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Measuring Test Case Similarity to Support Test Suite Understanding Michaela Grader, Are van Course and Andy Airman Delft University of Technology, The Netherlands m.s.grader, are. Andersen, a.e.airman
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How to fill out measuring test case similarity:

01
Start by collecting a set of test cases that you want to measure the similarity of. These test cases can be from different systems or versions of the same system.
02
Select a similarity metric that suits your needs. There are various metrics available such as Jaccard similarity, cosine similarity, or Levenshtein distance. Choose the one that aligns with your requirements.
03
Implement the chosen similarity metric in a programming language or a tool that you are comfortable with. This could involve writing code or using existing libraries or software.
04
Feed the test cases into the implemented metric and calculate the similarity scores. This will generate a similarity matrix or a similarity score for each pair of test cases.
05
Analyze the results. Identify patterns or similarities among the test cases. This can help in understanding test coverage, identifying redundant test cases, or detecting missing test cases.
06
Document the findings and share them with relevant stakeholders such as developers, testers, or project managers. This information can influence decision-making processes such as prioritizing test case execution or optimizing test suites.

Who needs measuring test case similarity:

01
Software testers: Testers can use test case similarity measurements to identify redundant test cases or to ensure adequate coverage by identifying gaps in test cases.
02
Developers: Developers can benefit from measuring test case similarity to understand the impact of code changes on existing test cases. This can help in identifying which test cases need to be re-executed or modified.
03
Project managers: Project managers can utilize test case similarity measurements to optimize test suites by removing redundant test cases or prioritizing the execution of critical test cases.
04
Quality assurance teams: Teams responsible for maintaining and improving software quality can use measuring test case similarity to assess the overall effectiveness and efficiency of their testing efforts.
05
Researchers: Researchers in the field of software testing and quality assurance can leverage test case similarity measurements to advance the state of the art in test case generation and evaluation methodologies.
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Measuring test case similarity is the process of analyzing test cases to determine how similar or dissimilar they are in terms of their characteristics.
Quality assurance teams, testers, and test managers are typically required to file measuring test case similarity.
Measuring test case similarity can be filled out by comparing test cases based on criteria such as inputs, expected results, and test steps.
The purpose of measuring test case similarity is to identify redundant or overlapping test cases, optimize testing efforts, and improve test coverage.
Information such as test case IDs, descriptions, inputs, expected results, and test steps must be reported on measuring test case similarity.
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