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  • Is it OK to have multiple asserts in a single unit test?

    - by Restuta
    I think that there are some cases when multiple assertions are needed (e.g. Guard Assertion), but in general I try to avoid this. What is your opinion? Please provide a real word examples when multiple asserts are really needed. Thanks! Edit In the comment to this great post Roy Osherove pointed to the OAPT project that is designed to run each assert in a single test. This is written on projects home page: Proper unit tests should fail for exactly one reason, that’s why you should be using one assert per unit test. And also Roy wrote in comments: My guideline is usually that you test one logical CONCEPT per test. you can have multiple asserts on the same object. they will usually be the same concept being tested.

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  • Is it useful to unit test methods where the only logic is guards?

    - by Vaccano
    Say I have a method like this: public void OrderNewWidget(Widget widget) { if ((widget.PartNumber > 0) && (widget.PartAvailable)) { WigdetOrderingService.OrderNewWidgetAsync(widget.PartNumber); } } I have several such methods in my code (the front half to an async Web Service call). I am debating if it is useful to get them covered with unit tests. Yes there is logic here, but it is only guard logic. (Meaning I make sure I have the stuff I need before I allow the web service call to happen.) Part of me says "sure you can unit test them, but it is not worth the time" (I am on a project that is already behind schedule). But the other side of me says, if you don't unit test them, and someone changes the Guards, then there could be problems. But the first part of me says back, if someone changes the guards, then you are just making more work for them (because now they have to change the guards and the unit tests for the guards). For example, if my service assumes responsibility to check for Widget availability then I may not want that guard any more. If it is under unit test, I have to change two places now. I see pros and cons in both ways. So I thought I would ask what others have done.

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  • How can I improve my error checking and handling?

    - by Google
    Lately I have been struggling to understand what the right amount of checking is and what the proper methods are. I have a few questions regarding this: What is the proper way to check for errors (bad input, bad states, etc)? Is it better to explicitly check for errors, or use functions like asserts which can be optimized out of your final code? I feel like explicitly checking clutters a program with a lot of extra code which shouldn't be executed in most situations anyway-- and not to mention most errors end up with an abort/exit failure. Why clutter a function with explicit checks just to abort? I have looked for asserts versus explicit checking of errors and found little to truly explain when to do either. Most say 'use asserts to check for logic errors and use explicit checks to check for other failures.' This doesn't seem to get us very far though. Would we say this is feasible: Malloc returning null, check explictly API user inserting odd input for functions, use asserts Would this make me any better at error checking? What else can I do? I really want to improve and write better, 'professional' code.

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  • How to TDD test that objects are being added to a collection if the collection is private?

    - by Joshua Harris
    Assume that I planned to write a class that worked something like this: public class GameCharacter { private Collection<CharacterEffect> _collection; public void Add(CharacterEffect e) { ... } public void Remove(CharacterEffect e) { ... } public void Contains(CharacterEffect e) { ... } } When added an effect does something to the character and is then added to the _collection. When it is removed the effect reverts the change to the character and is removed from the _collection. It's easy to test if the effect was applied to the character, but how do I test that the effect was added to _collection? What test could I write to start constructing this class. I could write a test where Contains would return true for a certain effect being in _collection, but I can't arrange a case where that function would return true because I haven't implemented the Add method that is needed to place things in _collection. Ok, so since Contains is dependent on having Add working, then why don't I try to create Add first. Well for my first test I need to try and figure out if the effect was added to the _collection. How would I do that? The only way to see if an effect is in _collection is with the Contains function. The only way that I could think to test this would be to use a FakeCollection that Mocks the Add, Remove, and Contains of a real collection, but I don't want _collection being affected by outside sources. I don't want to add a setEffects(Collection effects) function, because I do not want the class to have that functionality. The one thing that I am thinking could work is this: public class GameCharacter<C extends Collection> { private Collection<CharacterEffect> _collection; public GameCharacter() { _collection = new C<CharacterEffect>(); } } But, that is just silly making me declare what some private data structures type is on every declaration of the character. Is there a way for me to test this without breaking TDD principles while still allowing me to keep my collection private?

