Decision Coverage or Branch Coverage

In order to achieve 100% decision coverage we need to exercise the FALSE condition of the IF statement which will be covered when X is less than Y. However this test case won’t give you 100% decision coverage as the FALSE condition of the IF statement is not exercised. Decision coverage is stronger that statement coverage and it requires more test cases to achieve 100% decision coverage. Research in the industries have shown that even if through functional testing has been done it only achieves 40% to 60% decision coverage. Additionally, decision coverage can address problems that may arise with statement coverage testing. Generally in any software, if we look at the source code, there will be a wide variety of elements like operators, functions, looping, exceptional handlers, etc.

  • Therefore, to achieve 100% Statement coverage we have to make sure that every statement in the code is executed at least once.
  • If the results are unmatched, then the message ‘Your answer is wrong’ will be displayed.
  • It is well recognized that this stage of code testing is crucial to the process of creating programs and developing applications.
  • But overall if you see, all the statements are being covered by both scenarios.
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The structure of the system’s software is the basis for white-box testing. It’s most often used at the component level (so-called unit testing), but it can also be performed at any other test level utilizing the various white-box models of the system. This decision table captures the different pricing scenarios based on the product category, customer type, and active promotions. Nodes represent entries, exits, decisions and each statement of code.

Examples for high severity,priority and low severity,priority defects in your current project?

So by traveling through only one path all the nodes are covered, so the Statement coverage in this case is 1. Both of these metrics (Statement Coverage and Brance/Decision Coverage) are important for ensuring that your test cases are thorough and that your code has been adequately tested. It’s important to note that achieving 100% coverage does not guarantee that your code is bug-free, but it does increase the likelihood that your code is working as intended. Statement coverage does not ensure coverage of all functionalities. It is a misunderstanding that by purely syntactic rearrangements of decisions which do not change the semantics of a program can lower the difficulty of obtaining complete MC/DC coverage.

In this case there is no single path which will make sure coverage of all the edges at once. I can imagine a system where there are two edges from one statement to the next. In such a case, if one traverses only one edge then they have statement coverage but not branch coverage.

Branch Coverage Vs. Decision Coverage

When a system has complex business rules, then the decision table testing technique helps in identifying the correct test cases. Decision coverage or branch coverage may be a kind of testing methodology which aims to makes sure that every condition among the possible branch from each decision point is executed. It helps in validating all branches in the code making sure that no branch leads to abnormal behaviour of the application.

decision coverage testing example

It is used for calculation of the number of statements in source code which have been executed. The main purpose of Statement Coverage is to cover all the possible paths, lines and statements in source code. Decision Table Testing is a Black Box test design technique (behavior-based technique), used where different combinations of test input conditions result in different outcomes.

Result table of Decision Coverage:

One way to think of test coverage is as a spectrum, with lower levels of coverage being less effective and higher levels being more effective. However, it is important to remember that no single level of coverage is right for all situations, and the level of coverage that is appropriate will depend on the specific system under test and the risks involved. H2K Infosys, LLC provides Software Training, Development, Software Testing includes manual and automation testing, Performance Tuning and Performance testing. Online and onsite software training to individuals and corporate companies anywhere in the world. We provide best hands on online training with real time examples to make sure that the participants are able to handle real time scenarios. Eventually, between 2 nd and 3 rd, only C changed of value and decision’s outcome’s value also changed (passing from “true” to “false”).

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Widen the perspective: White Box’s “condition coverage” for everyone

The following phases entail putting together a logical decision-making flowchart and listing the outcomes of the numerous choices made and incorporated into the application’s code. Given that a single consistent code execution sequence doesn’t require any logical decisions to be taken, it is likely to have more than one conclusion. Every single line of the program is supposed to go through Decision Coverage Testing, which finds any potential decision-making streams in the codes. It is well recognized that this stage of code testing is crucial to the process of creating programs and developing applications. Skipping this stage can seriously reduce the effectiveness of the program in that module.

decision coverage testing example

The process of performing this evaluation in terms of the modular functionality, without any leakage, can be defined as the practice of the Decision Coverage validation. Additionally, decision testing overlooks the specifics of how decisions with multiple conditions are made, potentially missing defects caused by combinations of these conditions. Decision testing, decision coverage in contrast to Modified Condition/Decision Coverage and Multiple Condition techniques, considers the entire decision and evaluates the TRUE and FALSE outcomes in separate test cases. It’s important to note that a single test case may exercise several decision outcomes. But overall if you see, all the statements are being covered by both scenarios.

Decision Coverage or Branch Coverage

This article focuses on discussing statement coverage in detail. Attaining 100% decision coverage implies the execution of all decision outcomes, including testing the true and false results, even when no explicit false statement exists . Condition Coverage or expression coverage is a testing method used to test and evaluate the variables or sub-expressions in the conditional statement.

decision coverage testing example

Based on the input to the program, some of the code statements may not be executed. The goal of Statement coverage is to cover all the possible path’s, line, and statement in the code. There are many different types of test coverage, but in general, test coverage is a measure of how much of the code or functionality of a system is being tested by a particular set of tests. For example, if a set of tests only covers 50% of the code, then it has 50% coverage.

How Test Coverage Can Be Accomplished?

Neither of these is necessarily the same as Full path coverage, when you traverse every path from the start node to every end node. Decision coverage testing is frequently necessary for safety-sensitive or regulated businesses to verify compliance with norms and laws, and it serves as proof of meticulous testing efforts. The minimal number of test cases, in this case, is 3, because number two of the test conditions 2, 5, and 6 can be exercised in one test case. The minimum number of test cases achieving the decision coverage is 3. It examines the software’s internal coding and infrastructure, and it is the programmer’s responsibility to do so.

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