Annyce Davis

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Talk: Developing Maintainable Apps

August 28, 2015 by Annyce Davis

Great Android apps only include what’s needed to achieve the goals of the product, not enhance the resume of the developer. What’s more, the more maintainable an application is, the more likely it will have increased user satisfaction and decreased time to market.


So how can you do it?  Keep these four factors in mind:

  1. Choose your 3rd Party Components Wisely
  2. Keep your Code Simple
  3. Use Static Code Analysis Tools
  4. Write Unit Tests

Resources:

  • Clean Code – http://amzn.to/1DJybxH
  • Effective Java –http://amzn.to/1Ku8Xel
  • Working Effectively with Legacy Code – http://amzn.to/1Jqe1PA
  • Unit Testing Idioms – http://goo.gl/Bx1WbL
  • Google Code Style – http://goo.gl/8Pf6J3
  • Architecting Android – http://goo.gl/UKvmbq
  • Conquering Cyclomatic Complexity – http://goo.gl/lRoPXN

Testing Your Apps with AWS Device Farm

August 12, 2015 by Annyce Davis

Recently, I’ve been on a mission to enhance the quality of the tests in the Android applications that I work on.  To that end, I was introduced to the AWS Device Farm, a cloud based app testing platform.

It was very simple to set up and like most AWS products comes with free tier usage. You move through five steps (at most) and then your app will be tested on the devices you choose.  To get an idea of how it works, just follow the screenshots below.

1. Choose Your Application

2. Configure a test

3. Select Devices

Then you are presented with some additional device configuration options (bluetooth, NFC, GPS, etc.). Finally, you have the ability to review and submit your run configuration. Once all of the devices have completed running your tests you can then drill down and view the individual results of each test.

Test Results


If you try it out, leave me your thoughts below.

Android Devs Listen Up!

July 19, 2015 by Annyce Davis

So listening to podcasts used to be the “thing”, then it wasn’t the “thing” anymore, and now it’s back to being the “thing” to do.  So with that in mind I thought I’d share some of my favorite podcasts for Android developers.

Fragmented

So Fragmented is a podcast for Android Developers that focuses on providing information about the trends in Android Development and the best tools available to produce quality applications.  What I like about this podcast is that the hosts are actual developers responsible for building and maintaining apps that are in the wild, so it lends credibility to the advice that they provide.
 
Favorite Episodes So Far:
  • Android Image Libraries => http://fragmentedpodcast.com/episodes/5/
  • Android Testing => http://fragmentedpodcast.com/episodes/1/

Android Developers Backstage

Android Developers Backstage is also focused on Android as the name implies, however it is hosted by two Google employees.  So it allows you to hear the motivation behind some of the platform decisions and get a better understanding of how Google intended for certain APIs and tools to be used by developers.
 
Favorite Episodes So Far:
  • Android Tools => http://androidbackstage.blogspot.com/2015/05/episode-27-couple-of-tools.html
  • Espresso => http://androidbackstage.blogspot.com/2015/04/episode-25-espresso.html

Java Posse

Finally, I leave you with the Java Posse podcast. I only just discovered this one and unfortunately they are no longer making any new episodes. However, the archives are still available and they are full of great content for Java developers.  Each and every episode that I’ve heard so far has left me with at least one idea that I can use to continue growing as a Java developer.
 
Favorite Episodes So Far:
  • Google Guava => http://javaposse.com/java-posse-455
  • Reactive Programming => http://javaposse.com/java-posse-432
 
Unfortunately I don’t know of any technical podcasts where the hosts are women, so if you do, please leave me a comment below. Thanks!

Conquering Cyclomatic Complexity

July 7, 2015 by Annyce Davis

Have you ever received a warning about Cyclomatic Complexity while working with a class in Android Studio? Would you like to know how to fix it?  If yes, keep reading…

What is cyclomatic complexity?


