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  • Separate Action from Assertion in Unit Tests

    - by DigitalMoss
    Setup Many years ago I took to a style of unit testing that I have come to like a lot. In short, it uses a base class to separate out the Arrangement, Action and Assertion of the test into separate method calls. You do this by defining method calls in [Setup]/[TestInitialize] that will be called before each test run. [Setup] public void Setup() { before_each(); //arrangement because(); //action } This base class usually includes the [TearDown] call as well for when you are using this setup for Integration tests. [TearDown] public void Cleanup() { after_each(); } This often breaks out into a structure where the test classes inherit from a series of Given classes that put together the setup (i.e. GivenFoo : GivenBar : WhenDoingBazz) with the Assertions being one line tests with a descriptive name of what they are covering [Test] public void ThenBuzzSouldBeTrue() { Assert.IsTrue(result.Buzz); } The Problem There are very few tests that wrap around a single action so you end up with lots of classes so recently I have taken to defining the action in a series of methods within the test class itself: [Test] public void ThenBuzzSouldBeTrue() { because_an_action_was_taken(); Assert.IsTrue(result.Buzz); } private void because_an_action_was_taken() { //perform action here } This results in several "action" methods within the test class but allows grouping of similar tests (i.e. class == WhenTestingDifferentWaysToSetBuzz) The Question Does someone else have a better way of separating out the three 'A's of testing? Readability of tests is important to me so I would prefer that, when a test fails, that the very naming structure of the tests communicate what has failed. If someone can read the Inheritance structure of the tests and have a good idea why the test might be failing then I feel it adds a lot of value to the tests (i.e. GivenClient : GivenUser : WhenModifyingUserPermissions : ThenReadAccessShouldBeTrue). I am aware of Acceptance Testing but this is more on a Unit (or series of units) level with boundary layers mocked. EDIT : My question is asking if there is an event or other method for executing a block of code before individual tests (something that could be applied to specific sets of tests without it being applied to all tests within a class like [Setup] currently does. Barring the existence of this event, which I am fairly certain doesn't exist, is there another method for accomplishing the same thing? Using [Setup] for every case presents a problem either way you go. Something like [Action("Category")] (a setup method that applied to specific tests within the class) would be nice but I can't find any way of doing this.

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  • Should developers be involved in testing phases?

    - by LudoMC
    Hi, we are using a classical V-shaped development process. We then have requirements, architecture, design, implementation, integration tests, system tests and acceptance. Testers are preparing test cases during the first phases of the project. The issue is that, due to resources issues (*), test phases are too long and are often shortened due to time constraints (you know project managers... ;)). So my question is simple: should developers be involved in the tests phases and isn't it too 'dangerous'. I'm afraid it will give the project managers a false feeling of better quality as the work has been done but would the added man.days be of any value? I'm not really confident of developers doing tests (no offense here but we all know it's quite hard to break in a few clicks what you have made in severals days). Thanks for sharing your thoughts. (*) For obscure reasons, increasing the number of testers is not an option as of today. (Just upfront, it's not a duplicate of Should programmers help testers in designing tests? which talks about test preparation and not test execution, where we avoid the implication of developers)

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  • DRY, string, and unit testing

    - by Rodrigue
    I have a recurring question when writing unit tests for code that involves constant string values. Let's take an example of a method/function that does some processing and returns a string containing a pre-defined constant. In python, that would be something like: STRING_TEMPLATE = "/some/constant/string/with/%s/that/needs/interpolation/" def process(some_param): # We do some meaningful work that gives us a value result = _some_meaningful_action() return STRING_TEMPLATE % result If I want to unit test process, one of my tests will check the return value. This is where I wonder what the best solution is. In my unit test, I can: apply DRY and use the already defined constant repeat myself and rewrite the entire string def test_foo_should_return_correct_url(): string_result = process() # Applying DRY and using the already defined constant assert STRING_TEMPLATE % "1234" == string_result # Repeating myself, repeating myself assert "/some/constant/string/with/1234/that/needs/interpolation/" == url The advantage I see in the former is that my test will break if I put the wrong string value in my constant. The inconvenient is that I may be rewriting the same string over and over again across different unit tests.

