually the UI is bypassed and only the API of any software is testing.

The most growing trend in testing in the use of unit testing frameworks which tries to decouple the code into small chunks that are decoupled from each other and can be tested separately. Test cases describe the tests that run which verify the expected behavior of the software. The most common unit testing frameworks which are being used are JUnit and NUnit etc. Unit testing has become one of the integral parts of agile software development and it is known as test-driven development. Test cases are written before writing the code keeping in mind the expected behavior of the software and on each release or development cycle unit tests are designed to run automatically before the deployment in any continuous integration and continuous delivery (CI/CD) pipeline. One of the most recent trends in test automation is the use of machine learning (ML) and artificial intelligence (AI).

These fields are shaping the way test automation was used. One of the most important areas where machine learning and artificial intelligence are making way is in visual testing. Visual testing deals with verifying if the UI is appearing correctly to the user. ML-based visual validation tools would recognize the issues that would be missed by any human tester. ML-based techniques can also quantify which of test cases are more important than others using test coverage and other techniques. Hence the more important test cases are run more frequently than others. One of the most recent uses of AI in test automation is the use of spiders. Spidering tools are used to crawl websites, spidering AI tools also take screenshots along the way, record response times among many other things they do and ML model is trained over time according to this dataset that is being collected.

Whenever there is an anomaly, it flags it as a potential issue and software developers can then verify. AI/ML-based techniques are also used to make tests more reliable. AI/ML testing tools can learn the application and relationship between different models and classes over time and whenever there are any changes in the code, these testing tools can modify the test so that they do not fail due to slight oversight by developers.

2). Testing: Testing is an examination led to furnish partners with data about the nature of a product item or administration under test. Testing can likewise give a goal, autonomous perspective on a product to permit a business to acknowledge as well as comprehend the dangers of software usage. Test strategies incorporate a way toward executing a program or application with a plan of discovering programming bugs as well as checking that the product item is fit for use. Testing includes the execution of a product segment or framework part to assess at least one property of intrigue.

There are different types of testing;

·         Fuzz testing

·         Stress testing

The Fuzz testing is also known as the fuzzing which is the testing g techniques and its input is unexpected which is invalid with random data for software system as well as its also check exception of discovery security of coding errors. The Fuzz testing could also be automated technique of testing which is the testing process of entail by the disturbed along with the randomized method which might be very difficult and it’s also determined through the rational methods of testings. The process of the fuzz testing along with the application of the software is also monitored by the different bugs along with the glitches and crashes which is related to the input data.

Characteristics of Fuzz testing: The fuzz testing also provides the very effective results which are used for the Beta testing, like the Black box testing, and with different debugging methods

·         To determine defects Fuzz testing the cost-effective techniques

·         To check vulnerabilities for the software application the fuzz testing is also used.

Stress testing: Out of various execution testing strategies, the one of best and the most effective strategies is stress testing.  Stress Testing is additionally named as continuance testing. Stress Testing additionally has an eye on whether a framework unmistakably characterizes blunder a board successfully under substantial burden conditions. A vast majority of testing is created to assesses a mistake in typical working conditions yet an essential capacity of stress testing is that it even test the dependability of framework past an ordinary working point as well as it looks at that how a framework functioned in programming building, thusly if an ordinary working conditions go strange like if traffic going ahead site goes past as far as possible. Test cases describe the tests that run which verify the expected behavior of the software. Test cases are written before writing the code keeping in mind the expected behavior of the software and on each release or development cycle unit tests are designed to run automatically before the deployment in any continuous integration and continuous delivery pipeline. There are several types of practices of stress testing which can be used to test the stress in the automated machines. In this section, it is provided the stress testing types for the automation which are given below.

Types of Stress testing

There are the following main types of testing;

·         Distributed Stress testing: The distributed stress testing is very significant testing for the automation that allows the testing team to impressionist a similar kind of behavior at different times against the environment of the automated machines. In this technique, it is observed and tried to check the load on the automated machine that where the bugs and errors may occur that can cause of failure of the machine.

·         Exploratory Stress testing: It is also a type of stress testing that can also be used to test the stress on the automated machines or the robotics even it is also used to test the load on the software or machine and check the functionality of the machine and software. It is the technique of testing in which test cases are not created before performing the tests on the machines.

·         Application Stress testing: The application stress testing for the automation which is used to test the stability as well as reliability of the system or machine to identify the effective bugs and errors in the application build in the critical condition.

·         Transactional Stress testing: Transactional stress testing is also the type of stress testing in which the main focus of performing testing the workability capability or capability of the functionality of automated machines at the time of the transactional level by inserting load is tested. If the automated machine will be capable to handle the maximum load then it will be referred to perform other testings and then the product will be ready to be implemented in the industry.

The need for Stress testing: The stress testing is mainly used to overcome a burden in several time for the online sites which face the spikes in the different traffic and especially it is going on several sales of sites. It is also highly used for the advertising of a blog where different leading of the newspaper along with the site witnessed has surged in the traffic. Stress testing is valuable to determine the system which works correctly in abnormal conditions.

3). Quality assurance: Quality assurance is focused on the providing for confidence for the quality requirements which are fulfilled. Quality assurance is responsibility where its mission is quality assurance department and it’s providing the efficient and effective system for the quality assurance as well as counsel for operational units. The department of quality assurance should also manage through eth adequate number which is adequately and dedicated the trained personnel by the developed interpersonal skills. The system which is put and place to track the global affiliation for the specific quality document as well as it’s maintain the up to date for the inventory of the effective documents. Quality assurance is a procedure which guarantees that all product designing procedures, strategies, exercises as well as work things are checked plus consent against a characterized model. These characterized guidelines could be one or a blend of any like ISO 9000, CMMI model, ISO15504, etc. QA joins all product improvement forms beginning from characterizing prerequisites to coding till discharge. Its prime objective is to guarantee quality.

Quality Assurance plan: QA plan contains a methodology, systems, as well as apparatuses that are utilized to ensure that an item or administration lines up with a necessities characterized in a SRS(software requirement specification).The plan distinguishes a QA obligations of a group, records a zones that should be evaluated as well as examined. It additionally recognizes a QA work items.

Quality Assurance (QA) is characterized as an action to guarantee that an association is giving a most ideal item or administration to clients. QA focused to improving procedures to convey Quality Products to a client. An association needs to guarantee, that procedures are proficient plus viable according to a quality benchmarks characterized for programming items. Quality Assurance is prominently known as QA Testing

Impact on Quality Assurance: In what way the work is done there is the great impact on this and it a past decade it can also retrieve the several mistakes through the additional items in late process. It would also no longer by the various technologies which failed and it considers for the different items and at the beginning of the project it could also have the great cost and so on later. The ZeuZ test automation is agreed by the Neil with the 35 years of experiences in the Quality assurance along with the testing for software which is providing the coaching, consulting and the financial ulities of the government along with the telecommunication industries.