Relevant bibliographies by topics / OPTIMIZED TEST CASES

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Academic literature on the topic 'OPTIMIZED TEST CASES'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "OPTIMIZED TEST CASES"

1

Singh, Rajvir, Anita Singhrova, and Rajesh Bhatia. "Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software." International Journal of Open Source Software and Processes 9, no. 3 (2018): 15–35. http://dx.doi.org/10.4018/ijossp.2018070102.

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Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO
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2

Domínguez-Muñoz, J. Enrique, and Peter Malfertheiner. "Optimized serum pancreolauryl test for differentiating patients with and without chronic pancreatitis." Clinical Chemistry 44, no. 4 (1998): 869–75. http://dx.doi.org/10.1093/clinchem/44.4.869.

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Abstract The serum pancreolauryl test has limited sensitivity for detecting mild pancreatic insufficiency. The aim of this study was to optimize the serum pancreolauryl test so as to increase the probability of positive results in patients with chronic pancreatitis. The study had three parts. First, the sampling time was optimized by analyzing retrospectively the frequency of fluorescein peaks at different times from 0 to 240 min in 560 consecutive patients. Second, the calculation of serum fluorescein concentrations by means of a standard calibration factor was prospectively compared in 271 c
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3

P Mahapatra, R., Aparna Ranjith, and A. Kulothungan. "Framework for Optimizing Test Cases in Regression Testing." International Journal of Engineering & Technology 7, no. 3.12 (2018): 444. http://dx.doi.org/10.14419/ijet.v7i3.12.16126.

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Software once developed is subject to continuous changes. Software Regression Testing thus can be used to reduce the efforts of testing the software by selecting only the required number of test cases and ordering them to test the software after changes have been made to it. In order to improve the fault detection rate, the selection of efficient test cases and order of execution of these tests is important. Here is when the test case selection comes into picture where in, the fault detection rate during the working of any software has to be improved. The test case selection process will find
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4

Nelasov, N. J., R. V. Sidorov, M. N. Morgunov, et al. "Echocardiographic Stress Test with Adenosine Triphosphate: Optimization of the Algorithm." Kardiologiia 59, no. 11 (2019): 39–47. http://dx.doi.org/10.18087/cardio.2019.11.2665.

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Purpose. To: 1) optimize algorithm of stress echocardiography (s-Echo) with intravenous adenosine triphosphate (ATP) infusion taking into account pharmacokinetics and pharmacodynamics of ATP in human body, 2) test new algorithm in patients with coronary and other heart diseases. Materials and methods. In order to determine spectrum of factors influencing the results of stress test with ATP we inspected main scientific data bases and found 48 publications on ATP application for diagnostic purposes. Analysis of these publications allowed us to optimize algorithm of ATP s-Echo. Optimized algorith
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5

Horlenko, Olesya M., Vasyl I. Rusyn, Viktoriya M. Studenyak, et al. "INTEGRATIVE MORPHOMETRIC CHARACTERISTIC OF ENDOTHELIAL DYSFUNCTION IN THE CASES OF CHILDREN WITH ESSENTIAL ARTERIAL HYPERTENSION." Wiadomości Lekarskie 74, no. 4 (2021): 948–53. http://dx.doi.org/10.36740/wlek202104125.

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The aim: To optimize the treatment of children with Essential Arterial Hypertension (EAH) in assotiation with Endotelial Dysfunction (ED) by studying the clinical and morphofunctional characteristics of the cardiovascular system disorders and correction of endothelial dysfunction with the using of essential phospholipids. Materials and methods: The study group consisted of 80 children and 30 – a control group. The next stage included the division of 80 children into 2 subgroups. Patients in the first subgroup received basic treatment (angiotensin-converting enzyme inhibitor of the third genera
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6

Khari, Manju, and Prabhat Kumar. "Empirical Evaluation of Hill Climbing Algorithm." International Journal of Applied Metaheuristic Computing 8, no. 4 (2017): 27–40. http://dx.doi.org/10.4018/ijamc.2017100102.

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The software is growing in size and complexity every day due to which strong need is felt by the research community to search for the techniques which can optimize test cases effectively. The current study is inspired by the collective behavior of finding paths from the colony of food and uses different versions of Hill Climbing Algorithm (HCA) such as Stochastic, and Steepest Ascent HCA for the purpose of finding a good optimal solution. The performance of the proposed algorithm is verified on the basis of three parameters comprising of optimized test cases, time is taken during the optimizat
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7

Cioara, Tudor, Marcel Antal, Claudia Daniela Antal (Pop), et al. "Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment." Sustainability 12, no. 23 (2020): 9893. http://dx.doi.org/10.3390/su12239893.

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In this paper, we address the management of Data Centers (DCs) by considering their optimal integration with the electrical, thermal, and IT (Information Technology) networks helping them to meet sustainability objectives and gain primary energy savings. Innovative scenarios are defined for exploiting the DCs electrical, thermal, and workload flexibility as a commodity and Information and Communication Technologies (ICT) are proposed and used as enablers for the scenarios’ implementation. The technology and scenarios were evaluated in the context of two operational DCs: a micro DC in Poznan wh
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8

Sahoo, Rashmi Rekha, and Mitrabinda Ray. "Metaheuristic Techniques for Test Case Generation." Journal of Information Technology Research 11, no. 1 (2018): 158–71. http://dx.doi.org/10.4018/jitr.2018010110.

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The primary objective of software testing is to locate bugs as many as possible in software by using an optimum set of test cases. Optimum set of test cases are obtained by selection procedure which can be viewed as an optimization problem. So metaheuristic optimizing (searching) techniques have been immensely used to automate software testing task. The application of metaheuristic searching techniques in software testing is termed as Search Based Testing. Non-redundant, reliable and optimized test cases can be generated by the search based testing with less effort and time. This article prese
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9

Gladston, Angelin, and Niranjana Devi N. "Optimal Test Case Selection Using Ant Colony and Rough Sets." International Journal of Applied Evolutionary Computation 11, no. 2 (2020): 1–14. http://dx.doi.org/10.4018/ijaec.2020040101.

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Test case selection helps in improving quality of test suites by removing ambiguous, redundant test cases, thereby reducing the cost of software testing. Various works carried out have chosen test cases based on single parameter and optimized the test cases using single objective employing single strategies. In this article, a parameter selection technique is combined with an optimization technique for optimizing the selection of test cases. A two-step approach has been employed. In first step, the fuzzy entropy-based filtration is used for test case fitness evaluation and selection. In second
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10

Almutairi, Saleh Ateeq. "DL-MDF-OH2: Optimized Deep Learning-Based Monkeypox Diagnostic Framework Using the Metaheuristic Harris Hawks Optimizer Algorithm." Electronics 11, no. 24 (2022): 4077. http://dx.doi.org/10.3390/electronics11244077.

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At the time the world is attempting to get over the damage caused by the COVID-19 spread, the monkeypox virus threatens to evolve into a global pandemic. Human monkeypox was first recognized in Africa and has recently emerged in 103 countries outside Africa. However, monkeypox diagnosis in an early stage is difficult because of the similarity between it, chickenpox, cowpox and measles. In some cases, computer-assisted detection of monkeypox lesions can be helpful for quick identification of suspected cases. Infected and uninfected cases have added to a growing dataset that is publicly accessib
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