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1

Mani, P., and M. Prasanna. "Validation of automated test cases with specification path." Journal of Statistics and Management Systems 20, no. 4 (2017): 535–42. http://dx.doi.org/10.1080/09720510.2017.1395173.

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CARAÇA-VALENTE, JUAN P., JOSÉ L. MORANT, LUIS GONZÁLEZ, and J. PAZOS. "Knowledge-based systems' validation: when to stop running test cases." International Journal of Human-Computer Studies 51, no. 4 (1999): 757–81. http://dx.doi.org/10.1006/ijhc.1999.0328.

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3

Mateo Navarro, Pedro Luis, Diego Sevilla Ruiz, and Gregorio Martínez Pérez. "A Proposal for Automatic Testing of GUIs Based on Annotated Use Cases." Advances in Software Engineering 2010 (November 5, 2010): 1–8. http://dx.doi.org/10.1155/2010/671284.

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This paper presents a new approach to automatically generate GUI test cases and validation points from a set of annotated use cases. This technique helps to reduce the effort required in GUI modeling and test coverage analysis during the software testing process. The test case generation process described in this paper is initially guided by use cases describing the GUI behavior, recorded as a set of interactions with the GUI elements (e.g., widgets being clicked, data input, etc.). These use cases (modeled as a set of initial test cases) are annotated by the tester to indicate interesting var
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CUADRA, DOLORES, HARITH AL-JUMAILY, ELENA CASTRO, and MANUEL VELASCO. "AN OCL-BASED APPROACH TO DERIVE CONSTRAINT TEST CASES FOR DATABASE APPLICATIONS." International Journal of Software Engineering and Knowledge Engineering 21, no. 05 (2011): 621–45. http://dx.doi.org/10.1142/s0218194011005426.

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The development of database applications in most CASE tools has been insufficient because most of these tools do not provide the software necessary to validate these applications. Validation means ensuring whether a given application fulfils the user requirements. We suggest validation of database applications by using the functional testing technique, which is a fundamental black-box testing technique for checking the software without being concerned about its implementation and structure. Our main contribution to this work is in providing a MDA approach for deriving testing software from the
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Rojas, Eveling Y., Leonardo Ordoñez, Victor Hernandez, et al. "S235 – Diagnostic Test Validation: CHAMP in Endolymphatic Hydrops." Otolaryngology–Head and Neck Surgery 139, no. 2_suppl (2008): P154. http://dx.doi.org/10.1016/j.otohns.2008.05.410.

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Objectives The Cochlear Hydrops Analysis Masking Procedure (CHAMP) has been reported with a high sensibility and specificity for the diagnosis of endolymphatic hydrops (ELH). Nevertheless, a complete validation of CHAMP with precise methods has not been done. Our objectives: To determine whether CHAMP has a diagnostic value in patients with definite, probable/possible diagnosis of Meniere's disease or endolymphatic hydrops, based on the criteria of the AAO-HNS. Methods Prospective validation study for a diagnostic test: phase II. Latency of wave V was assessed using CHAMP. We classified subjec
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Mohammed, Eissa Abdullah Awadh, Muslim Mustapa, Hasliza Rahim, and Mohd Natashah Norizan. "Advanced UI test automation (AUTA) for BIOS validation using OpenCV and OCR." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1350–56. https://doi.org/10.11591/ijeecs.v23.i3.pp1350-1356.

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Basic input output system (BIOS) validation is performed on both graphical user interface (GUI) and command-line interface (CLI) by a test engineer. Keyboard and mouse are used to insert test cases commands into system under test (SUT). Test engineer monitors test cases progress on a monitor for validation. This method is time-consuming and relatively more expensive than automation. In this project we designed an independent automation system that able to mimic human interaction in BIOS validation. The approach can be divided into two main parts. The first part is the input device to enter com
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Sehnalek, Stanislav. "Validation of new CFD release by Ground-Coupled Heat Transfer Test Cases." MATEC Web of Conferences 125 (2017): 02027. http://dx.doi.org/10.1051/matecconf/201712502027.

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Aureli, Francesca, Andrea Maranzoni, and Gabriella Petaccia. "Review of Historical Dam-Break Events and Laboratory Tests on Real Topography for the Validation of Numerical Models." Water 13, no. 14 (2021): 1968. http://dx.doi.org/10.3390/w13141968.