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  • Testing my model for hybrid scheduling in Embedded Systems

    - by markusian
    I am working on a project for school, where I have to analyze the performances of a few fixed-priority servers algorithms (polling server, deferrable server, priority exchange) using a simulator in the case of hybrid scheduling, where we have both hard periodic tasks and soft aperiodic tasks. In my model I consider that: the hard tasks have a period equal to their deadline, with a known worst case execution time (wcet). The actual execution time could be smaller than the wcet. the soft tasks have a known wcet and random interarrival times. The actual execution time could be smaller than the wcet. In order to test those algorithms I need realistic case studies. For this reason I'm digging in the scientific literature but I am facing different problems: Sometimes I find a list of hard tasks with wcet, but it is not specified how the soft tasks parameters are found. Given the wcet of a task, how can I model its actual execution time? This means, what random distribution should I use considering the wcet? How can I model the random interarrival times of soft aperiodic tasks?

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  • Unit testing multiple conditions in an IF statement

    - by bwalk2895
    I have a chunk of code that looks something like this: function bool PassesBusinessRules() { bool meetsBusinessRules = false; if (PassesBusinessRule1 && PassesBusinessRule2 && PassesBusinessRule3) { meetsBusinessRules= true; } return meetsBusinessRules; } I believe there should be four unit tests for this particular function. Three to test each of the conditions in the if statement and ensure it returns false. And another test that makes sure the function returns true. Question: Should there actually be ten unit tests instead? Nine that checks each of the possible failure paths. IE: False False False False False True False True False And so on for each possible combination. I think that is overkill, but some of the other members on my team do not. The way I look at it is if BusinessRule1 fails then it should always return false, it doesn't matter if it was checked first or last.

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  • Web Form Testing [closed]

    - by Frank G.
    I created a application for a client that is along the lines of a ticket tracking system. I wanted to know if anyone know of software that could beta test the web forms. Well I am looking for something that could automatically populate/fill whatever forms are on the web page with generic data. The purpose of this is to just randomly populate data and see if I get any errors on the page when submitted plus to also see how validation for the form functions. Does anyone know of anything that could do this?

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  • Isolating test data in acceptance tests

    - by Matt Phillips
    I'm looking for guidance on how to keep my acceptance tests isolated. Right now the issue I'm having with being able to run the tests in parallel is the database records that are manipulated in the tests. I've written helpers that take care of doing inserts and deletes before tests are executed, to make sure the state is correct. But now I can't run them in parallel against the same database without uniquely generating the test data fields for each test. For example. Testing creating a row i'll delete everything where column A = foo and column B = bar Then I'll navigate through the UI in the test and create a record with column A = foo and column B = bar. Testing that a duplicate row is not allowed to be created. I'll insert a row with column A = foo and column B = bar and then use the UI to try and do the exact same thing. This will display an error message in the UI as expected. These tests work perfectly when ran separately and serially. But I can't run them at the same time for fear that one will create or delete a record the other is expecting. Any tips on how to structure them better so they can be run in parallel?

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  • Who should write the test plan?

    - by Cheng Kiang
    Hi, I am in the in-house development team of my company, and we develop our company's web sites according to the requirements of the marketing team. Before releasing the site to them for acceptance testing, we were requested to give them a test plan to follow. However, the development team feels that since the requirements came from the requestors, they would have the best knowledge of what to test, what to lookout for, how things should behave etc and a test plan is thus not required. We are always in an argument over this, and developers find it a waste of time to write down things like:- Click on button A. Key in XYZ in the form field and click button B. You should see behaviour C. which we have to repeat for each requirement/feature requested. This is basically rephrasing what's already in the requirements document. We are moving towards using an Agile approach for managing our projects and this is also requested at the end of each iteration. Unit and integration testing aside, who should be the one to come up with the end user acceptance test plan? Should it be the reqestors or the developers? Many thanks in advance. Regards CK

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  • Automated Acceptance tests under specific contraints

