It’s clear that there’s a point where a comprehensive testing cannot be performed by creating a set of tests using a non-formal or even random approach. Experienced testers have to address different testing techniques to maintain acceptable level of coverage and high bug detection rate within a tight schedule. In this article we are going to look at and get familiar with one of the most effective yet easy-to-use testing techniques called pairwise testing.
To use or not to use – every customer asks themselves this question, when it comes to mobile automation testing. They say that development and supporting of UI auto tests costs too much. But let’s return to the statement a little bit later. And now we are going to discuss the following questions: what is mobile automation, who is it for, what for and do you actually need it?
When REST API is tested, one has to take into account a number of low level details. This makes test execution reports verbose, difficult for reading and complicates the maintenance of the test scripts. For instance, the backend of an application consists of about 15 services and a separate service, that provides API for the mobile client. The minimal set of integration tests contains about 400 tests, which create more than 70000 rows of log files. To sort out such size of the text file, generated by only one run of the test is not feasible, even with joint effort of the entire QA department.
In this article we will examine how to make tests execution reports more comprehensive, using a specific tool – Allure, created by Yandex company. Yandex Allure is one of the solutions to the task for the design of the testing reports.
Testers on the project usually deal with described requirements for which it is necessary to make an assessment of the testing time, write a test plan, compile a set of tests and conduct tests. When performing this work, the tester very often encounters the need to clarify the requirements, rewrite incorrectly formulated or contradictory descriptions. In the process of clarifying the requirements there is a need to modify, supplement, rewrite tests. Since the tester verifies positive and negative scenarios, the work of users with different access rights, the operation of the script with different preconditions, then the number of test scenarios written for the requirements is usually greater than the scenarios described by the analyst. If the analyst makes changes or rewrites a requirement, then the tester needs to make changes to all related tests. This work takes a very long time. How to reduce the time to work with requirements during testing?
In this article, we will discuss the best practices when using the Apache JMeter. Each tool has its own advantages and disadvantages and we will specify the points to which you should pay attention when working with this tool. Apache JMeter is one of the most popular load testing tools. It can be used to test the performance of both static and dynamic resources.
Writing test cases is one of the basic options within a QA engineer’s arsenal. Properly written test cases may be applied to almost any development methodology, testing technique or project size. They can provide QA team with a crucial success or easily become the most annoying part of the testing process. This guide is intended to help QA engineers of any experience to achieve the first and avoid the latter.
Our previous article described how to build a template for a testing round and what and why we need for that. But such template is just a tool and it is useless when not used correctly. So let’s drill down into QA process and its procedures we are using to let the testing be flowing fast and easily. Below, we are going to share the detailed instructions as well as some QA process improvement ideas.
This article describes our best practices in building the QA process for a software development project. What are our main goals in it?
Fast and featureful
First, the delivery of new software versions to end users as fast as possible is vital for software development nowadays. Fierce competition in the software market compels software companies to release new features sooner than their rivals to attract users. As a result, the Agile techniques have spread widely as they combine flexibility and short delivery cycles.
For most developers performance testing sounds like something really difficult to get started on. It might come to mind that some special and usually expensive environment and tools to test the performance.
Well, sometimes you do indeed need them to test the network communications impact, or if you have a cluster and want to measure its capacity, for example. But if you have some small system or you don’t have a lot of money, you may still face performance problems. Sometimes you can’t scale the environment, because it is expensive or your code has bugs preventing it from scaling.
Performance testing is a type of testing proceess to determine the responsiveness, throughput, reliability and scalability of a system, it has under a certain load. The goal of the performance testing is one of the listed below:
- To assess readiness of the system for the production release,
- To evaluate performance of the system against some baselines,
- To find the best configuration settings of the system,
- To find the source of performance,
- To determine throughput levels.