Here is a definition from Wikipedia:

“The cyclomatic complexity of a section of source code is the number of linearly independent paths within it. For instance, if the source code contained no control flow statements (conditionals or decision points), such as IF statements, the complexity would be 1, since there is only a single path through the code.” — Wikipedia

Ok, so that particular definition is a tad verbose, but it’s essentially saying that the more control structures (if, else, switch, etc.)  you have in your code the more you introduce complexity into your program.

Why is high cyclomatic complexity bad?


Short answer, it can make it more difficult to write unit tests that cover all possible branches of a given function as well as hinder debugging efforts. Others argue that it affects the readability of your code, making it more challenging for another developer to understand the intent of your functions and/or classes.

How do you fix it?


You start by reducing the number of paths through any given function.  Let’s take a look at a very contrived example.

public void overlyComplexMethod(Video video) {
    if (video != null && video.getStreamUrl() != null) {
        switch (video.getCategory()) {
            case "CAT1" :
                playVideo(video);
                if (video.getLargeImageUrl() == null) {
                    video.setLargeImageUrl("http://www.largeImage.png");
                }
                updateMetadata(video);
                break;
            case "CAT2" :
                if (video.getLargeImageUrl() == null) {
                    video.setLargeImageUrl("http://www.smallImage.png");
                }
                updateMetadata(video);
                break;
            case "CAT3" :
                if (video.getLargeImageUrl() == null) {
                    video.setLargeImageUrl("http://www.mediumImage.png");
                }
                updateMetadata(video);
                break;
            default:
                break;
        }
    }
}


This function has several different paths through it, notice the use of a switch statement with several cases and within the cases more if statements. The cyclomatic complexity of this method is 9, ideally you would want to have most functions with a value of 8 or less.  So let’s clean it up!

First we’re going to move the switch statement into its own method.

public void overlyComplexMethod(Video video) {
    if (video != null && video.getStreamUrl() != null) {
        updateVideoBasedOnCategory(video);
    }
}

private void updateVideoBasedOnCategory(Video video) {
    switch (video.getCategory()) {
        case "CAT1" :
            playVideo(video);
            if (video.getLargeImageUrl() == null) {
                video.setLargeImageUrl("http://www.largeImage.png");
            }
            updateMetadata(video);
            break;
         case "CAT2" :
            if (video.getLargeImageUrl() == null) {
                video.setLargeImageUrl("http://www.smallImage.png");
            }
            updateMetadata(video);
            break;
         case "CAT3" :
            if (video.getLargeImageUrl() == null) {
                video.setLargeImageUrl("http://www.mediumImage.png");
            }
            updateMetadata(video);
            break;
          default:
            break;
    }
}


By making this simple change we’ve already reduced the complexity down to a value of 7. The next step would be to look for code duplication among the case statements and then create one method that they can all share.  Let’s see how that might look…

public void overlyComplexMethod(Video video) {
    if (video != null && video.getStreamUrl() != null) {
        updateVideoBasedOnCategory(video);
    }
}

private void updateVideoBasedOnCategory(Video video) {
    switch (video.getCategory()) {
        case "CAT1" :
            playVideo(video);
            updateVideoMetaDataAndUrl(video, "http://www.largeImage.png");
            break;
        case "CAT2" :
            updateVideoMetaDataAndUrl(video, "http://www.smallImage.png");
            break;
        case "CAT3" :
            updateVideoMetaDataAndUrl(video, "http://www.mediumImage.png");
            break;
        default:
            break;
    }
}

private void updateVideoMetaDataAndUrl(Video video, String url) {
    video.setLargeImageUrl(url);
    updateMetadata(video);
}

Now by extracting out this common method, updateVideoMetaDataAndUrl, we have reduced the cyclomatic complexity to 4. We could reduce this further by eliminating the need for a switch statement with polymorphism.  I leave that to you as an exercise.

Conclusion


As we can see it’s a simple refactoring effort to reduce the cyclomatic complexity of methods and by extension classes.  I would however like to mention that having unit tests in place before you begin the refactoring is ideal to ensure you don’t make any breaking changes.

If you want to learn more about writing clean code, I highly recommend the book Clean Code by Robert Martin. 

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