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  • TDD vs. Productivity

    - by Nairou
    In my current project (a game, in C++), I decided that I would use Test Driven Development 100% during development. In terms of code quality, this has been great. My code has never been so well designed or so bug-free. I don't cringe when viewing code I wrote a year ago at the start of the project, and I have gained a much better sense for how to structure things, not only to be more easily testable, but to be simpler to implement and use. However... it has been a year since I started the project. Granted, I can only work on it in my spare time, but TDD is still slowing me down considerably compared to what I'm used to. I read that the slower development speed gets better over time, and I definitely do think up tests a lot more easily than I used to, but I've been at it for a year now and I'm still working at a snail's pace. Each time I think about the next step that needs work, I have to stop every time and think about how I would write a test for it, to allow me to write the actual code. I'll sometimes get stuck for hours, knowing exactly what code I want to write, but not knowing how to break it down finely enough to fully cover it with tests. Other times, I'll quickly think up a dozen tests, and spend an hour writing tests to cover a tiny piece of real code that would have otherwise taken a few minutes to write. Or, after finishing the 50th test to cover a particular entity in the game and all aspects of it's creation and usage, I look at my to-do list and see the next entity to be coded, and cringe in horror at the thought of writing another 50 similar tests to get it implemented. It's gotten to the point that, looking over the progress of the last year, I'm considering abandoning TDD for the sake of "getting the damn project finished". However, giving up the code quality that came with it is not something I'm looking forward to. I'm afraid that if I stop writing tests, then I'll slip out of the habit of making the code so modular and testable. Am I perhaps doing something wrong to still be so slow at this? Are there alternatives that speed up productivity without completely losing the benefits? TAD? Less test coverage? How do other people survive TDD without killing all productivity and motivation?

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  • Advantages of Hudson and Sonar over manual process or homegrown scripts.

    - by Tom G
    My coworker and I recently got into a debate over a proposed plan at our workplace. We've more or less finished transitioning our Java codebase into one managed and built with Maven. Now, I'd like for us to integrate with Hudson and Sonar or something similar. My reasons for this are that it'll provide a 'zero-click' build step to provide testers with new experimental builds, that it will let us deploy applications to a server more easily, that tools such as Sonar will provide us with well-needed metrics on code coverage, Javadoc, package dependencies and the like. He thinks that the overhead of getting up to speed with two new frameworks is unacceptable, and that we should simply double down on documentation and create our own scripts for deployment. Since we plan on some aggressive rewrites to pay down the technical debt previous developers incurred (gratuitous use of Java's Serializable interface as a file storage mechanism that has predictably bit us in the ass) he argues that we can document as we go, and that we'll end up changing a large swath of code in the process anyways. I contend that having accurate metrics that Sonar (or fill in your favorite similar tool) provide gives us a good place to start for any refactoring efforts, not to mention general maintenance -- after all, knowing which classes are the most poorly documented, even if it's just a starting point, is better than seat-of-the-pants guessing. Am I wrong, and trying to introduce more overhead than we really need? Some more background: an alumni of our company is working at a Navy research lab now and suggested these two tools in particular as one they've had great success with using. My coworker and I have also had our share of friendly disagreements before -- he's more of the "CLI for all, compiles Gentoo in his spare time and uses Git" and I'm more of a "Give me an intuitive GUI, plays with XNA and is fine with SVN" type, so there's definitely some element of culture clash here.

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  • Are there any books dedicated to writing test code? [on hold]

    - by joshin4colours
    There are many programming books dedicated to useful programming and engineering topics, like working with legacy code or particular languages. The best of these books become "standard" or "canonical" references for professional programmers. Are there any books like this (or that could be like this) for writing test code? I don't mean books about Test-Driven Development, nor do I mean books about writing good (clean) code in general. I'm looking for books that discuss test code specifically (unit-level, integration-level, UI-level, design patterns, code structures and organization, etc.)

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  • Do you write common pre-conditions for a large number of unit test cases ?

    - by Vinoth Kumar
    I have heard/read writing common pre-conditions for a large number of test cases is a bad thing, since this dependency may cause large number of test cases to fail if something changes . What are your thoughts on it ? If this is so , then what exactly is the purpose of setUp() method in Junit that runs before each test case ? If the same code inside setUp() runs before each test case , why cant it run only once before running all the test cases together ?

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  • What is the correct way to handle debug output in Java?

