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Journal articles on the topic 'TESTING FRAMEWORKS'

Author: Grafiati

Published: 16 January 2024

Last updated: 31 July 2025

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1

He, Zhong Hai, Xiang Zhang, and Xiang Yin Zhu. "Design and Implementation of Automation Testing Framework Based on Keyword Driven." Applied Mechanics and Materials 602-605 (August 2014): 2142–46. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2142.

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For the purpose of settling problems in the present automated testing frameworks, the paper presents an automated testing framework based on keyword driven technology. At first, it summarized and analyzed the recent automated testing frameworks; and then it proposed the framework’s system architecture, and also presented the key technology details of the framework. At last, this paper compared this paper’s framework with the recent frameworks by the IP phone, which proved that this framework had superiority in reducing the scale of test scripts, raising the overall efficiency of testing and so

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2

Noonan, Robert E., and Richard H. Prosl. "Unit testing frameworks." ACM SIGCSE Bulletin 34, no. 1 (2002): 232–36. http://dx.doi.org/10.1145/563517.563429.

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Neelapu, Mohnish. "Hybrid Testing Frameworks: Benefits and Challenges in Automation." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 1 (2025): 2164–69. https://doi.org/10.54660/.ijmrge.2025.6.1.2164-2169.

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The Hybrid Automation Framework is structured around the core principles of test automation, which include test independence, idempotency, and clarity—essential elements for developing a robust testing suite. This document details the development of Hybrid Test Automation Framework also provides an overview of its architecture and design. The framework is user-friendly and integrates a high-level programming language that supports object-oriented design, facilitates low-level access to user interface components, and allows for rapid recovery from alterations to the user interface of the applic

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Neelapu, Mohnish. "Hybrid Testing Frameworks: Benefits and Challenges in Automation." International Journal of Multidisciplinary Research and Growth Evaluation. 6, no. 1 (2025): 2164–68. https://doi.org/10.54660/.ijmrge.2025.6.1.2164-2168.

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The Hybrid Automation Framework is structured around the core principles of test automation, which include test independence, idempotency, and clarity—essential elements for developing a robust testing suite. This document details the development of Hybrid Test Automation Framework also provides an overview of its architecture and design. The framework is user-friendly and integrates a high-level programming language that supports object-oriented design, facilitates low-level access to user interface components, and allows for rapid recovery from alterations to the user interface of the applic

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Arjun, Mantri. "Enhancing Data Quality in Data Engineering using Data Testing Framework: Types and Tradeoffs." European Journal of Advances in Engineering and Technology 7, no. 10 (2020): 95–100. https://doi.org/10.5281/zenodo.13354036.

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Ensuring high data quality is critical in the era of big data, where reliable data is essential for accurate decision-making and business intelligence. This paper reviews various data testing frameworks designed to enhance data quality, including data validation, data cleansing, data profiling, data lineage, and automated testing frameworks. Each type of framework offers unique functionalities and presents distinct tradeoffs, such as customization versus complexity and real-time versus batch processing. By understanding these frameworks and their tradeoffs, data engineers can make informed dec

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Praveen, Kumar Koppanati. "Parallelizing Automated UI and API Tests for Java Applications." Journal of Scientific and Engineering Research 10, no. 3 (2023): 155–59. https://doi.org/10.5281/zenodo.13912400.

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The growth and complexity of modern Java applications require newer testing strategies to make it efficient and faster. Automated testing, both for User Interfaces (UI) and Application Programming Interfaces (APIs), is crucial in maintaining the reliability and robustness of these applications. However, traditional approaches to automated testing often involve sequential execution, which can lead to significant delays in feedback and increased time-to-market. This paper discusses the parallelization of automated UI and API tests for Java applications to improve performance and testing efficien

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Praveen, Kumar Koppanati. "Hybrid Automation Frameworks Using Java and JavaScript for Cross-Language Applications." Journal of Scientific and Engineering Research 8, no. 6 (2021): 206–10. https://doi.org/10.5281/zenodo.13912358.

