by admin | Aug 30, 2019 | Automation Testing, Fixed, Blog |
Automated software testing schedules have the ability to increase the depth and expand the scope of software testing while elevating the quality of software applications and packages. Today, test automation frameworks are deployed to execute thousands of different complex test cases during every test run, thus providing expansive testing coverage, which would be impossible with manual testing. For instance, certain automated testing tools can playback pre-recorded and predefined actions, compare the results to the expected behavior of a software package, and report the success or failure of these manual tests to the software testing experts. Automation also boosts the repeatability of tests, which can be extended to perform tasks impossible with manual testing. These facts help leading software testing companies to promote automated software testing as an essential component of successful software development projects, while also measuring its success across a range of projects.
Test Management Tools
Testing engineers offering automation testing services should identify ‘candidates’ for automation during the process of defining test cases and testing scenarios. The salient features of a test management tool are flexibility and ease of use. Further, a good quality tool should be able to help testers identify any bugs in the project. Additionally, a test management tool should have the ability to execute various automation tests and scripts in batches or position these in the testing pipeline for scheduled testing or on-demand.
What to Automate
An intelligent automated testing strategy should be able to answer the questions: ‘where to automate’ and ‘what to automate’. Testing engineers must answer these queries to denote the layer of an application that must undergo automated testing. However, testing engineers offering automation testing services must bear in mind that although automated testing requires higher initial investment, it can yield a significantly higher return on investment. Therefore, teams of software testing experts should have answers to the questions mentioned to enable a better focus on their automation efforts.
Tool Selection
The correct automation tool is critical to ensure the success of automation testing. Hence, test engineers must, for instance, work to determine which tool could enable the automated testing of a desktop application. Further, factors such as language support, tool support, the availability of newer versions of a tool, support for API automation, and more, must be considered during the tool selection process. These factors can and should influence commercial decisions to purchase tools for firms that offer test automation services. Certain complexities may arise when a company engaged in automation testing services negotiates the process of tool selection in specific circumstances.
Environment Stability
Test automation thrives in stable testing environments. Hence, test engineers performing test automation services must consider factors such as dependency, availability and the up-time of a test environment. Testers should take a special interest in managing test infrastructure – such as hardware servers, application servers, networking, firewalls, software components required for testing, build software required for testing releases and more. Further, they must manage test environments such as database clusters, UAT, Pre-production, and the data required for testing. Additionally, testers must remain aware that test environments differ from production environments in several ways – these include operating systems, configuration, software versions, patches, and others. Therefore, the wider the gap between test and production environments, the greater the probability the delivered product will feature a range of bugs and defects.
Data Usage
Data and its appropriate usage are critical to devising a correct approach to automation. The complications associated with data bring up several unexpected challenges in automation testing. Therefore, testing engineers must find the means to randomly generate or obtain varied data input combinations as part of reinforcing their efforts towards test automation. For instance, data can be sourced from tables, files or APIs. Further, engineers must make qualitative judgments such as whether sourcing a certain type of data would affect the performance of scripts, and others.
In Conclusion
A well-calibrated and prudent approach to testing automation can elevate the quality of testing in software testing scenarios. Testers with the ability to put together a unique approach to test automation would be more successful in their chosen domain of work. Companies must partner with a leading software testing company to get the best service, experts, and top testing tools. Connect with us for all these features and more.
by admin | Aug 2, 2019 | Automation Testing, Fixed, Blog |
The norms of evolution in technology emphasize a shift from the manual to the automated. Software testing services are no exception and hence automation testing services are gaining ground within the industry. This shift is largely powered by a well-grounded view that test automation services help unearth a larger number of glitches in software applications and products. The very essence of automation has enabled it to emerge as a more reliable testing method, which the industry seems more than willing to emulate.
Is Automation Testing Necessary?
The answer is an emphatic yes and since automation testing represents the future of software testing processes and services. Intelligently framed testing scripts that would create accurate and repeatable automated tests across multiple mobile devices, platforms, and environments will most likely dominate the software testing industry in the years to come.
Effortless and Efficient Testing
Expert testers vouch for the efficacy of test automation services, saying that it offers seamless execution of software testing systems and principles. This approach, however, must be complemented by the clarity of the objective of the testing regime and the ability of software testing engineers to manage the rigors of such a testing method. The testers should be able to determine the purpose of a test script and only then consider automating to affect speedier and more efficient testing. Such practices drive a transition from manual testing systems to automation-driven regimes in the long term.
Storable, Customizable, and Reusable Scripts
Software testing systems evolved from manual practices to automated testing, being driven by the efforts and intelligence of human testers. Transitioning from a manual regime to automation testing services requires a graded and calibrated approach. It is possible to attain a middle ground when testers automate certain tests, which makes their execution more efficient. Benefits accrue since automated testing tools have the ability to playback pre-recorded and predefined actions, compare results with expected outcomes, and report the actual outcomes to the testing team. It is possible to repeat and extend automated tests to perform tasks, which would not be possible with manual testing.
