Systems testing is often performed against the whole platform, and treats the environment as a black box. system integration testing however, acts upon a subset of the whole system, and may mock other platforms, interact with databases, network sockets etc to evoke appropriate responses from the parts being validated.
The objectives of system testing is to ...
As already mentioned in your TechBeacon article, teams indeed often spend too much at the top of the test automation pyramid. In general, the pyramid is a good rule of thumb, but (as always) it depends on the project. Many systems are well designed so that the GUI is just some glue between the user and the underlying APIs, which is why such systems often don'...
Here are some fun examples:
Doors - https://youtu.be/VPSE13NLPnM
Sink - https://youtu.be/RMYRTJuY8Ss
Dryer - https://youtu.be/ajUB4-m-y2o
Door Lock - https://www.youtube.com/watch?v=0GypdsJulKE
I'll add more as I find them
I am working under the assumption that you would be familiar with the language the tools are being written in.
If the team you are on already is writing unit tests a good place to start might be with them. Talk to the developers that are writing the unit tests and get an idea for how the underlying code is working. In the process of doing this start ...
It is often risky and problematic to test the integration between your system and external systems that you do not control. For example, if your system performs financial transactions, it is daunting to test whether you perform those transactions correctly. Sometimes there are "test" versions of the external systems available for integration testing. If ...
In your comment you asked
Lets say we have a system C which is combination of A and B (A + B = C). Now i can check perform Integration tests for A, Integration tests for B. After this i need to perform System tests on C which is the result(whole system). Where exactly will SIT come in here?
In testing C, but I believe you won't learn much from short ...
What do you think?
Should you eat one meal at a time and 2 to 3 meals a day?
should you eat sufficient meals for 30 days at once and enjoy the remaining 29 days?
Keep things as simple as possible! Combining everything and testing it all at once may make things too complicated to handle...
You have some choices here. You can go with formal definitions like the ISTQB definition, or you can treat the definitions the way your organization handles them. Software testing is a field where definitions tend to vary depending on the understanding of the team and how they work.
That said, in my experience interface testing can be one of two things:
Couldn't I just run the (in this case small) program then and test it manually?
Yes, that can be considered to be an integration test. The question is how often do you expect that test to be repeated, and how much effort will it take to automate the process. If you think that test needs 5 minutes, and automating it takes 5 days, then you can make a lot of ...
TL;DR: Yes, but keep in mind that Selenium is only part of the integration test tool chain.
If we define integration testing as something like this:
Integration testing is the phase in software testing in which individual
software modules are combined and tested as a group.
Then Selenium is only part of the integration testing phase, since it does not ...
Consider test pyramid. Using Pareto principle (also known as 80/20 rule), you can get 80% of benefits from testing by focusing on unit test with 20% of the effort. And 80% benefit of the remainder if you focus on API/service test.
So of course you need "some" UI-level test, 96% of effort should be lower: 80% in unit and 16% (80% of the remaining 20%) in API/...
Use the test pyramid as mentioned by Peter Masiar.
My contribution here is help answer the question of exactly how to decide the 20% and 80% figures that Peter mentions.
My approach to this is to make sure that the UI testing focuses on the functionality of the UI itself. In other words, from a user perspective the text and links are correctly displayed ...
In a nutshell,
Big bang testing involves real software components after each component has been finished; all of the components have never been tested before.
Top down testing involves lower level stubs software components. Low as in abstract level, the more abstract a software concept / component is the higher level it has.
You are ...
In my vocabulary system testing would be testing one complete product ( http://en.wikipedia.org/wiki/System_testing ) and system integration testing would be testing combination of products ( http://en.wikipedia.org/wiki/System_integration_testing ). As always, it's good to make sure others are using terms in the same way and in an interview point out that ...
As others have said, if there isn't a consistent definition of what constitutes top priority across all teams, there will be disagreement over what constitutes a top priority bug.
That said, I have a few thoughts to offer:
Will this bug break core functionality if it is introduced to production? If the answer is "yes" then priority should be higher.
