Think Like a Tester

It’s a new year, and a new year means it’s time for new challenges! My challenge to you is: this year, learn- and I mean REALLY learn- a programming language. Don’t just learn “enough to be dangerous”, or enough to write test automation; really understand the components of the language and how to use them.

I did this last year, and it was one of the most rewarding things I did! I’ve always liked Node, so I decided to learn Node.js. I took this awesome course; it took about nine months for me to complete it, and it was definitely worth the time it took.

Why should you take the time to really learn a programming language? Here are four reasons:

1. You will understand what your test code is doing
   We’ve all done it- we want to get something done in our test automation, we do a quick search on Stack Overflow to see how other people have accomplished it, and we copy and paste their code. But when we do this, we don’t really understand what our test code is doing. This can result in flaky tests that we don’t know how to fix. When we fully understand our code, however, it’s easy to fix.
   
2. You will write better code, which means more maintainable tests.
   When you understand the principles of writing code in your chosen language, you’ll write clean code. You’ll know how to set things up like the page object model, and refactor code to make sure you’re not repeating yourself. You’ll put values into a config file so that your code will be easily reusable by everyone on your team. This will result in tests that are easy to maintain.
   
3. You will have sympathy for developers.
   Early in my testing career, I’m ashamed to say that I had a certain disdain for developers who couldn’t figure out how to validate date fields or phone numbers. When I tried coding these things myself, however, I discovered just how difficult they were. Coding is hard! Once you’ve tried writing an application and struggled with what seems on the surface to be a simple problem, you’ll respect the developers you work with so much more. This will enable you to work together more effectively.
   
4. You will understand your product’s code better.
   Understanding how to code in your chosen language won’t just make you better at writing code, it will make you better at reading code. You’ll be able to look at your production code and see what it’s doing and why. This will give you ideas for how to test it. For example, if you looked at the code for a form field and you saw that one of the values was expecting an enum, you might decide that it would be a good idea to try entering a value that wasn’t included in the enum, or a value that wasn’t in all caps, to see if the program would respond appropriately.
   

So this year, I challenge you to really learn a programming language! And once you’ve completed whatever course you’ve chosen, try writing an application on your own. I’ll be using the skills I learned in the Node.js course I took to create a simple application that readers of my forthcoming book will be able to use for testing practice. Let’s all become better coders together!

I’ve been reading and reviewing one quality-related book a month for all of 2020, and it’s been a lot of fun! It was a great way to motivate myself to read books on software testing. My final book review of the year is “Leading Quality”, by Ronald Cummings-John and Owais Peer. The authors started their own business, which provides global testing services and test strategy for companies. In Leading Quality, they discuss the important lessons they’ve learned about how businesses think about and generate quality in their applications.

The book is designed for quality leaders, and it is made up of three sections. In Section I, Becoming a Leader of Quality, the authors discuss the three quality narratives that often define a company’s test strategy. None of these narratives are “wrong”; they are simply a way to define how your company is currently thinking. The Ownership Narrative focuses on who is responsible for quality. Ideally, the answer should be “Everyone”! The “How to Test” Narrative focuses on what tools and techniques are used in testing. It’s important to have a clear understanding of what your options are and what the maturity of your product is when using this narrative. The Value Narrative focuses on what the return on investment is for quality activities. This could include metrics like revenue potential, savings, and risk mitigation.

Section II, Mastering Your Strategic Decisions focuses on making decisions about when and how to test. There’s a discussion of the three stages of product maturity: the validation stage, where a new product is in its infancy and the team is rushing to get it to market and prove the idea; the predictability stage, where the product has been proven and now the team is focused on cleaning up tech debt in order to be ready to scale; and the scaling stage, where the product has a high number of users and the team is focused on minimizing the negative impact of any bug.