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Dam break inundation mapping is essential for risk management and mitigation, emergency action planning, and potential consequences assessment. To quantify flood hazard associated with dam failures, flooding variables must be predicted by efficient and robust numerical models capable to effectively cope with the computational difficulties posed by complex flows on real topographies. Validation against real-field data of historical dam-breaks is extremely useful to verify models’ capabilities and accuracy. However, such catastrophic events are rather infrequent, and available data on the breach
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Daniell, Elaine, Trabue Bryans, Kimbrell Darnell, Joyce Hansen, Victoria M. Hitchins, and Manuel Saavedra. "Product Sterility Testing . . . To Test or Not to Test? That Is the Question." Biomedical Instrumentation & Technology 50, s3 (2016): 35–43. http://dx.doi.org/10.2345/0899-8205-50.s3.35.

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Abstract The applications for sterility testing in the validation and routine control of sterilization of medical devices have changed dramatically over the years. As the definition of sterility assurance has evolved, so has the state of the science associated with product sterility testing. Historically, product sterility testing has been applied to such things as sterilization validation, sterilization lot release, packaging qualification, aseptic processing qualification, and determination of shelf life for the packaged medical device. In most of these cases, however, the results obtained f
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Awadh Mohammed, Eissa Abdullah, Muslim Mustapa, Hasliza Rahim, and Mohd Natashah Norizan. "Advanced UI test automation (AUTA) for BIOS validation using OpenCV and OCR." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1350. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1350-1356.

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<p>Basic input output system (BIOS) validation is performed on both graphical user interface (GUI) and command-line interface (CLI) by a test engineer. Keyboard and mouse are used to insert test cases commands into system under test (SUT). Test engineer monitors test cases progress on a monitor for validation. This method is time-consuming and relatively more expensive than automation. In this project we designed an independent automation system that able to mimic human interaction in BIOS validation. The approach can be divided into two main parts. The first part is the input device to
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11

Jewsbury, Paul A. "Diagnostic Test Score Validation With a Fallible Criterion." Applied Psychological Measurement 43, no. 8 (2018): 579–96. http://dx.doi.org/10.1177/0146621618817785.

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Criterion-related validation of diagnostic test scores for a construct of interest is complicated by the unavailability of the construct directly. The standard method, Known Group Validation, assumes an infallible reference test in place of the construct, but infallible reference tests are rare. In contrast, Mixed Group Validation allows for a fallible reference test, but has been found to make strong assumptions not appropriate for the majority of diagnostic test validation studies. The Neighborhood model is adapted for the purpose of diagnostic test validation, which makes alternate, but als
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Lo, Brian, Lydia Sequeira, Gillian Strudwick, et al. "Accuracy of Physician Electronic Health Record Usage Analytics using Clinical Test Cases." Applied Clinical Informatics 13, no. 05 (2022): 928–34. http://dx.doi.org/10.1055/s-0042-1756424.

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AbstractUsage log data are an important data source for characterizing the potential burden related to use of the electronic health record (EHR) system. However, the utility of this data source has been hindered by concerns related to the real-world validity and accuracy of the data. While time–motion studies have historically been used to address this concern, the restrictions caused by the pandemic have made it difficult to carry out these studies in-person. In this regard, we introduce a practical approach for conducting validation studies for usage log data in a controlled environment. By
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Mani Padmanabhan, Et al. "Topological Data Analysis for Software Test Cases Generation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2046–53. http://dx.doi.org/10.17762/ijritcc.v11i9.9203.

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The escalating development of digital technologies over the last several decades has given rise to an accompanying surge in data analysis.The software based smart applications increase the importance of behaviour analysis. Software testing of expert systems such as electronic health records, health information system and software as a medical device (SaMD) refers to detect the difference between expected behaviour and actual outcome during healthcare expert systems development. Test cases are the core source of effective software testing. Test cases generation for expert systems are discover c
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Mangkuto, Rizki A. "Validation ofDIALux4.12 andDIALux evo4.1 against the Analytical Test Cases of CIE 171:2006." LEUKOS 12, no. 3 (2015): 139–50. http://dx.doi.org/10.1080/15502724.2015.1061438.

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Polewski, Michael D., and Paul G. A. Cizmas. "Several Cases for the Validation of Turbulence Models Implementation." Applied Sciences 11, no. 8 (2021): 3377. http://dx.doi.org/10.3390/app11083377.