Evaluating Tests
Testing managers understand the critical nature of automated software testing as an essential component of successful development projects. However, the existence and rationale of a test script must undergo interrogation before implementing it into an automated regime. A test scenario should merit testing in different ways to ensure the satisfactory coverage of a given set-up. The evaluation process must include queries designed to satisfy the curiosity of the tester regarding likely outcomes. It is important to ensure that the efforts focus on reviewing, refining, and tightening the repository of test scripts to retain a high degree of relevance.
Regular and Rigorous Evaluation
Test suites need regular evaluation by the creators of test automation services. Being able to extract significant value from the information created by executing various tests is necessary for the success of the project. This is a marked departure from mechanistic testing regimes dominated by legacy testing scripts. Therefore, providers of automation testing should invest time and effort to frame automated tests that conform to client requirements and can add value to the process of modern software development.
In Conclusion
Automated software testing regimens offer distinctive benefits by way of faster feedback, reduced business expenses, accelerated results, higher levels of testing efficiency, comprehensive test coverage, the early detection of defects, and thoroughness in testing outcomes. However, the transition from manual to automation testing services must have clear lines of thought and inquiry and must be complemented by a robust assessment of the benefits afforded by each script. Connect with us to leverage on our experience and expertise in the realm of automation testing services, and a much more.
by admin | Aug 1, 2019 | Automation Testing, Fixed, Blog |
Assertpy is a simple assertion library in python with a nice fluent API. All automation testing validations should be asserted. In Java, we use AssertJ to compare actual and expected result. However, Assertpy is a suitable package to write readable assertions with method chaining concept. Implementing BDD step definitions using Assertpy enables effective collaboration between testers and other stakeholders. Writing chaining method calls for assertion helps automation testers to understand the existing test scripts during maintenance.
Installation
Matching strings
assert_that('').is_not_none()
assert_that('').is_empty()
assert_that('').is_false()
assert_that('').is_type_of(str)
assert_that('').is_instance_of(str)
assert_that('foo').is_length(3)
assert_that('foo').is_not_empty()
assert_that('foo').is_true()
assert_that('foo').is_alpha()
assert_that('123').is_digit()
assert_that('foo').is_lower()
assert_that('FOO').is_upper()
assert_that('foo').is_iterable()
assert_that('foo').is_equal_to('foo')
assert_that('foo').is_not_equal_to('bar')
assert_that('foo').is_equal_to_ignoring_case('FOO')
assert_that(u'foo').is_unicode() # on python 2
assert_that('foo').is_unicode() # on python 3
assert_that('foo').contains('f')
assert_that('foo').contains('f','oo')
assert_that('foo').contains_ignoring_case('F','oO')
assert_that('foo').does_not_contain('x')
assert_that('foo').contains_only('f','o')
assert_that('foo').contains_sequence('o','o')
assert_that('foo').contains_duplicates()
assert_that('fox').does_not_contain_duplicates()
assert_that('foo').is_in('foo','bar','baz')
assert_that('foo').is_not_in('boo','bar','baz')
assert_that('foo').is_subset_of('abcdefghijklmnopqrstuvwxyz')
assert_that('foo').starts_with('f')
assert_that('foo').ends_with('oo')
assert_that('foo').matches(r'w')
assert_that('123-456-7890').matches(r'd{3}-d{3}-d{4}')
assert_that('foo').does_not_match(r'd+')
Matching Integers
assert_that(0).is_not_none()
assert_that(0).is_false()
assert_that(0).is_type_of(int)
assert_that(0).is_instance_of(int)
assert_that(0).is_zero()
assert_that(1).is_not_zero()
assert_that(1).is_positive()
assert_that(-1).is_negative()
assert_that(123).is_equal_to(123)
assert_that(123).is_not_equal_to(456)
assert_that(123).is_greater_than(100)
assert_that(123).is_greater_than_or_equal_to(123)
assert_that(123).is_less_than(200)
assert_that(123).is_less_than_or_equal_to(200)
assert_that(123).is_between(100, 200)
assert_that(123).is_close_to(100, 25)
assert_that(1).is_in(0,1,2,3)
assert_that(1).is_not_in(-1,-2,-3)
In Conclusion:
Assertpy development is still active. There are more assertions packages available in Python, we will review in the subsequent blog articles.
by admin | Aug 16, 2019 | Automation Testing, Fixed, Blog |
In this blog article, you will get to know how to write automated tests using lemoncheesecake framework & Selenium WebDriver. lemoncheesecake is a python framework for functional testing. It has good reporting system, fixtures and matchers to create readable automated test scripts using Python. As a test automation company, we would like to show an example for lemoncheesecake framework using Selenium snippets.
How to install?
pip install lemoncheesecake
Create Default Project Once you execute the below, it will create a project (myproject) which contains fixtures folder, suites folder, & project.py file.
