{"id":43251,"date":"2016-12-16T13:48:58","date_gmt":"2016-12-16T08:18:58","guid":{"rendered":"https:\/\/2thenew.online\/blog\/?p=43251"},"modified":"2017-01-02T16:34:48","modified_gmt":"2017-01-02T11:04:48","slug":"software-testing-metrics","status":"publish","type":"post","link":"https:\/\/2thenew.online\/blog\/software-testing-metrics\/","title":{"rendered":"Importance of Software Testing Metrics and 8 Ways to Measure It"},"content":{"rendered":"<p><strong>What is Software Testing Metrics?<\/strong><\/p>\n<p><a title=\"Top 11 Best Practices in Software Testing\" href=\"https:\/\/2thenew.online\/blog\/best-practices-in-testing\/\">Software testing<\/a> metrics provide quantitative approach to measure the quality and effectiveness of the software development and testing process. It helps the team to keep a track on the <a title=\"5 Benefits of Software Testing in an Agile Environment\" href=\"https:\/\/2thenew.online\/blog\/5-benefits-of-software-testing-in-an-agile-environment\/\">software quality at every stage in the software development cycle<\/a> and also provides information to control and reduce the number of errors. It allows the stakeholders to measure the efficiency of the team and accelerates application delivery.<\/p>\n<p>For example: A test manager must measure the effectiveness of a test process to identify the areas of improvement.<\/p>\n<p>While <a title=\"automation testing services\" href=\"https:\/\/2thenew.online\/testing\/automated-independent-manual-testing\">working on various testing projects<\/a> at TO THE NEW we make sure to follow the software testing metrics for our clients to release a high-quality software.<\/p>\n<p>Following snapshots below highlights the progress on text execution and the defects identification for one of our client<\/p>\n<p><strong>Why to Measure Software Quality?<\/strong><\/p>\n<ul>\n<li>To evaluate the quality of the current product or process<\/li>\n<li>To improve quality of a product \/process by continuous monitoring<\/li>\n<li>Take decisions based on analysis<\/li>\n<\/ul>\n<p><a href=\"\/blog\/wp-ttn-blog\/uploads\/2016\/12\/Test-Execution-Progress1.bmp\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-43276 aligncenter\" src=\"\/blog\/wp-ttn-blog\/uploads\/2016\/12\/Test-Execution-Progress1.bmp\" alt=\"Test Execution Progress1\" width=\"658\" height=\"460\" \/><\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-43274 aligncenter\" src=\"\/blog\/wp-ttn-blog\/uploads\/2016\/12\/2.bmp\" alt=\"2\" width=\"819\" height=\"460\" \/><\/p>\n<h3>Types of Metrics<\/h3>\n<p>It is imperative to understand the different types of metrics to <a title=\"Some Dos and Don\u2019ts in Software Testing\" href=\"https:\/\/2thenew.online\/blog\/some-dos-and-donts-in-software-testing\/\">measure the quality of the software<\/a>. A manual <a title=\"Testing\" href=\"https:\/\/2thenew.online\/blog\/category\/technology\/testing-2\/\">testing<\/a>\u00a0metrics comprises of two other metrics &#8211; Base Metrics and Calculated Metrics.<\/p>\n<p>\u2022 <b>Base Metrics:<\/b>\u00a0It comprises the raw data captured by the test engineer during the testing process.<\/p>\n<p>Few examples of Base Metrics are:<\/p>\n<p>&#8211; No. of test cases<br \/>\n&#8211; No. of test cases executed<\/p>\n<p>\u2022 <b>Calculated Metrics:<\/b>\u00a0It is obtained by converting the data that is gathered in Base Metrics into useful information.<\/p>\n<p>Few examples of Calculated Metrics are:<\/p>\n<p>&#8211; Test coverage<br \/>\n&#8211; Test efficiency<\/p>\n<h3>Importance of Metrics<\/h3>\n<p>\u2022 Metrics is used to improve the quality of products and services thus helps in achieving customer satisfaction.<br \/>\n\u2022 Different metrics helps the teams to monitor the efficiency of the process and control them<br \/>\n\u2022 It provides the scope of improvement for current process.