    - by HH_
    This is a follow up to my previous question, which was a bit general, so I'll be asking for a more precise situation. I want to automate acceptance testing on a web application. Briefly, this application allows the user to create contracts for subscribers with the two constraints: You cannot create more than one contract for a subscriber. Once a contract is created, it cannot be deleted (from the UI) Let's say TestCreate is a test case with tests for the normal creation of a contract. The constraints have introduced complexities to the testing process, mainly dependencies between test cases and test executions. Before we run TestCreate we need to make sure that the application is in a suitable state (the subscriber has no contract) If we run TestCreate twice, the second run will fail since the state of the application will have changed. So we need to revert back to the initial state (i.e. delete the contract), which is impossible to do from the UI. More generally, after each test case we should guarantee that the state is reverted back. And since, in this case, it is impossible to do it from the UI, how do you handle this? Possible solution: I thought about doing a backup of the database in the state that I desire, and after each test case, run a script which deletes the db and restores the backup. However, I find that to be too heavy to do for each single test case. In addition, what if some information are stored in files? or in multiple or unaccessible databases? My question: In this situation, what would an experienced tester do to write automated and maintanable tests. Thank you. More info: I'm trying to integrate tests into a BDD framework, which I find to be a neat solution for test documentation and communication, but it does not solve this particular problem (it even makes it harder)

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  • Writing Acceptance test cases

    - by HH_
    We are integrating a testing process in our SCRUM process. My new role is to write acceptance tests of our web applications in order to automate them later. I have read a lot about how tests cases should be written, but none gave me practical advices to write test cases for complex web applications, and instead they threw conflicting principles that I found hard to apply: Test cases should be short: Take the example of a CMS. Short test cases are easy to maintain and to identify the inputs and outputs. But what if I want to test a long series of operations (eg. adding a document, sending a notification to another user, the other user replies, the document changes state, the user gets a notice). It rather seems to me that test cases should represent complete scenarios. But I can see how this will produce overtly complex test documents. Tests should identify inputs and outputs:: What if I have a long form with many interacting fields, with different behaviors. Do I write one test for everything, or one for each? Test cases should be independent: But how can I apply that if testing the upload operation requires that the connect operation is successful? And how does it apply to writing test cases? Should I write a test for each operation, but each test declares its dependencies, or should I rewrite the whole scenario for each test? Test cases should be lightly-documented: This principles is specific to Agile projects. So do you have any advice on how to implement this principle? Although I thought that writing acceptance test cases was going to be simple, I found myself overwhelmed by every decision I had to make (FYI: I am a developer and not a professional tester). So my main question is: What steps or advices do you have in order to write maintainable acceptance test cases for complex applications. Thank you.

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  • Should we test all our methods?

    - by Zenzen
    So today I had a talk with my teammate about unit testing. The whole thing started when he asked me "hey, where are the tests for that class, I see only one?". The whole class was a manager (or a service if you prefer to call it like that) and almost all the methods were simply delegating stuff to a DAO so it was similar to: SomeClass getSomething(parameters) { return myDao.findSomethingBySomething(parameters); } A kind of boilerplate with no logic (or at least I do not consider such simple delegation as logic) but a useful boilerplate in most cases (layer separation etc.). And we had a rather lengthy discussion whether or not I should unit test it (I think that it is worth mentioning that I did fully unit test the DAO). His main arguments being that it was not TDD (obviously) and that someone might want to see the test to check what this method does (I do not know how it could be more obvious) or that in the future someone might want to change the implementation and add new (or more like "any") logic to it (in which case I guess someone should simply test that logic). This made me think, though. Should we strive for the highest test coverage %? Or is it simply an art for art's sake then? I simply do not see any reason behind testing things like: getters and setters (unless they actually have some logic in them) "boilerplate" code Obviously a test for such a method (with mocks) would take me less than a minute but I guess that is still time wasted and a millisecond longer for every CI. Are there any rational/not "flammable" reasons to why one should test every single (or as many as he can) line of code?

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  • Resurrecting a 5,000 line test plan that is a decade old

    - by ale
    I am currently building a test plan for the system I am working on. The plan is 5,000 lines long and about 10 years old. The structure is like this: 1. test title precondition: some W needs to be set up, X needs to be completed action: do some Y postcondition: message saying Z is displayed 2. ... What is this type of testing called ? Is it useful ? It isn't automated.. the tests would have to be handed to some unlucky person to run through and then the results would have to be given to development. It doesn't seem efficient. Is it worth modernising this method of testing (removing tests for removed features, updating tests where different postconditions happen, ...) or would a whole different approach be more appropriate ? We plan to start unit tests but the software requires so much work to actually get 'units' to test - there are no units at present ! Thank you.

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  • Understanding how software testing works and what to test.

