Results 21 to 30 of about 1,940,331 (371)

Test Case Prioritization Using Test Similarities [PDF]

open access: green, 2018
A classical heuristic in software testing is to reward diversity, which implies that a higher priority must be assigned to test cases that differ the most from those already prioritized. This approach is commonly known as similarity-based test prioritization (SBTP) and can be realized using a variety of techniques.
Alireza Haghighatkhah   +3 more
openalex   +5 more sources

K-Step Crossover Method based on Genetic Algorithm for Test Suite Prioritization in Regression Testing [PDF]

open access: yesJournal of Universal Computer Science, 2021
Software is an integration of numerous programming modules  (e.g., functions, procedures, legacy system, reusable components, etc.) tested and combined to build the entire module.
P. K. Gupta
doaj   +3 more sources

Revisiting Machine Learning based Test Case Prioritization for Continuous Integration [PDF]

open access: yesIEEE International Conference on Software Maintenance and Evolution, 2023
To alleviate the cost of regression testing in continuous integration (CI), a large number of machine learning-based (ML-based) test case prioritization techniques have been proposed.
Yifan Zhao, Dan Hao, Lu Zhang
semanticscholar   +1 more source

Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts [PDF]

open access: yesIEEE Transactions on Software Engineering, 2021
Continuous Integration (CI) requires efficient regression testing to ensure software quality without significantly delaying its CI builds. This warrants the need for techniques to reduce regression testing time, such as Test Case Prioritization (TCP ...
Ahmadreza Saboor Yaraghi   +3 more
semanticscholar   +1 more source

AGA: An Accelerated Greedy Additional Algorithm for Test Case Prioritization [PDF]

open access: yesIEEE Transactions on Software Engineering, 2022
In recent years, many test case prioritization (TCP) techniques have been proposed to speed up the process of fault detection. However, little work has taken the efficiency problem of these techniques into account.
Feng Li   +4 more
semanticscholar   +1 more source

Test case prioritization for model transformations

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested.
Saqib Iqbal, Issam Al-Azzoni
doaj   +1 more source

Fault Coverage-Based Test Case Prioritization and Selection Using African Buffalo Optimization

open access: yesComputers, Materials & Continua, 2023
: Software needs modifications and requires revisions regularly. Owing to these revisions, retesting software becomes essential to ensure that the enhancements made, have not affected its bug-free functioning.
S. Singhal   +5 more
semanticscholar   +1 more source

Multifactor Algorithm for Test Case Selection and Ordering

open access: yesمجلة بغداد للعلوم, 2021
Regression testing being expensive, requires optimization notion. Typically, the optimization of test cases results in selecting a reduced set or subset of test cases or prioritizing the test cases to detect potential faults at an earlier phase.
Atulya Gupta, Rajendra Prasad Mahapatra
doaj   +1 more source

Adaptive Random Test Case Prioritization [PDF]

open access: yes2009 IEEE/ACM International Conference on Automated Software Engineering, 2009
Regression testing assures changed programs against unintended amendments. Rearranging the execution order of test cases is a key idea to improve their effectiveness. Paradoxically, many test case prioritization techniques resolve tie cases using the random selection approach, and yet random ordering of test cases has been considered as ineffective ...
Zhang, Z, Jiang, B, Chan, WK, Tse, TH
openaire   +2 more sources

BOOMPizer: Minimization and prioritization of CONCOLIC based boosted MC/DC test cases

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Recent research evidence indicates that the powerful testing tools, even though generate test inputs automatically for coverage measures, but not up to satisfaction.
Swadhin Kumar Barisal   +5 more
doaj   +1 more source

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