Section III, Leading Your Team to Accelerate Growth, discusses the steps for creating quality at your company: set the vision, assess your starting point, and determine a strategy to achieve the vision. Expect that the strategy will change as you go. Determine what company metrics you’d like to align with to measure your success. Examples of metrics include: attention-based, which measures how much time a user spends on the platform, transaction-based, which measures sales, and productivity-based, which measures how quickly a user can be successful at an activity.

Leading Quality is a short book that is packed full of valuable suggestions for any team or company leader. I recommend it to anyone who would like to think about developing an effective quality strategy for their company.

Now that I’ve completed my twelve book reviews for the year, I thought it would be helpful to show the whole list here:
Agile Testing Condensed, by Lisa Crispin and Janet Gregory
The Unicorn Project, by Gene Kim
Enterprise Continuous Testing, by Wolfgang Platz with Cynthia Dunlop
Continuous Testing for DevOps Professionals, by Eran Kinsbruner and contributors
Perfect Software and Other Illusions About Testing, by Gerald Weinberg
Unit Testing Principles, Practices, and Patterns, by Vladimir Khorikov
Performance Testing- A Practical Guide and Approach, by Albert Witteveen
Explore It! Reduce Risk and Increase Confidence with Exploratory Testing, by Elizabeth Hendrickson
Accelerate: The Science of Lean Software and DevOps, by Nicole Forsgren, Jez Humble, and Gene Kim
The Way of the Web Tester, by Jonathan Rasmusson
Clean Code, by Robert C. Martin and contributors
and of course, Leading Quality, by Ronald Cummings-John and Owais Peer

And now for the BIG news! All year I have been working on a book of my own: a comprehensive look at software testing! I’m nearly finished with the first draft and will be refining it and publishing it in the next year. In order to have the time to work on this massive project, I will be scaling back my blog posts to one post a month. If you’d like to stay informed about my progress on my book, be sure to sign up for my email list using this form.

I wish you all a Happy 2021, and happy reading!

Last Feburary, I checked out Cypress for the first time, and I was astounded! I wrote a post about just how easy it was to get started running Cypress. Cypress is so easy to set up because it runs within your native browser (or headless), so you don’t need to bother with browser drivers as you do with Selenium.

In June, the folks at Cypress announced that they had created a “Real World App”, which is an app designed to help people learn how to use Cypress automation for both API and UI testing. The instructions for getting started with the Real World App are fairly simple, but I thought I’d try to make them even simpler in this blog post.

Prerequisites: To use the Real World App, you’ll need to have Git, Node, and Yarn installed. You can check to see what you already have installed by going to your command line and typing:
git –version
node –version
yarn –version
If you get a version number in response to each of these commands, you are off to a great start! Note that you will need to have Node version 12 or above in order to run the Real World App, so if you have a version below that, you can follow the same instructions to update Node as you would to install Node.

To install Git, go to this page and follow the instructions for your operating system.
To install Node, go to this page and click on the LTS tab. Download either the Windows Installer or the MacOS Installer, open the installer, and follow the prompts.
To install Yarn, go to this page and follow the instructions for your operating system. For MacOS, I recommend using the Homebrew option. For Windows, I recommend downloading the msi installer.

Once you have followed all of the installation instructions, check one more time to make sure that the installations were successful by running these commands:
git –version
node –version
yarn –version

Cloning the App: You are now ready to copy the Cypress Real World App to your machine. First you’ll need to clone the project in Git:
* Go to this page, and at the top of the page you’ll see a button that says “Code”.
* Click on this button, and in the dropdown, click on the clipboard icon. This will copy the Git address of the Real World App code.
* Navigate in your command line to where you would like to install the app. (If you don’t know how to do this, check out this post.) Then type git clone, and paste the Git address that you copied in the previous step. Click Enter, and the app will be cloned to your directory.

Installing and Running the App: To install the application, first navigate to your new project location in the command line and then type yarn install. Yarn will look at all of the dependencies needed to run the app and install them for you. Next, type yarn dev in the command line. This script will start up the application on your machine. You’ll see a new tab open up in your browser with the app’s login page!