    - by RHaguiuda
    Intro: I've seen lots of topics here on SO about software testing and other terms I don't understand. Problem: As a beginner developer I, unfortunately, have no idea how software testing works, not even how to test a simple function. This is a shame, but thats the truth. I also hope this question can help others beginners developers too. Question: Can you help me to understand this subject a little bit more? Maybe some questions to start would help: When I develop a function, how should I test it? For example: when working with a sum function, should I test every input value possible or just some limits? How about testing functions with strings as parameters? In a big program, do I have to test every single piece of code of it? When you guys program do you test every code written? How automated test works and how can I try one? How tools for automated testing works and what they do? I`ve heard about unit testing. Can I have a brief explanation on this? What is a testing framework? If possible please post some code with examples to clarify the ideas. Any help on this topic is very welcome! Thanks.

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  • How fast are my services? Comparing basicHttpBinding and ws2007HttpBinding using the SO-Aware Test Workbench

    - by gsusx
    When working on real world WCF solutions, we become pretty aware of the performance implications of the binding and behavior configuration of WCF services. However, whether it’s a known fact the different binding and behavior configurations have direct reflections on the performance of WCF services, developers often struggle to figure out the real performance behavior of the services. We can attribute this to the lack of tools for correctly testing the performance characteristics of WCF services...(read more)

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  • SO-Aware at the Atlanta Connected Systems User Group

    - by gsusx
    Today my colleague Don Demsak will be presenting a session about WCF management, testing and governance using SO-Aware and the SO-Aware Test Workbench at the Connected Systems User Group in Atlanta . Don is a very engaging speaker and has prepared some very cool demos based on lessons of real world WCF solutions. If you are in the ATL area and interested in WCF, AppFabric, BizTalk you should definitely swing by Don’s session . Don’t forget to heckle him a bit (you can blame it for it ;) )...(read more)

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  • When you should and should not use the 'new' keyword?

    - by skizeey
    I watched a Google Tech Talk presentation on Unit Testing, given by Misko Hevery, and he said to avoid using the new keyword in business logic code. I wrote a program, and I did end up using the new keyword here and there, but they were mostly for instantiating objects that hold data (ie, they didn't have any functions or methods). I'm wondering, did I do something wrong when I used the new keyword for my program. And where can we break that 'rule'?

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  • Survey: how do you unit test your T-SQL?

    - by Alexander Kuznetsov
    How do you unit test your T-SQL? Which libraries/tools do you use? What percentage of your code is covered by unit tests and how do you measure it? Do you think the time and effort which you invested in your unit testing harness has paid off or not? Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!...(read more)

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  • Junit: splitting integration test and Unit tests.

    - by jeff porter
    Hello all, I've inherited a load of Junit test, but these tests (apart from most not working) are a mixture of actual unit test and integration tests (requiring external systems, db etc). So I'm trying to think of a way to actually separate them out, so that I can run the unit test nice and quickly and the integration tests after that. The options are.. 1: Split them into separate directories. 2: Move to Junit4 and annotate the classes to separate them. 3: Use a file naming convention to tell what a class is , i.e. AdapterATest and AdapterAIntergrationTest. 3 has the issue that Eclipse has the option to "Run all tests in the selected project/package or folder". So it would make it very hard to just run the integration tests. 2: runs the risk that developers might start writing integration tests in unit test classes and it just gets messy. 1: Seems like the neatest solution, but my gut says there must be a better solution out there. So that is my question, how do you lot break apart integration tests and proper unit tests?

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  • Is there a real difference between dynamic analysis and testing?

    - by user970696
    Often testing is regarded as a dynamic analysis of a software. Yet while writing my thesis, the reviewer noted to me that dynamic analysis is about analyzing the program behind the scenes - e.g. profiling and that it is not the same as testing because its "analysis" which looks inside and observes. I know that "static analysis" is not testing, should we then separate this "dynamic analysis" also from testing? Some books do refer to dynamic analysis in this sense. I would maybe say that testing is a one mean of dynamic analysis?

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  • Test Doubles : Do they go in "source packages" or "test packages"?