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The growing complexity of web and mobile applications has necessitated the adoption of hybrid automation frameworks that can seamlessly integrate with both backend and frontend components. With Java being a dominant language for server-side logic and JavaScript leading on the client side, automation frameworks need to support cross-language testing to ensure comprehensive test coverage. This paper discusses hybrid automation frameworks that combine the strengths of Java and JavaScript for end-to-end testing of web and mobile applications. We analyze popular frameworks such as Selenium, Appium,

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Deepti, Sharma, Bharti Pragya, and Kumar Sablaniya Ankit. "AI in Software Testing: Enhancing Testing Frameworks with Artificial Intelligence." Journal of Advanced Research in Artificial Intelligence & It's Applications 2, no. 2 (2025): 15–17. https://doi.org/10.5281/zenodo.14916914.

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<em>Software testing plays a crucial role in ensuring the quality and reliability of software systems. Traditional testing methods, while effective, often require significant time and manual effort, making them prone to human error. The integration of Artificial Intelligence (AI) into software testing presents a ground breaking solution by automating test case generation, execution, and defect detection. This paper explores how AI-driven automated testing frameworks are transforming the software development lifecycle, highlighting key technologies, their benefits, and real-world applications.

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Sachin, Sharma, Saini Akash, and Sharma Deepti. "Review of Software Testing Models and Performance Optimization Techniques." Journal of Advancement in Software Engineering and Testing 8, no. 1 (2025): 36–38. https://doi.org/10.5281/zenodo.14770935.

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<em>Software testing is still a vital activity to ensure the quality, reliability, and security of software. This review paper discusses current software testing models and performance optimization strategies. The review is based on various frameworks and tools and emphasizes automation and AI advancements. Key models include Waterfall, V-Model, Agile, and Spiral, each of which has specific characteristics and uses. Optimization techniques, such as fault localization and combinatorial testing, are also assessed. Scalability and AI model biases are identified as challenges and future research i

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Berihun, Natnael Gonfa, Cyrille Dongmo, and John Andrew Van der Van der Poll. "The Applicability of Automated Testing Frameworks for Mobile Application Testing: A Systematic Literature Review." Computers 12, no. 5 (2023): 97. http://dx.doi.org/10.3390/computers12050097.

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Mobile applications are developed and released to the market every day. Due to the intense usage of mobile applications, their quality matters. End users’ rejection of mobile apps increases from time to time due to their low quality and lack of proper mobile testing. This indicates that the role of mobile application testing is crucial in the acceptance of a given software product. Test engineers use automation frameworks for testing their mobile applications. Automated testing brings several advantages to the development team. For example, automated checks are used for regression testing, fas

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Mu, Yanzhou, Juan Zhai, Chunrong Fang, et al. "Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing." Proceedings of the ACM on Software Engineering 2, ISSTA (2025): 2158–80. https://doi.org/10.1145/3728972.

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Deep learning (DL) frameworks are essential to DL-based software systems, and framework bugs may lead to substantial disasters, thus requiring effective testing. Researchers adopt DL models or single interfaces as test inputs and analyze their execution results to detect bugs. However, floating-point errors, inherent randomness, and the complexity of test inputs make it challenging to analyze execution results effectively, leading to existing methods suffering from a lack of suitable test oracles. Some researchers utilize metamorphic testing to tackle this challenge. They design Metamorphic Re

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Hanna, Milad, Amal Elsayed, and Mostafa-Sami M. "Automated Software Testing Frameworks: A Review." International Journal of Computer Applications 179, no. 46 (2018): 22–28. http://dx.doi.org/10.5120/ijca2018917171.

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Zhou, Hang, Weiren Sun, Yu Jiang, and Yi Zhu. "Polymorphism Testing Frameworks of Sequence Diagrams." Advanced Science Letters 6, no. 1 (2012): 851–54. http://dx.doi.org/10.1166/asl.2012.2303.

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Swamy Prasadarao Velaga. "AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS." International Journal of Innovations in Engineering Research and Technology 5, no. 2 (2018): 78–85. http://dx.doi.org/10.26662/ijiert.v5i2.pp78-85.