    - by Federico Zancan
    As my current Java projects grow bigger and bigger, I feel a likewise growing need to insert debug output in several points of my code. To enable or disable this feature appropriately, depending on the opening or closure of the test sessions, I usually put a private static final boolean DEBUG = false at the beginning of the classes my tests are inspecting, and trivially use it this way (for example): public MyClass { private static final boolean DEBUG = false; ... some code ... public void myMethod(String s) { if (DEBUG) { System.out.println(s); } } } and the like. But that doesn't bliss me out, because of course it works but there could be too many classes in which to set DEBUG to true, if you are not staring at just a couple of them. Conversely, I (like - I think - many others) wouldn't love to put the whole application in debug mode, as the amount of text being output could be overwhelming. So, is there a correct way to architecturally handle such situation or the most correct way is to use the DEBUG class member?

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  • Is there any way to test how will the site perform under load

    - by Pankaj Upadhyay
    I have made an Asp.net MVC website and hosted it on a shared hosting provider. Since my website surrounds a very generic idea, it might have number of concurrent users sometime in future. So, I was thinking of a way to test my website for on-load performance. Like how will the site perform when 100 or 1000 users are online at the same time and surfing the website. This will also make me understand whether my LINQ queries are well written or not.

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  • How do I inject test objects when the real objects are created dynamically?

    - by JW01
    I want to make a class testable using dependency injection. But the class creates multiple objects at runtime, and passes different values to their constructor. Here's a simplified example: public abstract class Validator { private ErrorList errors; public abstract void validate(); public void addError(String text) { errors.add( new ValidationError(text)); } public int getNumErrors() { return errors.count() } } public class AgeValidator extends Validator { public void validate() { addError("first name invalid"); addError("last name invalid"); } } (There are many other subclasses of Validator.) What's the best way to change this, so I can inject a fake object instead of ValidationError? I can create an AbstractValidationErrorFactory, and inject the factory instead. This would work, but it seems like I'll end up creating tons of little factories and factory interfaces, for every dependency of this sort. Is there a better way?

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  • Types of semantic bugs, logic errors [closed]

    - by C-Otto
    I am a PhD student and currently focus on automatically finding instances of new types of bugs in (Java) programs that cannot be found by existing tools like FindBugs. The existing tool currently is used to prove/disprove termination of (Java) programs. I have some ideas (see below), but I could need more input from you (experienced programmers, potential users of my tool). What kind of bugs do you wish to find? What types of bugs exist and might be suitable for my analysis? One strength of the approach I use is detailled information about the heap. So in contrast to FindBugs, I can work with knowledge of the form "variable x and variable y are disjoint on the heap" or "variable z is not cyclic". It is also possible to see if a method might have side effects (and if so, which variables may/may not be affected by it). Example 1: Vacuous call: Graph graphOne = createGraph(); Graph graphTwo = createGraph(); Node source = graphTwo.getRootNode(); for (Node n : graphOne.getNodes()) { if (areConnected(source, n)) { graphTwo.addNode(n); } } Imagine createGraph() creates a fresh graph, so that graphOne and graphTwo are disjoint on the heap. Then, because source is taken from graphTwo instead of graphOne, the call to areConnected always returns false. In this situation I could find out that the call areConnected is useless (because it does not have any side effect and the return value always is false) which helps finding the real bug (taking source from the wrong graph). For this the information that x and y are disjoint (because graphOne and graphTwo are disjoint) is crucial. This bug is related to calling x.equals(y) where x and y are objects of different classes. In this scenario, most implementations of equals() always return false, which most likely is not the intended result. FindBugs already finds this bug (hardcoded to equals(), semantics of implementation is not checked). Example 2: Useless code: someCode(); while (something()) { yetMoreSomething(); } moreCode(); In the case that the loop (so the code in something() and yetMoreSomething()) does not modify anything visible outside the loop, it does not make sense to run this code - the program has the same behaviour as someCode(); moreCode() (i.e., without the loop). To find this out, one needs detailled information about the side effects of the (possibly useless) code. If I can prove that the code does not have any side effect that can be observed afterwards (in the example: in moreCode() or later), then the code indeed is useless. Of course, here Input/Output of any form must be seen as a side effect, so that a System.out.println(...) is not considered useless. Example 3: Ignored return value: Instead of x = foo(); and making use of x, the method is called without storing the result: foo();. If the method does not have any side effect, its invocation is useless and can be dropped. Most likely, the bug here is that the returned value should have been used. Here, too, detailled information about side effects are needed. Can you think of similar types of bugs that might be detected (only) with detailled information about the heap, side effects, semantics of called methods, ...? Did you encounter bugs related to the ones shown below in "real life"? By the way, the tool is AProVE and Java related publications can be found on my homepage. Thanks a lot, Carsten