    - by sbrattla
    I've got a couple of data access objects (DefaultPersonServices.class, DefaultAddressServices.class) which is responsible for various CRUD operations in a database. A few different classes use these services, but as the services requires that a connection is established with a database I can't really use them in unit tests as they take too long. Thus, I'd like to create a test doubles for them and simply do FakePersonServices.class and FakeAddressService.class implementations which I can use throughout testing. Now, this is all good (I assume)...but my question relates to where I put the test doubles. Should I keep them along with the default implementations (aka "real" implementations) or should I keep them in a corresponding test package. The default implementations are found in Source Packages : com.company.data.services. Should I keep the test doubles here too, or should the test doubles rather be in Test Packages : com.company.data.services?

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  • What Are Some Tips For Writing A Large Number of Unit Tests?

    - by joshin4colours
    I've recently been tasked with testing some COM objects of the desktop app I work on. What this means in practice is writing a large number (100) unit tests to test different but related methods and objects. While the unit tests themselves are fairly straight forward (usually one or two Assert()-type checks per test), I'm struggling to figure out the best way to write these tests in a coherent, organized manner. What I have found is that copy and Paste coding should be avoided. It creates more problems than it's worth, and it's even worse than copy-and-paste code in production code because test code has to be more frequently updated and modified. I'm leaning toward trying an OO-approach using but again, the sheer number makes even this approach daunting from an organizational standpoint due to concern with maintenance. It also doesn't help that the tests are currently written in C++, which adds some complexity with memory management issues. Any thoughts or suggestions?

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  • If you should only have one assertion per test; how to test multiple inputs?

    - by speg
    I'm trying to build up some test cases, and have read that you should try and limit the number of assertions per test case. So my question is, what is the best way to go about testing a function w/ multiple inputs. For example, I have a function that parses a string from the user and returns the number of minutes. The string can be in the form "5w6h2d1m", where w, h, d, m correspond to the number of weeks, hours, days, and minutes. If I wanted to follow the '1 assertion per test rule' I'd have to make multiple tests for each variation of input? That seems silly so instead I just have something like: self.assertEqual(parse_date('5m'), 5) self.assertEqual(parse_date('5h'), 300) self.assertEqual(parse_date('5d') ,7200) self.assertEqual(parse_date('1d4h20m'), 1700) In the one test case. Is there a better way?

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  • How to write automated tests for SQL queries?

    - by James
    The current system we are adopting at work is to write some extremely complex queries which perform multiple calculations and have multiple joins / sub-queries. I don't think I am experienced enough to say if this is correct or not so I am agreeing and attempting to function with this system as it has clear benefits. The problem we are having at the moment is that the person writing the queries makes a lot of mistakes and assumes everything is correct. We have now assigned a tester to analyse all of the queries but this still proves extremely time consuming and stressful. I would like to know how we could create an automated procedure (without specifically writing it with code if possible as I can work out how to do that the long way) to verify a set of 10+ different inputs, verify the output data and say if the calculations are correct. I know I could write a script using specific data in the database and create a script using c# (the db is SQL Server) and verify all the values coming out but I would like to know what the official "standard" is as my experience is lacking in this area and I would like to improve. I am happy to add more information if required, add a comment if necessary. Thank you. Edit: I am using c#

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  • What does well written, readable tests look like?

    - by Industrial
    Doing unit testing for the first time at a large scale, I find myself writing a lot of repetitive unit tests for my business logic. Sure, to create complete test suites I need to test all possibilities but readability feels compromised doing what I do - as shown in the psuedocode below. How would a well written, readable test suit look like? describe "UserEntity" -> it "valid name validates" ... it "invalid name doesnt validate" ... it "valid list of followers validate" ..

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  • SQL University: What and why of database testing