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The purpose of this research study is to review and analyze the automated testing frameworks thoroughly with the main areas of focus on the quality assurance of the software and the minimization of testing that is done manually. The research aims and objectives are as follows: This is in relation to the historical development of these frameworks, their types, and their essential characteristics The examination of their effectiveness in enhancing software quality Determine the extent of diminished manual testing efforts The examination of the various ineffectiveness and drawbacks related to the

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Taylor, Greg. "Credibility, Hypothesis Testing and Regression Software." ASTIN Bulletin 37, no. 2 (2007): 517–35. http://dx.doi.org/10.1017/s0515036100014975.

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It has been known since Zehnwirth (1977) that a scalar credibility coefficient is closely related to the F-statistic of an analysis of variance between and within risk clauses. The F-statistic may also be viewed as testing a certain regression structure, associated with credibility framework, against the null hypothesis of a simpler structure.This viewpoint is extended to multi-dimensional credibility frameworks in which the credibility coefficient is a matrix (Sections 3 and 4), and to hierarchical regression credibility frameworks (Section 6). In each case the credibility coefficient is expr

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Shtokal, Alla, and Jakub Smołka. "Comparative analysis of frameworks used in automated testing on example of TestNG and WebdriverIO." Journal of Computer Sciences Institute 19 (June 30, 2021): 100–106. http://dx.doi.org/10.35784/jcsi.2595.

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The article presents a comparative analysis of frameworks supporting the development of automated tests for defined test scenarios. The comparative study concerned the TestNG and WebDriverIO frameworks. The overview of the tool has been analyzed both in terms of the test development process as well as the speed and efficiency of their execution. The website github.com was used for the purposes of the work. This application was used to run test scripts written in both frameworks. The results were compared by five defined criteria: the time of running the test files in different browser operatio

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Taylor, Greg. "Credibility, Hypothesis Testing and Regression Software." ASTIN Bulletin 37, no. 02 (2007): 517–35. http://dx.doi.org/10.2143/ast.37.2.2024078.

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It has been known since Zehnwirth (1977) that a scalar credibility coefficient is closely related to the F-statistic of an analysis of variance between and within risk clauses. The F-statistic may also be viewed as testing a certain regression structure, associated with credibility framework, against the null hypothesis of a simpler structure. This viewpoint is extended to multi-dimensional credibility frameworks in which the credibility coefficient is a matrix (Sections 3 and 4), and to hierarchical regression credibility frameworks (Section 6). In each case the credibility coefficient is exp

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BAHRІI, Ruslan, and Serhii PETROVSKYI. "FEATURES OF MODERN WEB APPLICATION TESTING." Herald of Khmelnytskyi National University. Technical sciences 309, no. 3 (2022): 70–74. http://dx.doi.org/10.31891/2307-5732-2022-309-3-70-74.

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This paper investigates the technology and approaches to testing web applications in modern frameworks. The main techniques of manual testing, which require a large amount of manual work, are considered. The disadvantages of implementing the black-box testing method include the development of a formal specification, and the application of the white-box testing method requires analysis of software code. Particular attention is given to automated testing technologies, which are proposed to be used to develop sites in modern frameworks. The Test pyramid and test levels are described in detail, an

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Leong, Wai Yie, and Sothy Sundara Raju. "Identifying Research Gaps in AI-Driven Software Testing: A Review of Automation Tools and Challenges in SMEs." ASM Science Journal 20, no. 1 (2025): 1–19. https://doi.org/10.32802/asmscj.2025.2006.

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AI-driven (Artificial Intelligence) software testing frameworks have become crucial in today's fast-paced digital environment to guarantee the timely delivery of high-quality systems. Software testing is undergoing a revolution because of the incorporation of AI-driven frameworks, which automate intricate test scenarios, improve accuracy, and drastically cut down on time-to-market. However, a lack of defined frameworks, cost concerns, and ambiguity over performance hinder the adoption of advanced AI-powered testing solutions by many SMEs (Small and Medium-Sized Enterprises). Researchers and in

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Soujanya, Reddy Annapareddy. "Optimizing Android Device Testing with Automation Frameworks." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 4 (2024): 1–7. https://doi.org/10.5281/zenodo.14540907.