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  • bug: deviation from requirements vs deviation from expectations

    - by user970696
    I am not clear on this one. No matter the terminology, in the end the software fault/bug causes (according to a lot of sources): Deviation from requirements Devation from expectations But if the expectations are not in requirements, then stakeholder could see a bug everywhere as he expected it to be like this or that..So how can I really know? I did read that specification can miss things and then of course its expected but not specified (by mistake).

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  • Onsite Interview : QA Engineer with more Emphasis on Java Skills

    - by coolrockers2007
    Hello I'm having a onsite interview for QA engineer with Startup. While phone interview the person said he would want to test my JAVA, JUnit and SQL skills on white board with more importance on Object-oriented skills, So what all can i questions can i expect ? One more important issue : How do i overcome the fear of White board interview ?. I'm very bad at White board sessions, i get fully tensed. Please suggest me tips to overcome my jinx

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  • Should mock objects for tests be created at a high or low level

    - by Danack
    When creating unit tests for those other objects, what is the best way to create mock objects that provide data to other objects. Should they be created at a 'high level' and intercept the calls as soon as possible, or should they be done at a 'low level' and so make as much as the real code still be called? e.g. I'm writing a test for some code that requires a NoteMapper object that allows Notes to be loaded from the DB. class NoteMapper { function getNote($sqlQueryFactory, $noteID) { // Create an SQL query from $sqlQueryFactory // Run that SQL // if null // return null // else // return new Note($dataFromSQLQuery) } } I could either mock this object at a high level by creating a mock NoteMapper object, so that there are no calls to the SQL at all e.g. class MockNoteMapper { function getNote($sqlQueryFactory, $noteID) { //$mockData = {'Test Note title', "Test note text" } // return new Note($mockData); } } Or I could do it at a very low level, by creating a MockSQLQueryFactory that instead of actually querying the database just provides mock data back, and passing that to the current NoteMapper object. It seems that creating mocks at a high level would be easier in the short term, but that in the long term doing it at a low level would be more powerful and possibly allow more automation of tests e.g. by recording data in an out of a DB and then replaying that data for tests. Is there a recommended way of creating mocks? Are there any hard and fast rules about which are better, or should they both be used where appropriate?

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  • Dependency injection: what belongs in the constructor?

    - by Adam Backstrom
    I'm evaluating my current PHP practices in an effort to write more testable code. Generally speaking, I'm fishing for opinions on what types of actions belong in the constructor. Should I limit things to dependency injection? If I do have some data to populate, should that happen via a factory rather than as constructor arguments? (Here, I'm thinking about my User class that takes a user ID and populates user data from the database during construction, which obviously needs to change in some way.) I've heard it said that "initialization" methods are bad, but I'm sure that depends on what exactly is being done during initialization. At the risk of getting too specific, I'll also piggyback a more detailed example onto my question. For a previous project, I built a FormField class (which handled field value setting, validation, and output as HTML) and a Model class to contain these fields and do a bit of magic to ease working with fields. FormField had some prebuilt subclasses, e.g. FormText (<input type="text">) and FormSelect (<select>). Model would be subclassed so that a specific implementation (say, a Widget) had its own fields, such as a name and date of manufacture: class Widget extends Model { public function __construct( $data = null ) { $this->name = new FormField('length=20&label=Name:'); $this->manufactured = new FormDate; parent::__construct( $data ); // set above fields using incoming array } } Now, this does violate some rules that I have read, such as "avoid new in the constructor," but to my eyes this does not seem untestable. These are properties of the object, not some black box data generator reading from an external source. Unit tests would progressively build up to any test of Widget-specific functionality, so I could be confident that the underlying FormFields were working correctly during the Widget test. In theory I could provide the Model with a FieldFactory() which could supply custom field objects, but I don't believe I would gain anything from this approach. Is this a poor assumption?

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  • Should tests be in the same ruby file or in separeted ruby files?

