Oxen Software Studio: CodePro AnalytiX first impression. I'm evaluating CodePro AnalytiX in order to use it in a project. We're currently using Checkstyle. At first sight, it seems that CodePro AnalytiX is more strict and validates more topics. However, I'm just trying the default configuration. It suggest you always overriding toString() method.Checkstyle ignores the lack of Javadoc comment if the method has an @Override annotation.
CodePro doesn't. Also, CodePro doesn't take in account the {@inheritDoc} Javadoc annotation, so you must specify all the method documentation (even for toString(), for example).There is a validation for package names: they should start with a reverse domain name.It suggest not using String literals. However, the scope of CodePro goes beyond syntax checking. Manuel Aldana — Top 4 Software-Metrics Antipatterns. November 14th, 2010 · 1 Comment Metrics are a way to quantify a specific view of a system. They occur in several areas like in source-code (e.g. LOC), process (e.g. number of production issues) or business (e.g. website page-views). Followings lists my “most-favorite” Metrics Antipatterns. 1. Wrong target audience Metrics don’t act as a feedback cycle for the people who produced the results, but merely end up in top-management number crunching reports. 2.
Team doesn’t understand or hasn’t agreed on metrics setup. 3. All metrics are taken for granted and high and low peaks aren’t questioned. 4. The metrics aren’t presented well. Conclusion Above points seem to be common sense, still in practice metrics are misused a lot. Tags: Software Engineering. Mockito - Pros, Cons, and Best Practices. Mockito - Pros, Cons, and Best Practices It's been almost 4 years since I wrote a blog post called "EasyMock - Pros, Cons, and Best Practices, and a lot has happened since. You don't hear about EasyMock much any more, and Mockito seems to have replaced it in mindshare. And for good reason: it is better. A Good Humane Interface for StubbingJust like EasyMock, Mockito allows you to chain method calls together to produce less imperative looking code.
Here's how you can make a Stub for the canonical Warehouse object: Warehouse mock = Mockito.mock(Warehouse.class);Mockito.when(mock.hasInventory(TALISKER, 50)). thenReturn(true); I know, I like a crazy formatting. Class (not just Interface) MocksMockito allows you to mock out classes as well as interfaces. Supports Test Spies, not just MocksThere is a difference between spies and mocks. //actOrder order = new Order(TALISKER, 50);order.fill(warehouse); // assertEasyMock.verify(mock); That's a lot of code, and not all of it is needed. That's it. Comments, Assertions and Unit Tests. Example-driven Testing With Easyb. We Recommend These Resources Easyb is a powerful and elegent Behaviour-Driven Development (BDD) tool based on Groovy. It excels at being light-weight, highly readable, and easy to use. Lately, I have been using it with great success in combination with Selenium 2/WebDriver Page Objects for the automation of acceptance and regression web tests (ATDD).
I'll discuss that in a future blog. But in this article, I want to give a sneak preview about a particularly nice feature due out in the next release. The soon-to-be-released next version of easyb introduces some very cool features, one of the most useful of which is probably support for example-driven testing. This feature exists in other BDD frameworks such as Cucumber and JBehave, but has so far been notably lacking in easyb. The new version of easyb introduces the (synonymous) where and examples keywords, which let you define sets of test data that will be used in your scenario. 2. number = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 12. Get Higher with ScalaTest | Java Software Development Videos and Tutorials Directory. Automate Your Integration Tests. We Recommend These Resources Software testing traditionally has been separated between unit testing – testing classes in isolation – and integration testing – testing across all layers.
Whereas unit testing is the domain of developers, integration testing is the domain of analysts. Moreover, most of the time, those tests are not automated and are painfully reexecuted by hand each time they are needed. This means that your build process has a safeguard harness on the unit level but nothing on the feature level (at least nothing remotely automated). In order to further streamline the build process, it would be order to also automate integration tests. Yet, those tests I was pleased with lack one essential feature: the analyst point-of-view. What’s essential is what lies between the description of the tested use cases in plain text and their implementations in Java.
This tool is JBehave, and as you can guess from its name, it advocates for Behaviour Driven Development. 1.Given a student 07.