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The exponential growth of mobile applications has introduced new challenges in ensuring quality across the diverse ecosystem of Android devices. The fragmentation of hardware and software configurations demands robust and efficient testing methodologies. This paper investigates the optimization of Android device testing through the use of an advanced automation framework called Appium. By leveraging these frameworks, testing processes can achieve enhanced efficiency, scalability, and reliability. A case study is presented to illustrate the practical application of automation in testing an e-co

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D., Rajya Lakshmi, and Suguna Mallika S. "A Review on Web Application Testing and its Current Research Directions." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 4 (2017): 2132–41. https://doi.org/10.11591/ijece.v7i4.pp2132-2141.

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Testing is an important part of every software development process on which companies devote considerable time and effort. The burgeoning web applications and their proliferating economic significance in the society made the area of web application testing an area of acute importance. The web applications generally tend to take faster and quicker release cycles making their testing very challenging. The main issues in testing are cost efficiency and bug detection efficiency. Coverage-based testing is the process of ensuring exercise of specific program elements. Coverage measurement helps dete

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Kurniasari, Dias Tri, and Siti Rochimah. "An evaluation model of website testing framework based on ISO 25010 performance efficiency." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 1130. http://dx.doi.org/10.11591/ijeecs.v37.i2.pp1130-1139.

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Testing is an important aspect of software development. Automation testing is now widely used to achieve better and more efficient results. Various automation testing frameworks are available in the market. However, one of the major challenges is determining which automation testing framework is suitable for testing. This study proposes an evaluation model for evaluating web automation testing frameworks based on seven performance efficiency factors to address this issue. The model evaluates five types of transactions commonly used on the web; CRUD, Get Massive Data, search, file upload, and f

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Dias, Tri Kurniasari Siti Rochimah. "An evaluation model of website testing framework based on ISO 25010 performance efficiency." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 1130–39. https://doi.org/10.11591/ijeecs.v37.i2.pp1130-1139.

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Testing is an important aspect of software development. Automation testing is now widely used to achieve better and more efficient results. Various automation testing frameworks are available in the market. However, one of the major challenges is determining which automation testing framework is suitable for testing. This study proposes an evaluation model for evaluating web automation testing frameworks based on seven performance efficiency factors to address this issue. The model evaluates five types of transactions commonly used on the web; CRUD, Get Massive Data, search, file upload, and f

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Madeja, Matej, Jaroslav Porubän, Sergej Chodarev, Matúš Sulír, and Filip Gurbáľ. "Empirical Study of Test Case and Test Framework Presence in Public Projects on GitHub." Applied Sciences 11, no. 16 (2021): 7250. http://dx.doi.org/10.3390/app11167250.

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Automated tests are often considered an indicator of project quality. In this paper, we performed a large analysis of 6.3 M public GitHub projects using Java as the primary programming language. We created an overview of tests occurrence in publicly available GitHub projects and the use of test frameworks in them. The results showed that 52% of the projects contain at least one test case. However, there is a large number of example tests that do not represent relevant production code testing. It was also found that there is only a poor correlation between the number of the word “test” in diffe

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Gimatdinov, Damir Maratovich, Alexander Yurievich Gerasimov, Petr Alekseevich Privalov, Veronika Nikolaevna Butkevich, Natalya Andreevna Chernova, and Anna Antonovna Gorelova. "An Automated Framework for Testing Source Code Static Analysis Tools." Proceedings of the Institute for System Programming of the RAS 33, no. 3 (2021): 41–50. http://dx.doi.org/10.15514/ispras-2021-33(3)-3.

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Automated testing frameworks are widely used for assuring quality of modern software in secure software development lifecycle. Sometimes it is needed to assure quality of specific software and, hence specific approach should be applied. In this paper, we present an approach and implementation details of automated testing framework suitable for acceptance testing of static source code analysis tools. The presented framework is used for continuous testing of static source code analyzers for C, C++ and Python programs.