Get to Know the App: Take a moment to log into the app and see what you can do with it. When the application started up, it created some sample users that you can use to log in. To find a username, open a new tab in the command line window, navigate to your project location, and then type yarn list:dev:users. Choose one of the usernames, and log in with the password s3cret. Once you’re logged in, try doing things like creating a new bank account and sending money to another user.

Start Cypress: At this point, we’ve started the app, but we haven’t started Cypress! Let’s do that now. Type yarn cypress:open in the command line. You should see the Cypress window open, and the window will list several api and ui tests.

Run the Tests: In the upper right corner of the Cypress window, you’ll see a play button with the words “Run 16 integration specs”. Click on this button. A test runner window will open, and you’ll see the tests fly by! Marvel at the fact that you can run over 100 tests in just over 2 minutes. The first set of tests are the API tests, so you won’t see anything happening in the right side of the test runner window. When the UI tests begin, you’ll see everything that’s happening in the UI in the right side of the window. When the tests are done, try running just a single test script by clicking on it in the Cypress window.

Look at the Test Code: Now it’s time to look at the code that runs the tests. Open up the cypress-real-world-app folder using your favorite code editor (I’m a huge fan of Visual Studio Code, which works in both Windows and MacOS). To find the test scripts, click on the cypress folder in the file explorer of the code editor, then click on the tests folder. You should see two folders of test scripts: one for the API tests and one for the UI tests. These should match what you see in the Cypress window. Click on a UI test and on an API test to see what they look like. See how much of the code you can understand.

Make a Small Change to the Code: Let’s try making a change to the code. First, let’s run a test. In the Cypress window, click on the auth.spec.ts test. A new test window will open and run that test script. Now open up the auth.spec.ts file in your code editor. Make a simple change to the code, such as changing the last name in the userInfo (line 39). Save the change, and watch the tests automatically run again in the test window. In the test window, if you open up the test called “should allow a visitor to sign-up, login, and logout”, you can scroll over the different steps of the test and see snapshots of what was happening at each step, including adding the new last name from line 39.

Continue Your Exploration: Keep playing around with the code to see how much you can understand. When you are feeling more confident, try creating your own test script using the elements in the existing tests. Simply add a new file to the api or ui folder, and make sure it has .spec.ts at the end of the name. You should see your new test added to the Cypress window, and you can run it by clicking on it.

I hope that this exercise has shown you just how easy it is to get started with Cypress! For more information, check out Cypress’ excellent documentation.

Continuous Deployment (CD) is often seen as the “Holy Grail” of software development. A developer checks in code, and it is miraculously deployed and tested in the QA, Stage and Production environments, without needing any human intervention at all. This sounds great- and it is- but only if you are ready for it! Here are five reasons that your team might not be ready for Continuous Deployment.

Reason One: You Don’t Have Enough Test Coverage

Sometimes teams can be so excited to set up Continuous Deployment that they don’t pay attention to what they are testing. It’s great to have tests pass and deployments automatically go all the way to Production, but if you are missing tests for important functionality you’re going to need to remember to do manual testing with every deployment. Otherwise, something could break and the automated tests won’t pick up on the problem.

The remedy: Make sure you have all the tests you need before you set up CD.

Reason Two: Your Tests Are Flaky

If your tests aren’t reliable, you are going to get all sorts of false failures. With CD set up, this means that deployments will fail. If your developers are trying to deploy to the QA environment, but they can’t get their code there because of your flaky tests, they will be annoyed. And no one wants to have to stop what they are doing to investigate why your automation failed in Production.

The remedy: Make sure your tests are reliable. If there are flaky tests, pull them out of the test suite until you can fix them, and make sure that you are manually testing anything that’s no longer covered by automation.

