The results from the test execution are recorded and evaluated and any bugs or defects are usually logged into some kind of bug tracking system. Fixed bugs are retested and this cycle continues until the software meets the quality standards criteria for a shippable code.
Plan how to test, design the tests, write the tests, execute the tests, find bugs , fix bugs , release software. The standard process of testing tends to run into some problems on Agile teams where new features are being coded and implemented every couple of weeks or so.
Many teams try to either strictly follow the standard testing process or completely throw it out the window instead of working it into the Agile testing lifecycle of software development process.
Instead, the focus really has to change to developing the test cases and test scenarios up front , before any code is even written and to shrink the test process into a smaller iteration, just like we do when we develop software in an Agile way. This just means that we have to chop things up into smaller pieces and have a bit of a tighter feedback loop. Instead of spending a large amount of time up front creating a testing plan for the project and intricately designing test cases, teams have to run the testing process at the feature level.
Each feature should be treated like a mini-project and should be tested by a miniature version of the testing process, which begins before any code is even written. In fact, ideally, the test cases are created before the code is written at all—or at least the test design, then the development of both the code and the test cases can happen simultaneously.
Since new software is released on very short iterations, regression testing becomes more and more important, thus automated testing becomes even more critical. In my perfect world of Agile testing, automated tests are created before the code to implement the features is actually written—truly test driven development—but, this rarely happens in reality. What about you, the software developer?
What is your role in all this testing stuff? One of the big failings of software development teams is not getting developers involved enough or taking enough ownership for, testing and the quality of their own code. Instead, you should absolutely make it your responsibility to find and fix the bugs before your code goes into testing.
The reason is fairly simple. The further along in the development of software a bug is found, the more expensive it is to fix. If you test your own code thoroughly and find a bug in that code before you check it in and hand it over to QA, you can quickly fix that bug and perhaps it costs an extra hour of time.
A development manager decides that the bug is severe enough for you to work on and the bug is assigned to you. The tester goes back and checks that the bug is actually fixed and marks the defect as resolved. Ok, so by now, hopefully, you have a decent idea of what testing is, the purpose of testing, what kinds of testing can be done and your role in that whole process. Black-box testing sounds a whole lot like functional testing.
Oh, and also the same question for regression testing versus automated testing. Many of these testing terms are basically the same thing. Sometimes I feel like the whole testing profession feels the need to invent a bunch of terminology and add a bunch of complexity to something that is inherently simple.
To address some of the specifics. Black-box and white-box testing just refer to how the functional testing or other testing is done. Are you looking at the code to give you hints about what to test or are you treating the whole thing like a mysterious black box? For automated testing versus regression testing, again, we are dealing with a higher concept and implementation.
Regression testing is the concept. Part three consists of essays that summarize the attitudes and responses to the letters sent to the Evil Tester. Richardson's Evil Tester persona, it seems, wants to encourage readers to unleash the evil tester within.
Web and mobile technologies continue to evolve, which means delivery teams must evolve as well. Kinsbruner offers encouragement to those struggling to keep up with trends and practices in the development, testing, and releasing applications, and he serves up examples of real-life scenarios where teams overcame challenges to grow and thrive in the digital age.
The book is divided into four sections. The first is all about how to get started with mobile testing. The second addresses advanced automation techniques. The third covers testing in DevOps, and the fourth tackles production and performance testing in the digital era. Kinsbruner encourages readers to pick the section of the book that resonates with them most and read that section first.
These are my picks for the best recent books on software testing. What are yours? I look forward to reading your comments about these titles and others you've read. And if there are other testing books you recommend, feel free to leave a comment below to share. Meaghan Lewis works as a quality engineer at GitHub. She's going to be a roundtable expert at the Automation Guild conference , which is an online test automation conference that runs January 8—10, Go see her at the discussion!
Take a deep dive into the state of quality with TechBeacon's Guide. Plus: Download the free World Quality Report Put performance engineering into practice with these top 10 performance engineering techniques that work. Discover best practices for reducing software defects with TechBeacon's Guide.
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