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This paper presents several test cases that were used to validate the implementation of two turbulence models in the UNS3D code, an in-house code. The two turbulence models used were the Shear Stress Transport model and the Spalart–Allmaras model. These turbulence models were explored using the numerical results generated by three computational fluid dynamics codes: NASA’s FUN3D and CFL3D, and UNS3D. Four cases were considered: a flat plate case, an airfoil near-wake, a backward-facing step, and a turbine cascade known as the Eleventh Standard Configuration. The numerical results were compared
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Adissu, Wondimagegn, Marcelo Brito, Eduardo Garbin, et al. "Clinical performance validation of the STANDARD G6PD test: A multi-country pooled analysis." PLOS Neglected Tropical Diseases 17, no. 10 (2023): e0011652. http://dx.doi.org/10.1371/journal.pntd.0011652.

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Introduction Screening for G6PD deficiency can inform disease management including malaria. Treatment with the antimalarial drugs primaquine and tafenoquine can be guided by point-of-care testing for G6PD deficiency. Methods and findings Data from similar clinical studies evaluating the performance of the STANDARD G6PD Test (SD Biosensor, South Korea) conducted in Bangladesh, Brazil, Ethiopia, India, Thailand, the United Kingdom, and the United States were pooled. Test performance was assessed in a retrospective analysis on capillary and venous specimens. All study sites used spectrophotometry
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Vipin, Saxena, and Kumar Pawan. "Secure Transaction of Digital Currency through Fuzzy Based Cryptography." Indian Journal of Science and Technology 16, no. 37 (2023): 3148–58. https://doi.org/10.17485/IJST/v16i37.1453.

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Abstract <strong>Objective:</strong>&nbsp;Internet technology is growing at a very fast rate around the globe and many of the countries are performing currency transaction through online mode. Due to increment of transaction of currency in an exponential manner, there is a need to include proper security features so that hackers or intruders could not hack the digital transaction carrying out between the two parties.&nbsp;<strong>Method:</strong>&nbsp;A new model using Unified Modeling Language (UML) is proposed which is developed in the hybrid mode with a combination of fuzzy rule-based compu
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Gupta, P. K. "K-Step Crossover Method based on Genetic Algorithm for Test Suite Prioritization in Regression Testing." JUCS - Journal of Universal Computer Science 27, no. (2) (2021): 170–89. https://doi.org/10.3897/jucs.65241.

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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. However, some undesired faults may occur due to a change in modules while performing validation and verification. Retesting of entire software is a costly affair in terms of money and time. Therefore, to avoid retesting of entire software, regression testing is performed. In regression testing, an earlier created test suite is used to retest the software system&#39;s modified module. Regression Testing works in three
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Venugopal, Yazhini, Phung Quang-Ngoc, and Lee Eunseok. "Modification Point Aware Test Prioritization and Sampling to Improve Patch Validation in Automatic Program Repair." Applied Sciences 10, no. 5 (2020): 1593. http://dx.doi.org/10.3390/app10051593.

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Recently, Automatic Program Repair (APR) has shown a high capability of repairing software bugs automatically. In general, most of the APR techniques require test suites to validate automatically generated patches. However, the test suites used for patch validation might contain thousands of test cases. Running these whole test suites to validate every program variant makes the validation process not only time-consuming but also expensive. To mitigate this issue and to enhance the patch validation in APR, we introduce (1) MPTPS (Modification Point-aware Test Prioritization and Sampling), which
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Othman, Zahiruddin. "Validation of Malay Mini-Mental State Examination." Malaysian Journal of Psychiatry 16, no. 1 (2007): 16–19. https://doi.org/10.6084/m9.figshare.3497390.

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Cognitive impairment cases referred to psychiatric clinic are very few especially those who have mild disease. Formal evaluation of cognitive impairment is time consuming and it involves consultation with an expert in psychological training. One clinically useful test for practitioners is the Mini Mental State Examination(MMSE). Although MMSE has shown good reliability and validity, using this instrument in a language and culture other than English may create problems. However the test has never been validated in Bahasa Malaysia even though it is a widely used screening test during patient&rsq
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Subramaniam, Mahadevan, and Parvathi Chundi. "An Approach for Cluster-Based Retrieval of Tests Using Cover-Coefficients." International Journal of Software Engineering and Knowledge Engineering 25, no. 06 (2015): 1033–52. http://dx.doi.org/10.1142/s0218194015500163.