    - by Junior Mayhé
    While using Selenium and Ruby to do some functional tests, I am worried with the performance. So is it better to add all test methods in the same ruby file, or I should put each one in separated code files? Below a sample with all tests in the same file: # encoding: utf-8 require "selenium-webdriver" require "test/unit" class Tests < Test::Unit::TestCase def setup @driver = Selenium::WebDriver.for :firefox @base_url = "http://mysite" @driver.manage.timeouts.implicit_wait = 30 @verification_errors = [] @wait = Selenium::WebDriver::Wait.new :timeout => 10 end def teardown @driver.quit assert_equal [], @verification_errors end def element_present?(how, what) @driver.find_element(how, what) true rescue Selenium::WebDriver::Error::NoSuchElementError false end def verify(&blk) yield rescue Test::Unit::AssertionFailedError => ex @verification_errors << ex end def test_1 @driver.get(@base_url + "/") # a huge test here end def test_2 @driver.get(@base_url + "/") # a huge test here end def test_3 @driver.get(@base_url + "/") # a huge test here end def test_4 @driver.get(@base_url + "/") # a huge test here end def test_5 @driver.get(@base_url + "/") # a huge test here end end

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  • Quality of Code in unit tests?

    - by m3th0dman
    Is it worth to spend time when writing unit tests in order that the code written there has good quality and is very easy to read? When writing this kinds of tests I break very often the Law of Demeter, for faster writing and not using so many variables. Technically, unit tests are not reused directly - are strictly bound to the code so I do not see any reason for spending much time on them; they only need to be functionaly.

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  • Using automated bdd-gui-tests to keep user-documentation-screenshots up do date?

    - by k3b
    Are there developpers out there, who (ab)use the CaptureScreenshot() function of their automated gui-tests to also create uptodate-screenshots for the userdocumentation? Background: Whithin the lifetime of an application, its gui-elements are constantly changing. It makes a lot of work to keep the userdocumentation uptodate, especially if the example data in the pictures should match the textual description. If you already have automated bdd-gui-tests why not let them take screenshots at certain points? I am currently playing with webapps in dotnet+specflow+selenium, but this topic also applies to other bdd-engines (JRuby-Cucumber, mspec, rspec, ...) and gui-test-Frameworks (WaitN, WaitR, MsWhite, ....) Any experience, thoughts or url-links to this topic would be helpfull. How is the cost/benefit relation? Is it worth the efford? What are the Drawbacks? See also: Is it practical to retroactively write specifications documenting a system via automated acceptance tests?

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  • Mock RequireJS define dependencies with config.map

    - by Aligned
    Originally posted on: http://geekswithblogs.net/Aligned/archive/2014/08/18/mock-requirejs-define-dependencies-with-config.map.aspxI had a module dependency, that I’m pulling down with RequireJS that I needed to use and write tests against. In this case, I don’t care about the actual implementation of the module (it’s simple enough that I’m just avoiding some AJAX calls). EDIT: make sure you look at the bottom example after the edit before using the config.map approach. I found that there is an easier way. I did not want to change the constructor of the consumer as I had a chain of changes that would have to be made and that would have been to invasive for this task. I found a question on StackOverflow with a short, but helpful answer from “Artem Oboturov”. We can use the config.map from RequireJs to achieve this. Here is some code: A module example (“usefulModule” in Common/Modules/usefulModule.js): define([], function() { "use strict"; var testMethod = function() { ... }; // add more functionality of the module return { testMethod; } }); A consumer of usefulModule example: define([ "Commmon/Modules/usefulModule" ], function(usefulModule) { "use strict"; var consumerModule = function(){ var self = this; // add functionality of the module } }); Using config.map in the html of the test runner page (and in your Karma config –> I’m still trying to figure this out): map: {'*': { // replace usefulModule with a mock 'Common/Modules/usefulModule': '/Tests/Specs/Common/usefulModuleMock.js' } } With the new mapping, Require will load usefulModuleMock.js from Tests/Specs/Common instead of the real implementation. Some of the answers on StackOverflow mentioned Squire.js, which looked interesting, but I wasn’t ready to introduce a new library at this time. That’s all you need to be able to mock a depency in RequireJS. However, there are many good cases when you should pass it in through the constructor instead of this approach.   EDIT: After all that, here’s another, probably better way: The consumer class, updated: define([ "Commmon/Modules/usefulModule" ], function(UsefulModule) { "use strict"; var consumerModule = function(){ var self = this; self.usefulModule = new UsefulModule(); // add functionality of the module } }); Jasmine test: define([ "consumerModule", "/UnitTests/Specs/Common/Mocks/usefulModuleMock.js" ], function(consumerModule, UsefulModuleMock){ describe("when mocking out the module", function(){ it("should probably just override the property", function(){ var consumer = new consumerModule(); consumer.usefulModule = new UsefulModuleMock(); }); }); });   Thanks for letting me think out loud :-).