It sounds as if you want to avoid giving QA a build that falls apart right away. One way to address this is to add a smoke test to the development cycle. There are other SQA questions that cover smoke testing, e.g. Smoke testing by Dev team. I won't try to repeat that information here.
One goal of smoke-testing is to encourage developers to deliver QA ...
Some people distinguish between
integration (some parts are used for real, some are mocked) and
system/end-to-end testing (where is no mocking at all).
For other people, system, integration , and end-to-end are synonyms.
Usually end-to-end testing uses just basic scenarios (Pareto principle: 20% of use cases cover 80% of functionality), and unit testing ...
Let's start from your initial mandate. "Automated testing" can be a pretty vast land to explore. Leave the unit tests as they are for now and focus on the doubts you are having for integration tests. I presume here that you have none.
By looking at Wikipedia's definition of "integration testing":
Integration testing (sometimes called integration and
The one and only correct answer to this question do not exist. It depends on many factors. It depends on the software development life cycle model, on the team and developer to tester ratio and so on.
There are 5 main testing levels that we can highlight:
Unit testing - It is basically done by the developers to make sure that their code is working fine. ...
Seems that you want to have a tool which can translate requirements/test cases (written by business people with no experience in programming) into executable code.
In our practice FitNesse is not that tool. We started with FitNesse, and keep maintaining existing tests and even adding new when feasible, but these tests are written by developers, not business ...
You need to take a step back and look at the whole picture- why did the dev lead objected to the P0 setting ?
It is not because "it is not in production" (well, it is but there is a higher level reason for that) but because the company doesn't have an agreed and accepted definition for priority levels across all teams.
I agree with everything in Dan's answer. There are a few options on how to automate testing of the web service layer. You can use gui tools such as SOAPUI or JMeter, or you can use libraries such as Rest Sharp or a java alternative. I often prefer to start with an API or library for my automation, but recently I've been having success with JMeter and ...
I am currently working on an angular app with python/selenium e2e tests. The main difference is that protractor offers not just selection logic (model, binding, etc.) but also implicitly waits for angular page load, url changes, model updates.
To make up for these missing pieces. We had to have a fair amount of explicit waits.
I have not used it personally,...
Hopefully your interviewer understood that there are no universal definitions for those terms.
Here is one interpretation. A system test exercises an entire system, focusing on common workflows rather than edge conditions. Sometimes people refer to individual parts of a system test as an end-to-end test. An integration test exercises interactions between ...
You can try someting like,
Open Base URL.
Go to Login page.
Enter the username and password.
Login. Lands on the Home Page/Dashboard/Whatever.
Goes to home page (User still logged in).
Click Tab1. Perform actions to be tested.
Click Tab2. Perform actions to be tested.
Click TabN. Perform actions to ...
I'll assume the question is this:
Why measure how much of the SUT's code is covered by integration tests?
and not this:
Why measure how much of the integration test code is covered?
I think you should avoid measuring code coverage for integration tests, for two reasons:
Unit tests are a much more effective way to exercise code than integration tests....
First of all, coverage isn't coverage. There're several coverage criteria, but most used are:
Function coverage – Has each function (or subroutine) in the program been called?
Statement coverage – Has each statement in the program been executed?
Branch coverage – Has each branch (also called DD-path) of each control structure (such as in if and ...
In a nutshell:
Continuous integration (CI): continuously integrate (small) software changes.
Continuous delivery (CD): continuously deliver these changes.
Continuous testing (CT): continuously test these changes.
Jenkins is just one of many servers (others are, for instance, Bamboo or Travis CI) you can use to implement CI/CD/CT.
Integration testing ...
Integration testing is about taking the units of code developed with unit testing and combine them together into the desired system. It (can) also mean testing software by including dependencies such as database, screen, communication, micro-services, etc. This is as opposed to unit testing something and mocking and stubbing out all ...
The traditional test levels (unit/integration/system/… testing) usually do not make a statement about how the technical implementation takes place. Choosing a proper test interface is almost always a trade-off in terms of robustness, maintenance effort, test coverage, and performance.
If your GUI is not too complex, I would choose option B and test against ...