    - by Mladen Prajdic
    This is a post for a great idea called SQL University started by Jorge Segarra also famously known as SqlChicken on Twitter. It’s a collection of blog posts on different database related topics contributed by several smart people all over the world. So this week is mine and we’ll be talking about database testing and refactoring. In 3 posts we’ll cover: SQLU part 1 - What and why of database testing SQLU part 2 - What and why of database refactoring SQLU part 2 – Tools of the trade With that out of the way let us sharpen our pencils and get going. Why test a database The sad state of the industry today is that there is very little emphasis on testing in general. Test driven development is still a small niche of the programming world while refactoring is even smaller. The cause of this is the inability of developers to convince themselves and their managers that writing tests is beneficial. At the moment they are mostly viewed as waste of time. This is because the average person (let’s not fool ourselves, we’re all average) is unable to think about lower future costs in relation to little more current work. It’s orders of magnitude easier to know about the current costs in relation to current amount of work. That’s why programmers convince themselves testing is a waste of time. However we have to ask ourselves what tests are really about? Maybe finding bugs? No, not really. If we introduce bugs, we’re likely to write test around those bugs too. But yes we can find some bugs with tests. The main point of tests is to have reproducible repeatability in our systems. By having a code base largely covered by tests we can know with better certainty what a small code change can break in other parts of the system. By having repeatability we can make code changes with confidence, since we know we’ll see what breaks in other tests. And here comes the inability to estimate future costs. By spending just a few more hours writing those tests we’d know instantly what broke where. Imagine we fix a reported bug. We check-in the code, deploy it and the users are happy. Until we get a call 2 weeks later about a certain monthly process has stopped working. What we don’t know is that this process was developed by a long gone coworker and for some reason it relied on that same bug we’ve happily fixed. There’s no way we could’ve known that. We say OK and go in and fix the monthly process. But what we have no clue about is that there’s this ETL job that relied on data from that monthly process. Now that we’ve fixed the process it’s giving unexpected (yet correct since we fixed it) data to the ETL job. So we have to fix that too. But there’s this part of the app we coded that relies on data from that exact ETL job. And just like that we enter the “Loop of maintenance horror”. With the loop eventually comes blame. Here’s a nice tip for all developers and DBAs out there: If you make a mistake man up and admit to it. All of the above is valid for any kind of software development. Keeping this in mind the database is nothing other than just a part of the application. But a big part! One reason why testing a database is even more important than testing an application is that one database is usually accessed from multiple applications and processes. This makes it the central and vital part of the enterprise software infrastructure. Knowing all this can we really afford not to have tests? What to test in a database Now that we’ve decided we’ll dive into this testing thing we have to ask ourselves what needs to be tested? The short answer is: everything. The long answer is: read on! There are 2 main ways of doing tests: Black box and White box testing. Black box testing means we have no idea how the system internals are built and we only have access to it’s inputs and outputs. With it we test that the internal changes to the system haven’t caused the input/output behavior of the system to change. The most important thing to test here are the edge conditions. It’s where most programs break. Having good edge condition tests we can be more confident that the systems changes won’t break. White box testing has the full knowledge of the system internals. With it we test the internal system changes, different states of the application, etc… White and Black box tests should be complementary to each other as they are very much interconnected. Testing database routines includes testing stored procedures, views, user defined functions and anything you use to access the data with. Database routines are your input/output interface to the database system. They count as black box testing. We test then for 2 things: Data and schema. When testing schema we only care about the columns and the data types they’re returning. After all the schema is the contract to the out side systems. If it changes we usually have to change the applications accessing it. One helpful T-SQL command when doing schema tests is SET FMTONLY ON. It tells the SQL Server to return only empty results sets. This speeds up tests because it doesn’t return any data to the client. After we’ve validated the schema we have to test the returned data. There no other way to do this but to have expected data known before the tests executes and comparing that data to the database routine output. Testing Authentication and Authorization helps us validate who has access to the SQL Server box (Authentication) and who has access to certain database objects (Authorization). For desktop applications and windows authentication this works well. But the biggest problem here are web apps. They usually connect to the database as a single user. Please ensure that that user is not SA or an account with admin privileges. That is just bad. Load testing ensures us that our database can handle peak loads. One often overlooked tool for load testing is Microsoft’s OSTRESS tool. It’s part of RML utilities (x86, x64) for SQL Server and can help determine if our database server can handle loads like 100 simultaneous users each doing 10 requests per second. SQL Profiler can also help us here by looking at why certain queries are slow and what to do to fix them.   One particular problem to think about is how to begin testing existing databases. First thing we have to do is to get to know those databases. We can’t test something when we don’t know how it works. To do this we have to talk to the users of the applications accessing the database, run SQL Profiler to see what queries are being run, use existing documentation to decipher all the object relationships, etc… The way to approach this is to choose one part of the database (say a logical grouping of tables that go together) and filter our traces accordingly. Once we’ve done that we move on to the next grouping and so on until we’ve covered the whole database. Then we move on to the next one. Database Testing is a topic that we can spent many hours discussing but let this be a nice intro to the world of database testing. See you in the next post.

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