Reason Three: Your Tests Take Too Long

UI tests can take a very long time. If you really want to set up CD, you’ll have to consider just how much time they are taking. If developer A checks in code which kicks off the tests, and then has to wait for an hour to find out if the tests have passed, and meanwhile developer B checks in code which now has to wait until the first deployment has completed, soon you will have a mess on your hands.

The remedy: Make sure your tests are fast. See which tests you can shorten through strategies like: switching to API tests for testing back-end logic, setting up your test data ahead of time, using API and other services calls to set up conditions for tests, running tests in parallel, and eliminating redundant tests.

Reason Four: You Don’t Understand the Deploy Process

Having CD set up won’t be helpful at all if you and your team don’t understand how it works. When things go wrong with a critical deployment, you don’t want to have to find someone in DevOps to help you diagnose the issue. That will waste the DevOps member’s time and cause stress for everyone on the team.

The remedy: Make sure everyone on the team understands the deploy process. Learn how to configure the deploys, what common errors mean, how to fix a hung deploy, and so on. Take turns monitoring the deploys and solving problems so you aren’t dependent on one team member who can then never take a vacation.

Reason Five: You Don’t Have Alerting Set Up

Just because your deployments are now automatic doesn’t mean you can sit back, relax, and never think of them again! Sometimes your tests will fail, sometimes your connections to dependencies won’t get configured properly, and sometimes a flaky thing will happen that will fail the deployment. You don’t want to find this out from your CEO, or someone in DevOps, or your customers!

The remedy: Make sure that you have alerting and paging set up when deployments fail. You could have the person that made the code change get paged when there’s a failure, or you could have everyone on the team take turns being the one on duty for that week. Make sure everyone takes their paging seriously; if they’re on call for a week where they’re going to be on vacation, they should find someone to substitute for them.

Continuous Deployment, when done correctly, is a valuable tool that makes it easier for teams to quickly produce quality software. But be sure that you are completely ready for this step by taking an honest, objective look at these five reasons with your team.

Anyone who has ever done laundry has most likely faced the issue where they are folding their recently washed clothes and they discover that they are missing one sock. Sometimes the sock is missing because it never made it into the laundry basket. Sometimes the sock was left in the washing machine. There are even jokes about how the clothes dryer sends socks into another dimension!

What’s interesting is the reaction that people have to the missing sock. Some people shrug their shoulders and figure that the missing sock will turn up eventually. Others will spend most of their day looking for that missing sock: they’ll search through the laundry room, all of the undone laundry, their closet, under the bed, etc.

This is a great metaphor for what testers do when they encounter a strange and hard-to-reproduce bug! Some testers decide that since the bug is hard to reproduce, they should go on and test something else. Other testers decide to devote every moment to finding the cause of the odd behavior, to the exclusion of all other testing. Which is the correct behavior? The answer is: “It depends”. In this post, I’ll list three reasons why you might want to hunt for the elusive bug, and three reasons why you might want to put off the hunt for later.

Reasons to Hunt for That Bug:

When the bug happens, it’s a big deal
You might be testing a system where everything works just fine most of the time. But when the bug occurs, the system crashes, or data is lost, or a customer can’t submit an order. This is a serious problem. Even if the bug happens just 1% of the time, it’s important to figure out what’s going on, because you will lose users as a result of this issue.

The problem is intermittent, but happens frequently
Currently I’m plagued by a bug in some software I’m using. I’m logged into the software, but about 50% of the time the application forgets who I am. This is really annoying. If someone were to ask me about this software, do you think I’d recommend it? If I didn’t need this tool for my work, I’d have switched to something else a while ago. You don’t want your users to give you poor reviews or stop using your application!

The problem hints at an important performance issue
Perhaps your software works just great when you test it with one or two users in your test environment, but you’re seeing strange behavior in your Production environment. Don’t just shrug this off with a “Works for me” statement! This bug could indicate that there is a problem with your application when it’s under load. Perhaps there’s a memory leak that gets worse the longer the application is used. Or maybe the calls to the server are taking too long, and the problem is compounded as more and more calls are made, locking the database. Whatever the reason, it’s important to find out the root cause of the problem and fix it before your customers see it.