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Retrieving relevant test cases is a recurring theme in software validation. We present an approach for cluster-based retrieval of test cases for software validation. The approach uses a probabilistic notion of coverage among line-based test profiles and can potentially discover groups of test cases executing a small number of unique lines. The distribution of lines across test profiles are analyzed to determine the number of clusters and generate a clustering structure without any additional user input. We also propose a novel and simple approach to identify test cases that are affected by sof
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Serkova, Dagmar, and Jana Mareckova. "Validation of NANDA international nursing diagnoses at postoperative intensive care unit: quasi-experimental study." Pielegniarstwo XXI wieku / Nursing in the 21st Century 20, no. 1 (2021): 5–9. http://dx.doi.org/10.2478/pielxxiw-2021-0006.

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Abstract Aim. 1. Implement repeated validation of three NANDA International nursing diagnoses before and after their experimental classification in daily nursing practice at an intensive care unit for adults, at a medium-sized hospital. 2. Identify statistically significant differences in Diagnostic Content Validation (DCV) values between the two validations. Material and methods. Fehring’s DCV model was used for validation of NANDA International diagnoses. The sample of assessors consisted of 33 experts in the first stage and of 31 experts in the second stage, the experts were in both cases I
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Aguilar-Carrasco, María Teresa, Julia Díaz-Borrego, Ignacio Acosta, Miguel Ángel Campano, and Samuel Domínguez-Amarillo. "Validation of lighting parametric workflow tools of Ladybug and Solemma using CIE test cases." Journal of Building Engineering 64 (April 2023): 105608. http://dx.doi.org/10.1016/j.jobe.2022.105608.

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Ekert, Damjan, Jürgen Dobaj, and Alen Salamun. "Cybersecurity Verification and Validation Testing in Automotive." JUCS - Journal of Universal Computer Science 27, no. 8 (2021): 850–67. http://dx.doi.org/10.3897/jucs.71833.

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The new generations of cars have a number of ECUs (Electronic Control Units) which are connected to a central gateway and need to pass cybersecurity integration tests to fulfil the homologation requirements of cars. Cars usually have a gateway server (few have additional domain servers) with Linux and a large number of ECUs which are real time control of actuators (ESP, EPS, ABS, etc. – usually they are multicore embedded controllers) connected by a real time automotive specific bus (CAN-FD) to the domain controller or gateway server. The norms (SAE J3061, ISO 21434) require cybersecurity rela
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Ekert, Damjan, Jürgen Dobaj, and Alen Salamun. "Cybersecurity Verification and Validation Testing in Automotive." JUCS - Journal of Universal Computer Science 27, no. (8) (2021): 850–67. https://doi.org/10.3897/jucs.71833.

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The new generations of cars have a number of ECUs (Electronic Control Units) which are connected to a central gateway and need to pass cybersecurity integration tests to fulfil the homologation requirements of cars. Cars usually have a gateway server (few have additional domain servers) with Linux and a large number of ECUs which are real time control of actuators (ESP, EPS, ABS, etc. – usually they are multicore embedded controllers) connected by a real time automotive specific bus (CAN-FD) to the domain controller or gateway server. The norms (SAE J3061, ISO 21434) require cybersecurity rela
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Samad, Ali, Hairulnizam Bin Mahdin, Rafaqat Kazmi, Rosziati Ibrahim, and Zirawani Baharum. "Multiobjective Test Case Prioritization Using Test Case Effectiveness: Multicriteria Scoring Method." Scientific Programming 2021 (June 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/9988987.

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Modified source code validation is done by regression testing. In regression testing, the time and resources are limited, in which we have to select the minimal test cases from test suites to reduce execution time. The test case minimization process deals with the optimization of the regression testing by removing redundant test cases or prioritizing the test cases. This study proposed a test case prioritization approach based on multiobjective particle swarm optimization (MOPSO) by considering minimum execution time, maximum fault detection ability, and maximum code coverage. The MOPSO algori
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Emerson, Sarah C., Sushrut S. Waikar, Claudio Fuentes, Joseph V. Bonventre, and Rebecca A. Betensky. "Biomarker validation with an imperfect reference: Issues and bounds." Statistical Methods in Medical Research 27, no. 10 (2017): 2933–45. http://dx.doi.org/10.1177/0962280216689806.

