Metrics for testing in software engineering

If you have the idea that which content of your page is most liked by the user, then you can improve or add more content like that so that you can have more traffic.

Conversion Rate: This metric is calculated as the number of conversions divided by the total number of visitors. It is a very important topic for those that have a sales website as if they know about the conversion rate of their website, then they can increase their sales profit through this metric.

It can help you in optimizing the website for each device or the operating systems they are using. Types of Traffic Sources: We know that website traffic is the most essential metric that every person checks who has a website as it shows how successful the website is. The traffic sources are divided into 4 categories: Organic Traffic: It is a type of traffic that comes from various search engines that a user has searched for. This traffic is the most natural source that a website has earned.

Direct traffic: It is a type of traffic in which the user directly comes either by direct the full URL or by searching the website name. This traffic consists of the regular visitors of your site.

Social traffic: It is a type of traffic that comes from various traffic sources like Facebook, WhatsApp, Instagram, Twitter, etc. Referral traffic: It is a type of traffic that comes when your website is linked with some other website or comes if the website link is attached to a blog post or any other method as a means of referral.

For ease of understanding, the attributes or metrics can be majorly categorized into three categories: 1. Page composition metrics: The composition of a page consists of the arrangement of all visual elements on a webpage like links, words, percentage related to how much size does the page consuming, etc. A manual testing metrics comprises of two other metrics — Base Metrics and Calculated Metrics. Analysis — Identify and define the metrics — Define parameters for evaluating the metrics.

Communicate — Explain the need and significance of metrics to stakeholders and testing team — Educate the testing team about the data points need to be captured for processing the metric. Evaluation — Capture the required data — Verify validity of the data captured — Calculate the metrics value. Reports — Develop the report with effective conclusion — Distribute the reports to the stakeholders, developer and the testing team — Take feedback for further improvements.

Put simply, metrics provide data about the status of a project. A metric can be anything from the number of bugs found to the number of features implemented. Software testing metrics is a tool of measurement designed to help you make decisions when it comes to improving the efficiency and effectiveness of the software testing process.

The information gathered from test metrics helps you understand how well your tests are performing. Software test metrics are quantitative measures of software development project success. They provide a cost-effective approach to evaluate software and product processes, effectiveness, and efficiency. In other words, we can also mention like, Software test metrics are software development process parameters that measure the status of software testing.

These parameters can be either qualitative or quantitative. Software test metrics can provide a wealth of information about a project by measuring its quality and productivity. Software metrics are also known as software measurement, although some people distinguish between these terms because they have different definitions. There are several kinds of measurements:. The Software Testing Metrics project groups together all the useful information about software testing metrics.

The project aims to help individuals and organizations to improve their use of software testing metrics in order to make better decisions for future quality-related activities, like planning, ongoing monitoring, and improvement strategies.

There are three general approaches to choosing software testing metrics — top-down, bottom-up, and hybrid approach:. A measure of quality is used to determine the level or degree of something. Software Quality Metrics tries to quantify some aspects of software product development based on values derived from testing activities.

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