Reasons to Save the Hunt for Later:

You’ve been testing for weeks, and you only saw the problem once
We all know that software and hardware isn’t perfect. Strange glitches can happen, including service interruptions in hosting environments, power surges on equipment, and loss of electricity or Internet connection. The bug that you saw just once could have been caused by any one of these things. This is the kind of bug to watch for, but not to chase after. If it happens again, then you can start looking into it.

You’re pretty sure you know the cause already
If you think that the reason why you saw a bug is because a team member forgot to deploy one part of the application, or someone forgot to turn a toggle on, or your test user was deleted; and the bug went away as soon as those things were fixed, then there’s probably no reason to hunt any further.

You are in a time-sensitive situation, and you think the issue doesn’t pose a risk
It’s very aggravating to have a giant bug show up in Production and then hear from a tester “Oh, I saw that bug, but we were in a hurry and didn’t have time to investigate.” But if the bug is something obscure that you think that a user will never do, and you are needing to meet an important deadline, it might be okay to wait until after the release to dig in further.

Here’s an example: a team is trying to release some new search functionality to their application. The team has been testing for weeks and it appears that things are working well. The day of the release, a tester discovers that if she enters a search term with 1000 characters, there is an intermittent bug. Rather than calling off the release and spending hours looking for the bug, the team should probably go forward with the release and investigate later; because it’s very unlikely that end users will be doing searches on 1000-character terms.

Do you have a “missing sock”?
The next time you encounter a strange bug, ask yourself: is this something that should be investigated now, or something that can wait until later? The size of the bug, the frequency of the bug, and likelihood that it will be seen by users can help you decide.

“Clean Code”, by Robert C. Martin and guest contributors, is frequently mentioned as one of the top books that software developers should read. I had been wanting to read the book for years, but I knew that it would require a big time commitment. Since I had a goal of reading one tech book a month this year, I decided it was time to take the plunge and finally read it!

I was fairly certain that I would learn a lot about good coding practices, and I definitely did. But what really fascinated me was the emphasis on testing! The author states that it’s not possible to refactor code well unless you have good tests in place. He sites this example from when he was coaching a team who decided that their test code didn’t need to be maintained to the same standards of the production code:

“From release to release the cost of maintaining my team’s test suite rose. Eventually it became the single biggest complaint among the developers. When managers asked why their estimates were getting so large, the developers blamed the tests. In the end, they were forced to discard the test suite entirely. But without a test suite they lost the ability to make sure that changes to their code base worked as expected. Without a test suite they could not ensure that changes to one part of their system did not break other parts of their system. So their defect rate began to rise. As the number of unintended defects arose, they started to fear making changes…Their production code began to rot.”

As someone who is passionate about software quality, I knew that automated tests were crucial. But I didn’t realize just how crucial they were for simply keeping production code clean and updated!

In one of the main sections of the book, the author gives an example of completely refactoring a parsing tool that he had created. One step at a time, he pulls out arguments from functions and puts them in new functions, creates interfaces to reduce code repetition, and so on. The reason he is able to make all these changes to clean up his code is that he has tests in place! He begins his refactoring by making sure that all the tests pass. Then he makes one change at a time, running the tests after each change. As long as the tests continue to pass, he knows he’s not breaking anything.

Software testers might be reading this review and saying to themselves, “This is great! I’ll tell all my developers to read this book.” While that is a great idea, software testers need to read the book too. Because now that we know that the quality of test code is just as important as the quality of production code, we need to write really clean code as well!