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Motivated by the goal of evaluating a biomarker for acute kidney injury, we consider the problem of assessing operating characteristics for a new biomarker when a true gold standard for disease status is unavailable. In this case, the biomarker is typically compared to another imperfect reference test, and this comparison is used to estimate the performance of the new biomarker. However, errors made by the reference test can bias assessment of the new test. Analysis methods like latent class analysis have been proposed to address this issue, generally employing some strong and unverifiable ass
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Romanczyk, Paul. "Validation methods for geometric camera calibration." Electronic Imaging 2020, no. 16 (2020): 150–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.16.avm-149.

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Camera-based advanced driver-assistance systems (ADAS) require the mapping from image coordinates into world coordinates to be known. The process of computing that mapping is geometric calibration. This paper provides a series of tests that may be used to assess the goodness of the geometric calibration and compare model forms: 1. Image Coordinate System Test: Validation that different teams are using the same image coordinates. 2. Reprojection Test: Validation of a camera’s calibration by forward projecting targets through the model onto the image plane. 3. Projection Test: Validation of a ca
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K S, Sahana, Maanas M D, and M. Govinda Raju. "Test Automation Framework for Embedded Linux Testing." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 633–39. http://dx.doi.org/10.51201/jusst/21/05311.

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Software testing is one of the most important steps before its official roll–out to the market. Testing of embedded software is a very complex, tedious, and time–consuming process. Manual execution of the test cases can pose a huge challenge to the test engineers in terms of the time consumed to execute and compile the results of hundreds of test cases. This paper presents a solution to automate the entire process of build and install of Board Support Package (BSP) using Jenkins, along with the automation of the testing process using Linaro Automation and Validation Architecture (LAVA). The pr
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Padmanabhan, Mani. "A Systematic Review of AI Based Software Test Case Optimization." International Research Journal of Multidisciplinary Scope 05, no. 04 (2024): 847–59. http://dx.doi.org/10.47857/irjms.2024.v05i04.01451.

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Software test case optimization for real-time systems is a vulnerability detection methodology that assesses the resilience of targeted programs by subjecting them to irregular input data. As the volume, size, and intricacy of software continue to escalate, conventional manual test case generation has encountered challenges like insufficient logical coverage, minimal automation levels, and inadequate test scenarios. These difficulties underscore the need for innovative approaches that maximize software dependability and performance. An artificial intelligence powered fuzzing technique, which e
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Martin, David W., Richard A. Kohrs, Frederick R. Mosher, Carlo Maria Medaglia, and Claudia Adamo. "Over-Ocean Validation of the Global Convective Diagnostic." Journal of Applied Meteorology and Climatology 47, no. 2 (2008): 525–43. http://dx.doi.org/10.1175/2007jamc1525.1.

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Abstract The global convective diagnostic (GCD) is a bispectral (infrared and water vapor), day–night scheme for operationally mapping deep convection by means of geostationary satellite images. This article describes a test of GCD performance over tropical and subtropical waters near North America. The test consists of six cases, each involving a convective cloud complex. A seventh case treats convection over land. For each case, a map of deep convection was constructed from image pairs from Geostationary Operational Environmental Satellite-12 (GOES-12). Case by case and for all maritime case
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Li, Xiao Wen, Guo Zhong Wang, and Gang Zhou. "RRM Conformance Testing Validation of Cell Handover in TD-LTE System." Advanced Materials Research 926-930 (May 2014): 2088–91. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2088.

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In order to verify the protocol conformance of RRM (radio resource management) handover procedure in TD-LTE system, We proposed an implementation program of terminal RRM conformance test system with TTCN-3 (Testing and Test Control Notation version 3), designed the testing process of handover in cells, developed the corresponding test cases, and completed the protocol conformance test of Terminal RRM Handover procedure.
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Taravath, Sasidharan, Megan Peedin, Mark Williams, Len Lecci, and Julian Keith. "Validation of a Concussion Assessment Tool." Neurology 93, no. 14 Supplement 1 (2019): S2.1—S2. http://dx.doi.org/10.1212/01.wnl.0000580836.31693.fa.