Create Test Suite Create a python file inside the suites folder with the below snippets. The code will launch Codoid website and verify the home page title using check_that method.
from selenium import webdriver
import time
import lemoncheesecake.api as lcc
from lemoncheesecake.matching import *
URL = "https://codoid.com"
SUITE = {
"description": "My suite"
}
@lcc.test("Test 1")
def my_test():
lcc.set_step("Launch URL")
lcc.log_info("URL %s" % URL)
driver = webdriver.Chrome(executable_path='driverschromedriver.exe')
driver.get(URL)
time.sleep(3)
lcc.set_step("Verify page title")
check_that("value",driver.title,starts_with("One of the best QA Companies"))
lcc.log_info("Page Tile: %s" % driver.title)
driver.quit()
Run The Test Suite Go to the suites folder and run the below command, it will run the test suite.
View Test Result You can see the html test result under reports folder.
In Conclusion:
In lemoncheesecake framework, you can send the automated reports to Slack & Report Portal as well. Executing scripts in parallel is also possible.
by admin | Aug 11, 2019 | Automation Testing, Fixed, Blog |
Feeding test data in automated test suite is an additional effort. However, having all the dummy test data in Excel Sheet, XML, and JSON increases maintenance effort a little bit. For example: Consider you have mentioned a phone number in Excel sheet instead of creating random phone number on fly. If you take copy of the test data sheet to execute on different environment, then you are duplicating the static phone number and it will increase the test data maintenance effort. Our suggestion is Never have your random/dummy data in test data file.
In this blog article, you will learn how to use test data generation in Python using Faker package. Nowadays, Selenium automation testing using Python is gaining more popularity. Python packages which are useful for test automation ease script development.
Installation
Basic Usage
from faker import Faker
fake = Faker()
fake.name()
# 'Lucy Cechtelar'
fake.address()
# '426 Jordy Lodge
# Cartwrightshire, SC 88120-6700'
fake.text()
# 'Sint velit eveniet. Rerum atque repellat voluptatem quia rerum. Numquam excepturi
# beatae sint laudantium consequatur. Magni occaecati itaque sint et sit tempore. Nesciunt
# amet quidem. Iusto deleniti cum autem ad quia aperiam.
# A consectetur quos aliquam. In iste aliquid et aut similique suscipit. Consequatur qui
# quaerat iste minus hic expedita. Consequuntur error magni et laboriosam. Aut aspernatur
# voluptatem sit aliquam. Dolores voluptatum est.
# Aut molestias et maxime. Fugit autem facilis quos vero. Eius quibusdam possimus est.
# Ea quaerat et quisquam. Deleniti sunt quam. Adipisci consequatur id in occaecati.
# Et sint et. Ut ducimus quod nemo ab voluptatum.'
by admin | Aug 10, 2019 | Automation Testing, Fixed, Blog |
Automation in software testing represents an evolutionary step in this technical domain. Leaders of testing profess such that evolution is in process and the assertion stems from a deficit in the skills required for building automated tests that provide higher levels of value for client organizations. Therefore, an awareness of potential gaps and lacunae in test automation frameworks is necessary to ensure the perfect test automation strategy.
Expending Excess Time Maintaining Test Scripts
Heavy investments of time, effort, and energy in creating test scripts indicate sub-par practices in a UI test automation strategy. The root cause is usually improper planning and poor structuring of testing frameworks. Therefore, testing engineers working with an automation testing company can breakdown tests into smaller test cases to promote efficiency in testing services. Smaller test cases offer the benefit of easy integration of user flow changes and promote reusability of fully functional test cases in new testing scenarios.
Negligible Mobile Browser Testing
Mobile browsers generate incrementally higher volumes of Internet traffic. This fact in the digital domain should encourage testers of a test automation company to focus testing on mobile devices, systems, browsers, and services. Further, the multiplicity of portable connected devices should prompt a greater focus on testing different brands of mobile browsers such as Google Chrome, Apple Safari, and Firefox. This would enable testers to partner with clients in building their businesses while ensuring quality control for mobile applications. Additionally, professional testing offered by a test automation company helps identify issues before potential customers face a ruined mobile experience.
Lack of Options in Test Environments
A test environment simulates a production environment (or a real environment) thereby enabling testers to plan and execute testing activities with conditions and factors of the real environment. The intent is to evaluate the working of a software product in the real world. Different test environments render computer code in different ways and therefore an ideal UI test automation strategy must include a maximum number of test environments. These may replicate the working of different devices and browsers, enabling test engineers to unearth bugs and remediate these before the software product reaches the market to customers.
Ignoring Parallel Testing
Parallel testing techniques are necessary when a company seeks to widen test coverage inside constrained timelines. This testing technique implies testing multiple applications or sub-components of an application concurrently to reduce testing times. Parallel tests typically consist of two or more parts that check different parts or functional characteristics of an application. Further, parallel testing allows testers to significantly reduce the hours it would normally take to run one test after another. By testing multiple configurations simultaneously, testers can condense 30 hours of testing to 10 hours, on three different machines. Parallel testing therefore helps reduce the time spent on running tests, resulting in significant cost and time savings.
In Conclusion
Addressing these gaps can drive higher levels of efficiency in a modern UI test automation strategy. It is critical for test engineers to improve their performance on the job and deliver client satisfaction at a higher level, to remain relevant in a highly competitive market. It is best to work with experts and highly experienced testers to get the maximum ROI – connect with us for all this and more.