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  • Isolated Unit Tests and Fine Grained Failures

    - by Winston Ewert
    One of the reasons often given to write unit tests which mock out all dependencies and are thus completely isolated is to ensure that when a bug exists, only the unit tests for that bug will fail. (Obviously, an integration tests may fail as well). That way you can readily determine where the bug is. But I don't understand why this is a useful property. If my code were undergoing spontaneous failures, I could see why its useful to readily identify the failure point. But if I have a failing test its either because I just wrote the test or because I just modified the code under test. In either case, I already know which unit contains a bug. What is the useful in ensuring that a test only fails due to bugs in the unit under test? I don't see how it gives me any more precision in identifying the bug than I already had.

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  • Testcase runner for parametrized testcases

    - by Razer
    Let me explain my situation. I'm planning a kind of test case runner for doing testcases on external devices, which are microcontroller based. Lets consider the devices: Device 1 Device 2 There exist a lot of test cases which can be run with one of the devices above. For example: Testcase 1 Testcase 2 The main reason that all the testcases can be run with any device is, that the testcases validates some standard and this software should be extensible for future devices. The testcases itself must be runnable with changing parameters. For example Testcase 1 does some Timing Verification the testcase needs as input parameter the datarate: 4800, 9600, 19200. Now hoping you understand the situation, let me explain my design questions. For implementing the test cases I thought about an Attribute based approach, like nunit does it. The more complicated problem is, how to define the parametrized testcases? Like this: Device 1: Testcase 1: datarate: 4800, 9600, 19200 Testcase 2: supply: 1, 2, 3 Device 2: Testcase 1: datarate: 9600, 19200, 38400 Testcase 2: supply: 3, 4, 5 How would you design such a framework? I've done a similar desin in python where I had for every device a XML containing the testcase definitions like: <Testcase="Testcase 1" datarate=4800/> <Testcase="Testcase 1" datarate=9600/> <Testcase="Testcase 1" datarate=19200/>

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  • How to handle bugs that I think I fixed, but I'm not entirely sure

    - by vsz
    There are some types of bugs which are very hard to reproduce, happen very rarely and seemingly by random. It can happen, that I find a possible cause, fix it, test the program, and can't reproduce the bug. However, as it was impossible to reliably reproduce the bug and it happened so rarely, how can I indicate this in a bugtracker? What is the common way of doing it? If I set the status to fixed, and the solution to fixed, it would mean something completely fixed, wouldn't it? Is it common practice to set the status to fixed and the solution to open, to indicate to the testers, that "it's probably fixed, but needs more attention to make sure" ? Edit: most (if not all) bugtrackers have two properties for the status of a bug, maybe the names are not the same. By status I mean new, assigned, fixed, closed, etc., and by solution I mean open (new), fixed, unsolvable, not reproducible, duplicate, not a bug, etc.

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  • Do you test your SQL/HQL/Criteria ?

    - by 0101
    Do you test your SQL or SQL generated by your database framework? There are frameworks like DbUnit that allow you to create real in-memory database and execute real SQL. But its very hard to use(not developer-friendly so to speak), because you need to first prepare test data(and it should not be shared between tests). P.S. I don't mean mocking database or framework's database methods, but tests that make you 99% sure that your SQL is working even after some hardcore refactoring.

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  • What are the processes of true Quality assurance?

    - by user970696
    Having read that Quality Assurance (QA) is focused on processes (while Quality Control (QC) is focused on the product), the books often mentions QA is the verification process - doing peer reviews, inspections etc. I still tend to think these are also QC as they check intermediate products. Elsewhere I have read that QA activity is e.g. choosing the right bugtracker. That sounds better to me in terms of process improvement. The question that close-voting person obviously missed is pretty clear: What are the activities that true QA should perform? I would appreciate the reference as I work on my thesis dealing with all these discrepancies and inconsistencies in the software quality world.

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