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ObjectiveSports related concussions, or mild traumatic brain injuries, have been steadily increasing over the past two decades. Effective screening and identification of concussions play a critical role in the diagnosis and rehabilitation process. Although side line assessment tools are available, there are few well validated tests available to assist medical providers in this decision-making process. This study aims to determine whether previously validated tools which assess neurocognitive and neurophysiological abilities can predict concussion symptom endorsement in a sample of child and ad
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Lei, Liang, and Guang Dong Zhang. "A Validation Method of Interpretive Simulator Based on Automatic Contrast Model." Applied Mechanics and Materials 444-445 (October 2013): 1793–98. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1793.

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This paper presents a validation method of interpretive simulator based on automatic contrast Model, which can realize the functional validation in millions gates DSP project and reduce the workload of manual programming test cases. With the advantage of simple structure and easy to use, the interpretive simulator discussed in this paper have successfully remedied the performance problems through hardware acceleration to test sequence simulation.
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Mialon, Bruno, Alex Khrabrov, Saloua Ben Khelil, et al. "Validation of numerical prediction of dynamic derivatives: The DLR-F12 and the Transcruiser test cases." Progress in Aerospace Sciences 47, no. 8 (2011): 674–94. http://dx.doi.org/10.1016/j.paerosci.2011.08.010.

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Winton, James R., John M. Colombi, David R. Jacques, and Kip E. Johnson. "Validation of Digital System Models: A Framework and SysML Profile for Model‐Based Systems Engineering." INCOSE International Symposium 33, no. 1 (2023): 569–83. http://dx.doi.org/10.1002/iis2.13039.

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AbstractDigital Engineering (DE) and Model‐Based Systems Engineering (MBSE) are transforming existing acquisition processes. Little extant research exists regarding validation of digital system models. In the traditional “design‐build‐test” method, stakeholder requirements validation occurs near the end of development. However, DE is described as a “model‐analyze‐build” approach where validation is required earlier in the lifecycle to refine and add digital elements to the authoritative source of truth. This paper describes a framework for model‐based design reviews (MBDR) and extends previous
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Kotzke, K., and D. P. Pretschner. "Possibilities of Software Phantoms for Quality Control of KBS in Nuclear Medicine." Methods of Information in Medicine 31, no. 02 (1992): 126–34. http://dx.doi.org/10.1055/s-0038-1634866.

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Abstract:The assessment of the results of a “knowledge-based system” (KBS) for quality control is a basic requirement for clinical application: Large numbers of test studies are necessary in order to cover as widely as possible the spectrum of cases to be analyzed by the KBS. The use of original patient data as test data is one possibility, but real data are provided unevenly. This is due to the set of characteristics which are relevant to the analysis. Data are available in a limited quantity only. This implies a remaining set of unvalidated cases which are not represented in the data pool. T
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Goudar, Bhimanagouda V., and Varsha R. Kanchan. "Elevated serum bilirubin in acute appendicular perforation as a newer serum marker: a diagnostic validation test." International Surgery Journal 7, no. 2 (2020): 414. http://dx.doi.org/10.18203/2349-2902.isj20200289.

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Background: Acute appendicitis is the commonest cause of acute surgical abdomen. Appendicectomy is the most frequently performed urgent abdominal operation and is often the first major procedure performed by a surgeon in training. Delay in diagnosis and treatment results in increased rate of perforation, morbidity, mortality and hospital stay.Methods: A prospective study where a total of 100 patients with clinical, radiological and histopathological diagnosis of acute appendicitis or appendicular perforation were studied. The liver function tests were carried out in all the patients.Results: I
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Pareek, Chandra Shekhar. "Self-Learning Test Orchestration for Continuous AI Validation in InsurTech." Journal of Frontiers in Multidisciplinary Research 6, no. 1 (2025): 48–54. https://doi.org/10.54660/.ijfmr.2025.6.1.48-54.

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The rapid advancement of artificial intelligence (AI) in the InsurTech industry is transforming the way insurance services are delivered, making processes more efficient, personalized, and data driven. However, this progress also brings new challenges, particularly in ensuring the accuracy, reliability, and compliance of these AI-driven systems. Traditional testing methods often struggle to keep pace with the dynamic nature of AI algorithms, evolving datasets, and ever-changing regulatory landscapes. In response to these challenges, this paper delves into the concept of self-learning test orch
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Ferreira, Tiago S., Ewaldo E. C. Santana, Antônio F. L. Jacob Junior, et al. "Diagnostic Classification of Cases of Canine Leishmaniasis Using Machine Learning." Sensors 22, no. 9 (2022): 3128. http://dx.doi.org/10.3390/s22093128.