<\/p>\n<h3>Metrics Lifecycle<\/h3>\n<p>1. <b>Analysis<\/b><br \/>\n&#8211; Identify and define the\u00a0metrics<br \/>\n&#8211; Define parameters for evaluating the metrics<\/p>\n<p>2. <b>Communicate<\/b><br \/>\n&#8211; Explain the need and significance of metrics to stakeholders and testing team<br \/>\n&#8211; Educate the testing team about the data points need to be captured for processing the metric<\/p>\n<p>3. <b>Evaluation<\/b><br \/>\n&#8211; Capture the required data<br \/>\n&#8211; Verify validity of the data captured<br \/>\n&#8211; Calculate the metrics value<\/p>\n<p>4. <strong>Reports\u00a0<\/strong><br \/>\n&#8211; Develop the report with effective conclusion<br \/>\n&#8211; Distribute the reports to the stakeholders, developer and the testing team<br \/>\n&#8211; Take feedback for\u00a0further improvements<\/p>\n<h3>8 Useful Software Testing Metrics<\/h3>\n<p>Here is a list of 8 useful and effective software metrics the team must leverage<\/p>\n<p><b>1. Test Case Productive Prepration<\/b><\/p>\n<p>= Total test steps \/ effort (hours)<\/p>\n<p>e.g TPP = 60\/8 = 7.5<br \/>\n8 test cases \/ hour<\/p>\n<p><b>2. Test Execution Summary <\/b><\/p>\n<p>Summarize your reports with the following parameters such as<\/p>\n<ul>\n<li>Test Case Passed<\/li>\n<li>Test Case Failed<\/li>\n<li>Test Case Executed<\/li>\n<li>Test Case Not Executed<\/li>\n<li>Test Case\u00a0Blocked<\/li>\n<\/ul>\n<p><b>3. Test Case Coverage<\/b><\/p>\n<p>= [Executed Test cases \/ total no. of test cases] * 100<\/p>\n<p><b>4. Defect Acceptance<\/b><br \/>\n= [Number of valid defects \/ total no. of defects] * 100<\/p>\n<p><b>5. Defect Rejection<\/b><br \/>\n= [Number of invalid defects \/ total no. of defects] * 100<\/p>\n<p><b>6. Test Efficiency<\/b><br \/>\n= [DT \/ (DT + DU)] * 100<\/p>\n<p>DT = Defect by Testing team &amp; Development team<\/p>\n<p>DU = Defect by customer<\/p>\n<p><b>7. Effort Variance<\/b><\/p>\n<p>= [(Actual effort \u2013 estimated effort) \/ estimated effort] * 100<\/p>\n<p>From the above formula, we can conclude that:<br \/>\n\u2022 If Effort Variance is positive, this means we took extra time (effort) to complete the planned work.<br \/>\n\u2022 If Effort Variance is negative, this means we took less time (effort) to complete the planned work.<br \/>\n\u2022 If Effort Variance is zero, this means you are on the estimated effort.<\/p>\n<p><b>8. Schedule Variance<\/b><br \/>\n= [(Actual no. of days \u2013 estimated no. of days) \/ estimated no. of days)] * 100<\/p>\n<p>From the above formula, we can conclude that:<br \/>\n\u2022 If Schedule Variance is positive, this means you are ahead of the schedule.<br \/>\n\u2022 If Schedule Variance is negative, this means you are behind the schedule.<br \/>\n\u2022 If Schedule Variance is zero, this means you are on the schedule.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>What is Software Testing Metrics? Software testing metrics provide quantitative approach to measure the quality and effectiveness of the software development and testing process. It helps the team to keep a track on the software quality at every stage in the software development cycle and also provides information to control and reduce the number of [&hellip;]<\/p>\n","protected":false},"author":825,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":76,"footnotes":""},"categories":[1817,1,1816],"tags":[1561,2082,2654,2079,3663,4282],"class_list":["post-43251","post","type-post","status-publish","format-standard","hentry","category-manual-testing","category-technology","category-testing-2","tag-automation-testing","tag-best-approach-for-manual-testing","tag-manual-testing-2","tag-manual-testing-best-practices","tag-metrics","tag-software-testing-metrics"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"Understand the importance of software testing metrics and how to measure it for a high quality 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