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Academic literature on the topic 'TESTING FRAMEWORKS'

Author: Grafiati

Published: 16 January 2024

Last updated: 22 June 2025

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Journal articles on the topic "TESTING FRAMEWORKS"

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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 on.

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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 application. The framework's architecture features a multi-layered design that separates browser UI components from test scripts. It incorporates various hybrid methodologies, including Linear Scripting, Module-Based Testing, Keyword-Driven Testing, as well as Data-Driven Testing. Additionally, the paper addresses both the advantages and challenges associated with the implementation of hybrid testing automation frameworks.

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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 application. The framework's architecture features a multi-layered design that separates browser UI components from test scripts. It incorporates various hybrid methodologies, including Linear Scripting, Module-Based Testing, Keyword-Driven Testing, as well as Data-Driven Testing. Additionally, the paper addresses both the advantages and challenges associated with the implementation of hybrid testing automation frameworks.

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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 decisions to implement the most suitable methods for their specific needs, ultimately ensuring robust data quality management.

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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, TestNG, Jasmine, and Protractor and demonstrate how they can be integrated into a cohesive testing environment. The paper also explores techniques for handling asynchronous operations, managing cross-browser compatibility, and synchronizing test data. Best practices for designing and implementing a modular, scalable, and maintainable hybrid automation framework are provided, with case studies that demonstrate its application in real-world projects.

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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 efficiency. Leveraging the inherent concurrency of modern hardware and distributed systems, we explore techniques for parallel test execution, examining frameworks such as Selenium, TestNG, and JUnit. By implementing parallelization strategies, organizations can significantly reduce test execution times, enhance resource utilization, and improve the overall quality of software delivery. Additionally, we discuss the potential challenges, including test dependencies, data management, and synchronization issues, and provide solutions to address these concerns.

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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. Additionally, we analyse challenges, limitations, and future trends in AI-powered testing frameworks to provide a comprehensive understanding of the evolving landscape of software testing.</em> <strong><em> </em></strong>

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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 ideas in intelligent testing frameworks are presented.</em>

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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, fast execution of test scripts, and providing quick feedback for the development team. A systematic literature review has been used to identify and collect evidence on automated testing frameworks for mobile application testing. A total of 56 relevant research papers were identified that were published in prominent journals and conferences until February 2023. The results were summarized and tabulated to provide insights into the suitability of the existing automation testing framework for mobile application testing. We identified the major test concerns and test challenges in performing mobile automation testing. The results showed that the keyword-driven testing framework is the widely used approach, but recently, hybrid approaches have been adopted for mobile test automation. On the other hand, this review indicated that the existing frameworks need to be customized using reusable and domain-specific keywords to make them suitable for mobile application testing. Considering this, this study proposes an architecture, the mobile-based automation testing framework (MATF). In the future, to address the mobile application testing challenges, the authors will work on implementing the proposed framework (MATF).

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Dissertations / Theses on the topic "TESTING FRAMEWORKS"

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Torkar, Richard. "Towards automated software testing : techniques, classifications and frameworks /." Karlskrona : Blekinge Institute of Technology, 2006. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/f1a6d04995a3622cc125719c004d9714?OpenDocument.

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Esbjörnsson, Linus. "Android GUI Testing : A comparative study of open source Android GUI testing frameworks." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11107.

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Android is one of the most popular mobile operating systems on the market today with a vast majority of the market share when it comes to mobile devices. Graphical user interfaces (GUI) are often seen on the applications on these devices. Testing of these GUIs is important since they often make up for half of the source code of the application, and they are used to interact with the application. Automating these tests is very useful since it saves a lot of time, but can be difficult. The tools that are available for automating the tests are often not suitable for the developers’ needs, because of the lack of functionality. Therefore, the need for a characterization of the frameworks is needed, so that developers more easily can fit a framework for their needs. In this study, four open source frameworks for Android GUI testing have been selected for evaluation: Robotium, Selendroid, UI Automator and Espresso. Criteria used in the evaluation have been identified with the help of a literature analysis.The results show that two of the frameworks, Robotium and Espresso, lack the ability to fully test activities, which is the main component of Android application GUIs. Furthermore, the study resulted in characterizations of the frameworks.

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Munjal, Surender. "Foreign acquisitions by Indian multinational enterprises : testing and extending internationalisation frameworks." Thesis, University of Leeds, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.616300.