Pruebas Unitarias. Pruebas Funcionales. Do You Know Log4j SoundAppender? We Recommend These Resources Today, I was looking at the maven dependencies of one of my projects and found a jar called apache-log4j-extras. I fired the maven dependency:tree command to find out where this jar was getting picked up from. I found out that this jar was referred from a third party jar.
I decided to take a look at the classes inside this jar and found an interesting class called SoundAppender. SoundAppender is a Log4J appender which play an audio clip created using Applet.newAudioClip when an logging event is received. You can use filters in combination with this appender to control when the appender is trigger. Let's configure SoundAppender. Before you start using this appender, you should add apache-log4j-extras dependency in your project. 1. 2. 3. 4. 5. Once you have added apache-log4j-extras dependency to your project, you should define the SoundAppender in log4j.xml as shown below 03. 05. 08. 09. 11. 12. 14. 15. 16. 18. 01.public class ExampleService { 07. Mutability, Arrays and the Cost of Temporary Objects in Java ~ C for Coding. In his 2001 must-read book, Effective Java, Joshua Bloch said in one item “Favor immutability”. Java theory and practice: To mutate or not to mutate? Provides an excellent overview of what this means and why it matters.
It states: An immutable object is one whose externally visible state cannot change after it is instantiated. A Brief Overview of Immutability Let’s say you want to create a class to model arbitrary precision rational numbers (ie fractions). A mutable version might start out: 01.public class BigRational { 02. private BigInteger numerator = BigInteger.ZERO; 03. private BigInteger denominator = BigInteger.ONE; 07. public BigRational add(BigRational other) { 08. if (numerator.signum() == 0) { 09. numerator = other.numerator; 10. denominator = other.denominator; 11. } else if (other.numerator.signum() == 0) { 13. } else if (denominator.equals(other.denominator)) { 14. numerator = numerator.add(other.numerator); 15. } else { 18. denominator = denominator.multiply(other.denominator); 05. 05.
Don’t TOUCH that debugger, you moron, READ the exception stack. There is a tendency to reach the debugger for every error that you run, but in most cases, it is the exception (and the exception stack) that provides enough to solve the problem in 99% of the cases. Case in point, I made some changes to Uber Prof and run the tests. For various reasons, I had to reinstall SQLExpress, and all the Java related tests failed, throwing up copious amount of error text in my lap.
I cringe when they do that, because it means having to setup the Java environment and having to check how to do things like real debugging in Java (something I have very little knowledge of). I did just that, spending over an hour getting things to a position where I could run everything properly. Moron, did I mention already? (Note: Opinions expressed in this article and its replies are the opinions of their respective authors and not those of DZone, Inc.) How to Clean Your Java Functions and Arguments. Have you ever been significantly impeded by bad code? (Uncle) Bob Martin, the CEO of Object Mentor, asked this question at the NDC 2010 conference this year in his first of two major presentations on the subjects of testing and code cleanliness. If you, or some developer you know is throwing bad code over the wall or passing it off to you, these two presentations will be a blessing to those who think that writing fast and messy code is truly faster.
Developers today need to realize that sacrificing quality to get things out quickly will still cause major delays when that bad code needs to be fixed. Bob Martin will demonstrate how a Java module can start clean, but gradually degrade in quality, and then be refactored back to a good quality. The mindset of "I'll clean it up later" can kill a business. Clean Code I: Arguments from Mike C. on Vimeo. Another audience-challenging presentation by Bob Martin examines the process of cleaning up Java functions. Which is the Fastest Program? Which is the Fastest Program? When a programmer sees a chunk of code he tends to evaluate it in a rather intuitive manner and to qualify it as “elegant” or not. This is quite easy, because it’s subjective and nobody knows what exactly elegant means.
However behind this there is a powerful mathematical approach of measuring a program effectiveness. It’s a pity that most of the developers still think of the big O notation as something from the university classes, but unusual in the practice and they barely use it their job. But before describing the big O notation, let me start from something really simple. Let’s have the following example (note that all the examples are in PHP): As you can see there are two assignments and two nested loops. Constants, Languages, Compilers First of all the time to assign a value to a variable, to compare two values and to increment a variable is constant. What Matters? Actually the most important thing here is the value of n. And by substituting: the result is: