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What is Non-Functional Testing?Non-functional Testing is a method of software testing that examines a software application's non-functional attributes (productivity, compatibility, functionality, and many more). It is intended to assess a system's preparation based on nonfunctional conditions that never get covered by functional tests.A good example of a non-functional test is seeing how many users would sign into a program at the same time.Non-functional testing is almost as critical as functional testing, and it has an effect on customer satisfaction.We will discover the following in this tutorial−Non-functional testing objectivesNon-functional testing CharacteristicsTesting for non-functionality variablesSoftware Testing TypesTypes of Non-functional TestingTest Case Examples ... Read More
Performance testing is conducted to know how an application responds under extreme load. Such tests are performed using metrics like speed, scalability and stability. Choosing the right performance or load testing tool can offer a wide range of beneficial features. Besides, it also eliminates massive cost and time consumption associated with the manual testing process.Types of performance testsAn application or software goes through several tests to determine its performance. Not all tools support all types of performance testing. Therefore, you may have to determine what type of testing you require and choose the tools as needed.Load testingLoad tests help testers ... Read More
Software Testing metrics are quantitative steps taken to evaluate the software testing process's quality, performance, and progress. This helps us to accumulate reliable data about the software testing process and enhance its efficiency. This will allow developers to make proactive and precise decisions for upcoming testing procedures.What is a metric in software testing metrics?A Metric is a degree to which a system or its components retains a given attribute. Testers don't define a metric just for the sake of documentation. It serves greater purposes in software testing. For example, developers can apply a metric to assume the time it takes ... Read More
Before learning about Test Strategy Document, you must understand Test Plan. A test plan is a document containing the scope, methods, and objectives of software testing. Since many companies deal with multiple projects, the project team needs to prepare a goal-centric test plan considering the specific requirements of each project.Regardless of the nature of the project (support or development), proper planning remains the significant stepping stone for any testing process. Apart from a brief introduction to the project, the test plan also contains methods and types of testing that testers should execute during the testing.The Test strategy is a document ... Read More
The Agile Manifesto first appeared in 2001. It sought to alter the software creation process. The manifesto has four key aspects, but few people are aware of the 12 Agile Principles. They provide more specific explanations of the process in which agile product development can be carried out. After many years, nearly all companies claim that they provide "agile services", but most only pay lip service to the Agile Manifesto's ideas and concepts. The software development industry has also evolved dramatically. It's worth revisiting the agile standards to check their meanings and whether they're still relevant.Timely and Consistent Delivery of ... Read More
This guide presents the seven fundamental Software Testing Principles that any software tester and quality assurance professional should understand.6 Principles of Software TestingExhaustive testing is not possibleEarly testingDefect clusteringPesticide paradoxTesting is context-dependentAbsence of errors fallacyBackgroundWhen performing software testing, one must achieve optimal test results without straying from the target. But how do we know if we are using the best research strategy? To do so, we must adhere to certain fundamental research standards.Consider the following circumstance: we are transferring a file from Folder A to Folder B. Consider all of the many ways by which we can test this.Aside from ... Read More
To export an SVG file from a matplotlib figure, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Create random x and y data points using numpy.Plot x and y data points using plot() method.Save the .svg format file using savefig() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig, ax = plt.subplots() x = np.random.rand(10) y = np.random.rand(10) ax.plot(x, y, ls='dotted', linewidth=2, color='red') plt.savefig("myimg.svg")OutputWhen we execute this code, it will create an SVG file called "myimg.svg" and ... Read More
To plot a time series in Python using matplotlib, we can take the following steps −Create x and y points using numpy.Plot the created x and y points using plot() method.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import datetime import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.array([datetime.datetime(2021, 1, 1, i, 0) for i in range(24)]) y = np.random.randint(100, size=x.shape) plt.plot(x, y) plt.show()Output
To give sns.clustermap a dataset, we can take the following steps −Set multiple theme parameters in one step.Load an example dataset from the online repository (requires Internet).Return item and drop from the frame. Raise KeyError if not found, using pop() method.Plot a matrix dataset as a hierarchically-clustered heatmap using clustermap() method.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import seaborn as sns plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True sns.set_theme(color_codes=True) iris = sns.load_dataset("iris") species = iris.pop("species") g = sns.clustermap(iris) plt.show()OutputRead More
To plot 3D graphs using Python, we can take the following steps −Create a new figure or activate an existing figure using figure() method.Get the 3D axes object.Make x, y, and z lists for data points.Add 3D scatter points using scatter3D() method, with x, y, and z data points with markersize=150 and marker=diamond.To display the figure, use show() method.Examplefrom mpl_toolkits.mplot3d import Axes3D from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = Axes3D(fig) x = [2, 4, 6, 3, 1] y = [1, 6, 8, 1, 3] z = [3, 4, 10, 3, 1] ax.scatter3D(x, y, ... Read More