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Adiatma, Shidqi, and Astie Darmayantie. "Implementation and Comparative Analysis of Test Automation Framework Performance for Functional Testing of Web-Based Applications using the Distance to the Ideal Alternative (DIA) Method." Widya Teknik 22, no. 2 (2023): 36–41. http://dx.doi.org/10.33508/wt.v22i1.5027.

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The importance of functional testing is to ensure the quality of web-based applications so as to improve user experience (user experience) to make it more secure and reliable in ever-increasing market pressure. Can encourage many companies to build high-quality applications and he can release in a short time. Because of this, the testing process must be automated to ensure applications run quickly and effectively. There are several test automation frameworks, specifically for web-based applications that offer effective features and performance to test applications more effectively, such as Kat

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Saarathy, Sutharsan, Suresh Bathrachalam, and Bharath Rajendran. "Self-Healing Test Automation Framework using AI and ML." International Journal of Strategic Management 3, no. 3 (2024): 45–77. http://dx.doi.org/10.47604/ijsm.2843.

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Purpose: In the lifecycle of Product Development and Management, automated testing has become a cornerstone for ensuring product quality and accelerating release cycles. However, the maintenance of test automation suites often presents significant challenges, particularly due to the frequent changes in application interfaces that lead to broken tests. This paper explores the development and implementation of self-healing test automation frameworks that leverage Artificial Intelligence (AI) and Machine Learning (ML) techniques to automatically detect, diagnose, and repair broken tests. Methodol

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Pradeepkumar Palanisamy. "Cross-team component mocking frameworks for integration testing." World Journal of Advanced Engineering Technology and Sciences 7, no. 1 (2022): 245–56. https://doi.org/10.30574/wjaets.2022.7.1.0096.

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In the complex and interconnected landscape of modern distributed systems, efficient and reliable integration testing presents a formidable challenge, particularly when external or downstream services are unstable, under development, or costly to access. This comprehensive content explores the critical role and profound benefits of Cross-Team Component Mocking Frameworks. These sophisticated, shared tooling solutions are meticulously designed to simulate the precise responses of downstream services, external APIs, or complex third-party components. By establishing a controlled and consistent m

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Devyatovskaya, A. D., N. E. Biryuchkov, T. V. Liakh, and K. V. Chaika. "SLAM in Duckietown Simulator Using the OpenVSLAM Framework." Vestnik NSU. Series: Information Technologies 19, no. 4 (2022): 36–49. http://dx.doi.org/10.25205/1818-7900-2021-19-4-36-49.

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The article is devoted to evaluating the applicability of SLAM frameworks for the task of mobile robots of the Duckietown project. The paper provides a comparative analysis of existing SLAM algorithms and frameworks and se-lects frameworks taking into account all the constraints imposed by the project robots. The practical results of testing OpenVSLAM framework on the Duckietown environment and Duckietown simulator data are presented.

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Agrawal, Sachin, and Prabhat Chauhan. "Debugging Error with The Help of Software Testing Methods." International Journal of Ingenious Research, Invention and Development (IJIRID) 1, no. 1 (2023): 26–28. https://doi.org/10.5281/zenodo.7821125.

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Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components software testing is an activity to check whether the actual results match the expected results and to ensure that the software system is Defect free. Testing is a very important step in software development to ensure that the software does properly, what it is supposed to do. While the development of the software there arise certain problems that leads to error, defects, and compli

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Twinkle, Joshi. "Breaking Down Automation Frameworks: Building Blocks for Better Testing." European Journal of Advances in Engineering and Technology 11, no. 11 (2024): 104–16. https://doi.org/10.5281/zenodo.15234713.