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Proposal techniques that reduce financial costs in the diagnosis and treatment of animal diseases are welcome. This work uses some machine learning techniques to classify whether or not cases of canine visceral leishmaniasis are present by physical examinations. For validation of the method, four machine learning models were chosen: K-nearest neighbor, Naïve Bayes, support vector machine and logistic regression models. The tests were performed on three hundred and forty dogs, using eighteen characteristics of the animal and the ELISA (enzyme-linked immunosorbent assay) serological test as vali
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41

Goulart, Bernardo H. L., Emily Silgard, Christina S. Baik, et al. "Validation of natural language processing (NLP) for automated ascertainment of EGFR and ALK tests in SEER cases of non-small cell lung cancer (NSCLC)." Journal of Clinical Oncology 35, no. 15_suppl (2017): 6528. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.6528.

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6528 Background: The Surveillance, Epidemiology, and End Results (SEER) registries lack information on the Epidermal Growth Factor Receptor (EGFR) mutation and Anaplastic Lymphoma Kinase (ALK) gene rearrangement test results. With the goal of enabling population-based outcomes research in molecularly selected NSCLC subgroups, we conducted a validation study of NLP for ascertainment of EGFR and ALK testing from electronic pathology reports (e-paths) of patients included in the Seattle-Puget Sound (SPS) and Kentucky Cancer (KCR) SEER registries. Methods: We obtained 4,278 and 1,041 e-paths perta
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42

Purohit, Prasanta, Chinmayee Parida, Tapan Kumar Martha, Snehal Bholo, Aparupa Naik, and Samira Kumar Behera. "Evaluation of a point-of-care rapid diagnostic test kit (SICKLECHECK) for screening of sickle cell diseases." PLOS ONE 19, no. 8 (2024): e0309045. http://dx.doi.org/10.1371/journal.pone.0309045.

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Sickle cell diseases (SCD) are the most common genetic disorders with significant morbidity and mortality worldwide, including in India. The high prevalence of this disorder in many geographical regions calls for the use of a point-of-care rapid diagnostic test (RDT) for early screening and management of the diagnosed cases to reduce the allied clinical severity. In view of this, the present study was undertaken for the validation of a point-of-care RDT kit (SICKLECHECKTM) for the screening of SCD. This validation and diagnostic accuracy study was conducted among the cases advised for screenin
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43

Gao, Qiang, Yuzi Zhang, Jiayue Xu, et al. "Clinical validation of a multicancer detection blood test by circulating cell-free DNA (cfDNA) methylation sequencing: The THUNDER study." Journal of Clinical Oncology 40, no. 16_suppl (2022): 10544. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.10544.

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10544 Background: The development of ultra-sensitive genomic and epigenomic assays enables the early detection of multiple cancers in parallel. However, large-scale prospective clinical validation data are rare. Here, we report clinical validation data from the THUNDER (The Unintrusive Detection of EaRly-stage cancers, NCT04820868) study, which evaluates the performance of ELSA-seq among 6 cancer types in lung, colorectum, liver, esophagus, pancreas and ovary, which account for 50% of cancer morbidity and 62% of cancer mortality. Methods: This prospective case-control study consists of four st
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44

Gao, Qiang, Yuzi Zhang, Jiayue Xu, et al. "Clinical validation of a multicancer detection blood test by circulating cell-free DNA (cfDNA) methylation sequencing: The THUNDER study." Journal of Clinical Oncology 40, no. 16_suppl (2022): 10544. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.10544.

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10544 Background: The development of ultra-sensitive genomic and epigenomic assays enables the early detection of multiple cancers in parallel. However, large-scale prospective clinical validation data are rare. Here, we report clinical validation data from the THUNDER (The Unintrusive Detection of EaRly-stage cancers, NCT04820868) study, which evaluates the performance of ELSA-seq among 6 cancer types in lung, colorectum, liver, esophagus, pancreas and ovary, which account for 50% of cancer morbidity and 62% of cancer mortality. Methods: This prospective case-control study consists of four st
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45

Klothakis, Angelos, and Ioannis K. Nikolos. "Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals." Computation 12, no. 10 (2024): 198. http://dx.doi.org/10.3390/computation12100198.