Some of the important clean coding principles outlined in this book are:
• the name of a variable, function, or class should tell you why it exists, what it does, and how it is used
• functions should do only one thing, and they should do it well
• functions should either do something or answer something, but not both
• functions should be read from the top down: if function A calls function B, function B should be listed below function A
• strive to use as few arguments in a function as possible; two should be the maximum
• avoid writing comments as much as possible; the code itself should clearly state what it does through good naming
• standardize on common spacing practices, so everyone’s code looks the same; this will make it easier to read
• don’t leave commented-out lines in the code; either delete them or fix them. The longer they are there, the more others will be afraid to touch them for fear of breaking something, and they will clutter up the code

I learned all this and so much more in “Clean Code”. I recommend that everyone who writes any type of code, production or test, take the time to read this book and put its recommendations into practice.

One of the difficulties of being a software tester is that when you’re doing your job really well, it’s unnoticeable! Unlike software developers, who are creating a product that will then be seen by management, software testers create tests that will help validate that the product is working correctly. When we do a great job, it’s not clear what the difference is between the product that would have gone out to production if we hadn’t found all the bugs, and the product that actually did go out to production.

The problem with not being seen by management is that it becomes difficult to advance in one’s career. Fortunately there are four different ways that we can make sure that our managers and others see the impact we are making.

Tell Them:
Make sure that you are letting your manager know all of the ways you are helping to make a great product. For example, in your daily stand-up meeting, you could say “I found an important bug yesterday in the chat feature that would have kept users from accessing their chat window if it went to production.”

Also be sure to mention whenever your test automation catches a bug: “Our automated regression suite caught a critical bug on the User Info page shortly after the change was deployed to the QA environment.”

Show Them:
Managers love dashboards and metrics. Remember that managers often have their own managers to whom they need to report. If you can make your manager’s job easy by providing them clear data about the quality of your application, they will be very grateful.

For example, you could create a dashboard that shows the pass/fail rates of your nightly regression tests. This dashboard could show the different environments you are testing in, and ideally it should show that the passing rates in your Production environment are near 100% because the automation found the bugs well before the new code made it to Production.

Or you could start keeping metrics of escaped defects: these are bugs that made it to Production without being noticed. Ideally the number of escaped defects will be zero, but even if it isn’t, your metrics for each release can demonstrate that your team is getting better at releasing bug-free code.

Teach Them:
Having lots of great software testing skills is awesome, but what is even more awesome is teaching those skills to others in your company so they will be as effective as you are. Your company probably has a number of different ways that you can teach others testing-related skills. For example:
* Talking about an automated test framework you are using in a departmental meeting
* Leading a workshop for other testers about how to adopt the test framework
* Mentoring a new or struggling tester

Lead Them:
Your manager can’t see you as a leader if you don’t speak up! One great way to lead is to suggest process improvements for your team during your Sprint Retro meeting. When your team adopts those ideas and sees the quality of your product improve as a result, you’ll be seen as a positive change agent.

Setting up a Community of Practice (CoP) meeting is also a great way to stand out as a leader. In the meeting, all the testers at your company can gather together and share ideas and solve problems. If your company already has a CoP meeting, volunteer to lead a discussion or talk about an innovation that your team recently adopted.

Common Objections to Being Seen:
Software testers are often introverts. Many of them enjoy working quietly, testing features and writing automation without much interruption from others. Some prefer not to be the center of attention. It’s OK to feel this way, but it will not get you promoted!

If you are shy or fear public speaking, start out by making small improvements. You could begin by creating a blog post or test dashboard. Then you could try adding one comment in each Sprint Retro meeting. Next, you could volunteer to demo a new feature at a meeting. You can continue to add small steps in this way until you feel comfortable enough to run a workshop.

Final Thoughts:
Software development processes have come a long way in the past two decades; there are very few managers today who don’t understand the importance of software testing. But they may not notice your contributions to your product unless you make sure to be seen. I hope that the above suggestions will help you show your manager what a great asset you are to your team.