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Automation frameworks are the cornerstone of efficient and scalable software testing, providing structured methodologies and reusable components to enhance quality assurance and streamline processes. This article explores the essential building blocks of automation frameworks, highlighting their role in transforming testing practices through advanced tools, design patterns, and innovative approaches. By automating repetitive tasks, frameworks enable QA professionals to focus on high-value activities such as test design and usability evaluations, delivering benefits including improved accuracy,

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Ichanska, N. "Tools and instruments for developing a web application with student knowledge level testing." Mechanics And Mathematical Methods 6, no. 1 (2024): 95–106. http://dx.doi.org/10.31650/2618-0650-2024-6-1-95-106.

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This work is dedicated to the exploration of modern web application development technologies and their use in assessing knowledge levels. Current and relevant technologies facilitating web application creation were studied, and a comparative analysis of the most popular frameworks for web development was conducted. The research subject of this scientific work revolves around existing contemporary frameworks and tools utilized in developing web applications. The study concentrates on learning about current technologies associated with web application development and their utilization in assessi

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Abhishek Nimdia. "Optimization of Automated Testing Frameworks for High-Performance Environments." International Journal of Engineering and Computer Science 14, no. 05 (2025): 27199–206. https://doi.org/10.18535/ijecs.v14i05.5122.

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This study explores the optimization of automated testing frameworks for high-performance computing environments, including IoT systems. A comprehensive analysis of existing challenges is conducted, including device heterogeneity, interoperability issues, scalability constraints, and security concerns. The study identifies potential solutions through the integration of modern artificial intelligence (AI) techniques and self-healing mechanisms. The methodology is based on an analysis of publicly available scientific research. Empirical evaluations and implementation examples demonstrate improve

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Pelivani, Elis, Adrian Besimi, and Betim Cico. "Customized Software Testing Framework for Web Applications." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 10, no. 01 (2022): 76–85. http://dx.doi.org/10.3991/ijes.v10i01.29473.

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Software testing is gaining more attention and investments in the IT companies. We have both manual and automated approaches, considering the dynamic of the project the appropriate one is chosen. There have been presented and used several frameworks and tools for this purpose. However, the outcome is that a single tool does not cover all the testing needs of IT systems. In this paper, we will present a customized framework based in Selenium that tackle this gap within the IT systems where several modules with many cross function are involved. We will present the architecture overview and a cas

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Latif, Ummi Khaira, and Tien Fabrianti Kusumasari. "COMPARISON BETWEEN YII FRAMEWORKS AND LARAVEL IN 3 DIFFERENT VERSION FOR VIEWING LARGE DATA OF SHIPYARD INDUSTRY IN INDONESIA." International Journal of Innovation in Enterprise System 2, no. 01 (2018): 13–18. http://dx.doi.org/10.25124/ijies.v2i01.12.

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The objective of this paper is to compare two PHP frameworks with execution time, peak memory usage and throughput metrics. This performance comparison was done for Laravel and Yii2 frameworks using MySQL employee database [26] which freely downloaded for testing necessary. The database provided a large amount of data included million entry records. Using a large amount of record, we try to give some view to another developer for considering when choosing the PHP framework for their development. The result in this paper give Laravel has better performance in execution time and throughput measu

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Hemanth Aditya. "Building scalable android testing frameworks: Lessons from google chat UI refresh." International Journal of Science and Research Archive 14, no. 1 (2025): 712–19. https://doi.org/10.30574/ijsra.2025.14.1.0058.

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This article uses the successful implementation of the Google Chat UI Refresh project to provide thorough insights into creating scalable testing frameworks for Android applications. It examines several contemporary Android testing topics, such as multi-layered testing methodologies, optimal test architecture methods, and particular concerns for Jetpack Compose. The article illustrates how appropriate testing frameworks can greatly increase development efficiency, lower errors, and improve overall application quality by analyzing real-world implementation tactics. Considerations for continuous

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Guan, Hao, Guangdong Bai, and Yepang Liu. "CrossProbe: LLM-Empowered Cross-Project Bug Detection for Deep Learning Frameworks." Proceedings of the ACM on Software Engineering 2, ISSTA (2025): 2430–52. https://doi.org/10.1145/3728984.