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The Direct Simulation Monte Carlo (DSMC) method, introduced by Graeme Bird over five decades ago, has become a crucial statistical particle-based technique for simulating low-density gas flows. Its widespread acceptance stems from rigorous validation against experimental data. This study focuses on four validation test cases known for their complex shock–boundary and shock–shock interactions: (a) a flat plate in hypersonic flow, (b) a Mach 20.2 flow over a 70-degree interplanetary probe, (c) a hypersonic flow around a flared cylinder, and (d) a hypersonic flow around a biconic. Part A of this
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Gupta, Atulya, and Rajendra Prasad Mahapatra. "Multifactor Algorithm for Test Case Selection and Ordering." Baghdad Science Journal 18, no. 2(Suppl.) (2021): 1056. http://dx.doi.org/10.21123/bsj.2021.18.2(suppl.).1056.

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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. Many former studies revealed the heuristic-dependent mechanism to attain optimality while reducing or prioritizing test cases. Nevertheless, those studies were deprived of systematic procedures to manage tied test cases issue. Moreover, evolutionary algorithms such as the genetic process often help in depleting test cases, together with a concurrent de
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47

van der Avoort, S. J. C., N. van Heerbeek, G. A. Zielhuis, and C. W. R. J. Cremers. "Validation of sonotubometry in healthy adults." Journal of Laryngology & Otology 120, no. 10 (2006): 853–56. http://dx.doi.org/10.1017/s0022215106001095.

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Background: Frequent active opening of the eustachian tube (ET) allows ventilation of the middle ear and equilibration of pressure changes. Active opening is accomplished by the contraction of the paratubal muscles during swallowing. Because a disturbance of the ventilatory function of the ET may contribute to the development of otitis media with effusion, it is important to investigate ET function. Sonotubometry can be used to detect whether the ET can open or not during swallowing acts.Methods: We developed a sonotubometer to test ET ventilatory function in 36 healthy adults. The width of th
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48

Shwe, M. A., S. W. Tu, and L. M. Fagan. "Validating the Knowledge Base of a Therapy Planning System." Methods of Information in Medicine 28, no. 01 (1989): 36–50. http://dx.doi.org/10.1055/s-0038-1635547.

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Abstract:Validation of expert system knowledge bases has proved to be difficult. This paper presents a description of a system called ScriptGen that generates test data for validating the knowledge base of the ONCOCIN cancer therapy planning system. Because of the size and complexity of the ONCOCIN knowledge base, we require tools for automated validation. ScriptGen, which applies techniques developed in testing both traditional software and expert systems, uses a parallel model of the ONCOCIN knowledge base and its own inference engine to generate test cases. We derived the limits of the syst
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Papuga, Jan, Martin Nesládek, Alexander Hasse, Eva Cízová, and Lukáš Suchý. "Benchmarking Newer Multiaxial Fatigue Strength Criteria on Data Sets of Various Sizes." Metals 12, no. 2 (2022): 289. http://dx.doi.org/10.3390/met12020289.

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The paper presents a comparison of six recently introduced multiaxial fatigue strength estimation criteria to four methods, the large-scope validation of which has already been published. The results obtained for each newer method are analyzed and discussed. From the newer methods, only the criterion by Böhme reaches an estimation quality similar to the best performing criteria. The validation was performed on the FatLim data sets, but the primary focus of the paper is set to analyzing the validation on a smaller AMSD25 data set derived from it. The comparison shows that the application of AMS
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50

He, Xiaosheng, Shaohua Ma, Hong Xu, et al. "Development and clinical validation of a cell-free DNA methylation sequencing test for multi-cancer early detection." Journal of Clinical Oncology 43, no. 16_suppl (2025): 10537. https://doi.org/10.1200/jco.2025.43.16_suppl.10537.

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10537 Background: Achieving robust early-stage sensitivity in multi-cancer early detection (MCED) poses challenges, relying on large cohorts of early-stage samples and reliable prediction frameworks. Particularly for gastrointestinal cancers (GICs) with poor compliance of screening, early-stage sensitivity in MCED remains insufficient. Moreover, accurate tumor localization is crucial for choosing subsequent diagnostic procedures but remains suboptimal. We evaluate the performance of Genie-seq within the ProFuture study (NCT05874648), focusing on its capacity to detect five high-mortality cance
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