It’s been my experience that working with Regex makes everyone’s head hurt. No one wants to have to look at ^(19|20)\d\d[- /.](0[1-9]|1[012])[- /.](0[1-9]|[12][0-9]|3[01])$ and figure out what it means!

But in spite of that, Regex is a very powerful tool, and it’s good to know how to use it, even if (like most people) you’re not an expert. This post will serve as a very gentle introduction to Regex, so that when you encounter it in your testing you’ll feel more comfortable with it.

The first thing you should know about Regex is that it stands for “Regular Expression”. It’s simply a sequence of characters that define a search pattern. It’s very useful for doing things like editing a string or checking to see if a phone number, date, or postal code fits the accepted pattern.

The second thing you should know about Regex is that it’s a lot easier to use when you have a Regex tester available! I like to use regexpal.com, but there are many other free testers available on the Web.

Regex varies slightly depending on what language you are using, but the basic building blocks of Regex are the same in each. Here are ten different Regex symbols that will help you get started:

^ : The carat symbol indicates that you want to match the beginning of a word. For example, if you were using a pattern that started with ^ball, you could match the word ball or the word balloon, but you could not match the word football, because it doesn’t begin with ball.

$: The dollar symbol indicates that you want to match the end of a word. So if you were using a pattern that ended with ball$, you could now match the word football, but you couldn’t match the word balloon, because it doesn’t end with ball.

. : The period symbol will match any character. You can use this when one of the characters in a string is going to vary. So if you had the pattern foo.ball, you could match football or foosball.

*: The asterisk symbol indicates that the character should be matched one or more times. In the pattern fo*tball, the letter o can be matched one or more times. So with this pattern, you could match fotball, or football, or even foooooooootball.

\d: The slash and d symbol matches any numeric digit. The pattern football\d will match football1, football2, football3, and so on, but not football or football!.

\w: The slash and w symbol matches any character from the basic Latin alphabet. So if you were looking for a pattern of 12345\w, it would match 12345a, 12345b, 12345z, and so on, but wouldn’t match 123456 or 12345!.

\s: The slash and s matches a space. If you had a pattern of foot\sball, it would match foot ball but not football.

[ ]: The square bracket symbols indicate a character set. So if you wanted to match any number from 1 to 5, you could use [12345]. A pattern of football[12345] would match football1, but not football6.

|: The pipe character is an either/or pattern. A Regex pattern of cat|dog will match cat, and will also match dog.

( ): The parentheses group pattern items together, the same way they do in mathematical expressions. Let’s say you were trying to find a match for November or December, but not for September. You couldn’t just use a Regex pattern of ember, because that would match all three months. But you could use (Nov|Dec)ember; using the parentheses combined with the pipe character shows that the month could either have Nov or Dec, and then should continue with ember.

I’ve kept these examples very simple, because there is so much to Regex that you could spend months learning it, and it is very easy to get confused! But these commonly used symbols should be enough to get you feeling a bit more comfortable with it. Take some time to play around with a Regex tester to practice what you’ve learned, and if you’d like to learn more, try an interactive tutorial like regexone.com. Have fun!

The summer after I graduated from high school, I got a job at a discount department store. In my first week on the job, I was trained to use the layaway register. Then the employee who trained me left to work elsewhere. Consequently I was the only non-management employee who knew how to use the register. This made me feel special and important! Unfortunately, it also meant that I got put on 12-hour shifts, and that my lunch break was frequently interrupted, because management needed me to be on that register.

As a software tester or developer, it’s fun to feel like you are the only one who understands how something works! But this is no good for you, or for your company. For example: Bob is the only one who understands the build system. Others can use it, but whenever the slightest thing goes wrong, people call on Bob for help. This means that Bob’s nights and weekends are frequently interrupted by pages, so he never feels like he really gets any down time. Or consider Marge: she is a great software automation engineer who wrote the entire automation test suite. But she is the only one who knows how to run and debug the tests. So when Marge goes on vacation and tests fail, no one knows if there’s something really wrong or if the test is just flaky. This means that sometimes bugs slip out into Production.