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Deep Learning (DL) models may introduce reliability challenges in the underlying DL frameworks. These frameworks may be prone to bugs that can lead to crash or wrong results, particularly when involving complex model architectures and substantial computational demands. Such framework bugs can disrupt DL applications, impacting customer experience and potentially causing financial losses. Traditional approaches to testing DL frameworks face limitations in adapting to the vast search space of model structures, diverse APIs, and the complexity of hybrid programming and hardware environments. Rece

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Alemayehu, Hayleyesus, and Arman Sargolzaei. "Testing and Verification of Connected and Autonomous Vehicles: A Review." Electronics 14, no. 3 (2025): 600. https://doi.org/10.3390/electronics14030600.

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Connected and Autonomous Vehicles (CAVs) have the potential to revolutionize transportation by addressing critical challenges such as safety, energy efficiency, traffic congestion, and environmental impact. Realizing these benefits, however, requires the development of a rigorous testing and verification framework to enable the safe, efficient, and reliable deployment of CAVs across diverse operational scenarios. Despite the growing body of research, there remains a significant gap in review papers that comprehensively summarize recent studies related to the testing and verification of CAVs wh

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Veeranna, Kotagi. "Adaptive and Predictive Testing Frameworks Using Chaos Engineering and Deep Learning for Enterprise QA." Recent Trends in Data Knowledge Discovery and Data Mining 1, no. 1 (2025): 16–22. https://doi.org/10.5281/zenodo.15187073.

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<em>As enterprise software systems grow in complexity and scale, traditional quality assurance (QA) methods fall short in predicting failures and ensuring system resilience. This research proposes an innovative QA paradigm that integrates chaos engineering with deep learning to create adaptive and predictive testing frameworks. Chaos engineering introduces controlled disruptions to identify system weaknesses under real-world stress, while deep learning models analyze test outcomes to anticipate failure points and adapt testing strategies dynamically. The proposed framework supports continuous

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Piggott, Thomas, Lorenzo Moja, Carlos A. Cuello Garcia, et al. "User-experience testing of an evidence-to-decision framework for selecting essential medicines." PLOS Global Public Health 4, no. 1 (2024): e0002723. http://dx.doi.org/10.1371/journal.pgph.0002723.

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Essential medicine lists (EMLs) are important medicine prioritization tools used by the World Health Organization (WHO) EML and over 130 countries. The criteria used by WHO’s Expert Committee on the Selection and Use of Essential Medicines has parallels to the GRADE Evidence-to-Decision (EtD) frameworks. In this study, we explored the EtD frameworks and a visual abstract as adjunctive tools to strengthen the integrate evidence and improve the transparency of decisions of EML applications. We conducted user-experience testing interviews of key EML stakeholders using Morville’s honeycomb model.

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Ansari, Mohammed Afzal, and Kiran Bhimrao Ingle. "Software Testing." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 979–84. http://dx.doi.org/10.22214/ijraset.2022.43914.

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Abstract— With the developing complexity of today’s software program applications injunction with the increasing competitive pressure has driven the excellent assurance of developed software towards new heights. software program trying out is an inevitable part of the software program development Lifecycle and retaining in keeping with its criticality in the pre and submit development process makes it something that have to be catered with stronger and green methodologies and strategies. This paper objectives to speak about the prevailing in addition to advanced trying out techniques for the b

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Komal, Jasani. "Creating a Scalable VR Testing Environment." International Journal of Leading Research Publication 5, no. 1 (2024): 1–9. https://doi.org/10.5281/zenodo.14982309.

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Virtual Reality (VR) technology has widespread adoption across industries, from gaming and training simulations to healthcare and industrial design. However, creating scalable VR testing environments remains challenging due to hardware limitations, software compatibility, and resource-intensive processes. This paper explores methodologies for designing and implementing scalable VR testing environments that optimize computational efficiency, enhance reproducibility, and support large-scale user testing. We discuss cloud-based VR simulations, distributed rendering techniques, and automation fram

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Tejada, Gabriela, Marina Cracco, Clémence Ranquet Bouleau, Jean-Claude Bolay, and Silvia Hostettler. "Testing Analytical Frameworks in Transdisciplinary Research for Sustainable Development." Sustainability 11, no. 16 (2019): 4343. http://dx.doi.org/10.3390/su11164343.

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This article discusses the concept and the practice of transdisciplinary research, including how it is conceived and implemented through the cooperation of different actors involved. With transdisciplinarity gaining recognition as an approach to addressing sustainable development challenges, the successful integration of various disciplines and actors in the process of knowledge generation becomes essential. Through the Cooperation and Development Center (CODEV), the Ecole Polytechnique Fédérale de Lausanne (EPFL) has promoted transdisciplinary research by proposing a space where North–South p

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Ghani, M. Ahmad Nawaz ul, M. Shoaib Farooq, and Amjad Hussain Zahid. "Effectiveness of Agile Development Frameworks with Respect to Testing." VAWKUM Transactions on Computer Sciences 15, no. 2 (2018): 84. http://dx.doi.org/10.21015/vtcs.v15i2.518.

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Springer, Lena. "Frameworks of Choice: Predictive and Genetic Testing in Asia." East Asian Science, Technology and Society 10, no. 3 (2016): 333–36. http://dx.doi.org/10.1215/18752160-3624488.

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Marynowski, João Eugenio, Altair Olivo Santin, and Andrey Ricardo Pimentel. "Method for testing the fault tolerance of MapReduce frameworks." Computer Networks 86 (July 2015): 1–13. http://dx.doi.org/10.1016/j.comnet.2015.04.009.

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Nelson, Eliza L., Caroline Danforth, and Amy W. Needham. "Infant reaching and grasping: Frameworks for testing developmental cascades." Infant Behavior and Development 80 (September 2025): 102104. https://doi.org/10.1016/j.infbeh.2025.102104.

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Researcher. "MACHINE LEARNING-DRIVEN TESTING PROCESS OPTIMIZATION: A SYSTEMATIC REVIEW OF CROSS-INDUSTRY APPLICATIONS AND IMPLEMENTATION FRAMEWORKS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 1126–38. https://doi.org/10.5281/zenodo.14327675.

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This comprehensive article examines the integration of machine learning technologies in testing process optimization across diverse industries, addressing the growing need for efficient and adaptive testing methodologies. The article analyzes the implementation of predictive analytics and adaptive testing models in streamlining quality control workflows while maintaining rigorous testing standards. Through a systematic examination of current applications, this article explores how artificial intelligence-driven approaches can effectively reduce testing cycles, minimize bottlenecks, and en

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Amit, Gupta. "Unveiling the Performance Divide: Appium's Slower Performance Compared to Native Frameworks." European Journal of Advances in Engineering and Technology 5, no. 12 (2018): 1077–81. https://doi.org/10.5281/zenodo.13235624.

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Mobile application testing plays a crucial role in the field of contemporary software development in guaranteeing user satisfaction and product quality. Since smartphones and tablets are part of daily life activities, mobile applications are essential tools for business, work, communication, and leisures. Therefore, the importance of performance in mobile application testing because customers demand faultless experiences that are characterized by effectiveness, dependability, and responsiveness. This research examines the differences between native testing frameworks like XCUITests for iOS and

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Drzazga, Krzysztof, Marcin Bobel, and Maria Skublewska-Paszkowska. "Comparative analysis of selected object-relational mapping systems for the .NET platform." Journal of Computer Sciences Institute 16 (September 30, 2020): 285–92. http://dx.doi.org/10.35784/jcsi.2024.

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This article is devoted to the comparison of two object-relational mapping systems supported by .NET platform - Entity Framework Core and NHibernate. The research hypothesis “framework NHibernate is more efficient than Entity Framework Core in the context of DML operations” was put forward. In order to make an efficiency analysis of ORM frameworks, a desktop application was designed and implemented to enable testing and visualization of results. The NHibernate framework turned out to be much more efficient than Entity Framework Core in single tests and slightly faster in bulk tests. The stabil

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