It’s great to have specialized knowledge, but make sure you don’t have a monopoly on that knowledge! You need to teach other people to be able to do what you do. Many people object to this idea, saying they don’t have time to teach others. But really, you don’t have time NOT to, because if you don’t you and your product will suffer.

Here are some ways to share what you know with others:

Have someone shadow you
While you are doing that thing that only you know how to do, let someone watch you do it and ask questions. The more they get their questions answered, the more they will understand the process.

Have a group training session
Create a presentation that will show people what you do and how you do it. You can even give them some hands-on activities to practice what they are learning. And if you record your presentation, you’ll be able to teach people in the future without doing a thing!

Do one-on-one training
If something is so complicated that you think you can only train one person to do it, set aside a big block of time to train them. But once they are trained and have proven that they can do the job, make sure they train someone else, because the more complicated something is, the more important it is that several people know how to do it.

Write good documentation
Sometimes leaving clues in the form of really good documentation can be helpful. If you are good at writing directions, you can create a step-by-step process that anyone can follow. One caveat to this suggestion, though, is that software changes rapidly; instructions that are outdated will just serve to frustrate people and make things worse, so make sure to keep your documentation up-to-date.

Let someone else do the job while you are watching
There’s no substitute for having someone try something out themselves, encounter a problem, and figure it out on their own. If you are nearby, you can watch what they are doing and only step in and help if they really need you.

Let someone else do the job while you are elsewhere
Once your trainee is starting to feel more confident, have them do the task while you are off doing something else. Don’t go on vacation, though; be available to help if something goes really wrong.

Having a special skill can be a source of pride, but don’t try to hoard that skill! You’ll make your team better by training others to do what you do. And you may become even more skilled in the process!

As any regular reader of this blog will know, this year I’ve been reading and reviewing one testing-related book a month. Well, I’m cheating a bit this month! I’m currently reading a very long book that I knew would take me two months to read (Want to know what it is? Check back in with me in four weeks!), so this month I’m reviewing a book that I read a couple of years ago: “The Way of the Web Tester” by Jonathan Rasmusson.

“The Way of the Web Tester” is the book I recommend for manual testers who want to learn the basics of automated testing. It’s a friendly, accessible book that gives readers both the “big picture” about automated web testing and the details about how to implement it well.

The book is organized in two parts: Part I describes the basics of how automated testing works, and Part II is devoted to helping people who are new to programming understand good coding techniques.

In Part I, the author begins by explaining the automation test pyramid, and then describes each level of the pyramid from top to bottom. He begins with the top level of the pyramid because that’s the most accessible to manual testers, and this idea makes a lot of sense; when you’ve been testing a system by going to the web page and clicking buttons, it’s easy to transition to automation that goes to the web page and clicks buttons!

The author then moves to integration tests, explaining how HTTP and REST requests work, and then to unit tests. Finally, he gives examples of how the all the tests can work together to test an entire system. I really like how he emphasizes that developers and testers should be working together to create test automation, so that work isn’t duplicated.

My favorite part of Part II is the Programming 101 chapter, where important practices such as choosing good variable names, spacing code, and using the DRY (Don’t Repeat Yourself) principle are discussed. These are so valuable to people who are new to coding.

Another thing I love about the book is the use of two cartoon characters. They are “Tim the Tester” and “Diane the Developer”, and they pop up throughout the book, asking questions that the reader might be wondering, such as “How do I know if I’ve written enough tests?”

If you are new to automated testing, or if you’ve struggled with it in the past, “The Way of the Web Tester” is definitely a book you will want to read. But it’s not just for beginners! I learned a number of things from the book as well, such as how mocking works and how to write unit tests that test UI elements. It’s a great, easy-to-understand book for anyone who’d like to make their test automation more robust.