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Since the turn of the 21st century, Indian multinationals (MNEs) have gained significance in the world economy due to the rising trend of outward foreign direct investment (FDI) undct1akcl1 by them via foreign acquisitions. Using quantitative methods of data analysis on foreign acquisitions undertaken by Indian MNEs, between 2000 and 2007, and the Ownership-Location-Internalisation (OLl) and Linkage-Leverage-Learning (LLL) frameworks from international business literature, this thesis explores the determinants of outward FDI undertaken by Indian MNEs through acquisitions. It finds that both the OLI and the LLL frameworks explain different facets of internationalisation behaviour of Indian MNEs. It also examines the complementarity between these frameworks and finds that the OLI and LLL frameworks do not compete but rather complement each other. This complementarity among tenets underlying the frameworks is found at country- and firm-level units of analysis. This thesis makes academic and practical contributions. Academically, the thesis makes empirical and theoretical contributions by testing and extending the OLI-and LLL frameworks. Practically, it provides guidance to managers in devising internationalisation strategies and to regulators for formulating policies that are coherent with the internationalisation strategies of the firm.

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McLaggan, Martyn Scott. "Novel fire testing frameworks for Phase Change Materials and hemp-lime insulation." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/15896.

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Modern buildings increasingly include the usage of innovative materials aimed at improving sustainability and reducing the carbon footprint of the built environment. Phase Change Materials (PCMs) are one such group of novel materials which reduce building energy consumption. These materials are typically flammable and contained within wall linings yet there has been no detailed assessment of their fire performance. Current standard fire test methods provide means to compare similar materials but do not deliver knowledge on how they would behave in the event of a real fire. Thus, the aim of this thesis is to develop a novel testing framework to assess the behaviour of these materials in realistic fire scenarios. For PCMs, a flammability study is conducted in the bench-scale cone calorimeter to evaluate the fire risk associated with these materials. Then, micro-scale Thermogravimetric Analysis (TGA) is used to identify the fundamental chemical reactions to be able to confidently interpret the flammability results. Finally, intermediate-scale standard fire tests are conducted to evaluate the applicability of the bench-scale results to realistic fire scenarios. These take the form of modified Lateral Ignition and Flame spread Test (LIFT) and Single Burning Item (SBI) tests to understand flame spread and compartment fires respectively. Finally, a simplified method to combine this knowledge for use in building design is proposed. This method allows the balancing of potential energy benefits with quantified fire performance to achieve the specified goals of the designer. Hemp-lime insulation is a material which has also becoming increasingly popular in the drive towards sustainability. The porous nature of the material means that smouldering combustions are the dominant reaction mode but there is currently no standardised test method for this type of behaviour. Thus, hemp-lime materials also represent an unquantified risk. The work in this thesis defines a simple, accessible and economically viable bench-scale method for quantifying the fire risk associated with rigid porous materials. This is applicable for both downward opposed flow and upward forward flow smoulder propagation conditions. The behaviour is then interpreted using micro-scale thermogravimetric analysis to understand the underlying pyrolysis and oxidation reactions. Designers can utilise this framework to quantify the smouldering risk associated with hemp-lime materials to enable their usage in the built environment. The holistic fire risk assessment performed in this thesis has quantified the behaviour of PCMs and hemp-lime insulation applicable to realistic fire scenarios. The simplified design method empowers designers to be able to realise innovative buildings through fundamental understanding of the fire behaviour of these materials. The outcomes of this thesis allow designers to mitigate the fire risk associated with these materials and achieve optimised engineering solutions. Furthermore, the novel fire testing frameworks provide the economically viable means to assess the fire performance of future PCMs and hemp-lime products which ensures lasting relevance of this research in the future.

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Söderlund, Sverker. "Performance of REST applications : Performance of REST applications in four different frameworks." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-64841.

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More and more companies use a REST architecture to implement applications for an easy to use API. One important quality attribute of an application is the performance. To be able to understand how the application will perform it is important to know how the selected framework perform. By testing the performance of different frameworks it will become easier for software developers to choose the right framework to achieve their requirements and goals. At the time when this paper was written the research in this area was limited. This paper answered the question of which framework between Express, .NET Core, Spring and Flask that had the best performance. To be able to know how frameworks performed the author needed to measure them. One way of measuring performance is with response time from the server. The author used a controlled experiment to collect raw data from which the results was drawn. The author found out that Spring had the best overall performance between the different categories. By analysing the results the author also found out that performance differed a lot between the frameworks in some categories.

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Bocken, Nancy Maria Petronella. "Reducing CO₂ emissions associated with fast moving consumer goods : development and testing of tools and frameworks." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610070.

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Baktha, Kishore. "Evaluating the Performance and Capabilities of Popular Android Mobile Application Testing Automation Frameworks in Agile/ DevOps Environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281984.

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The number of mobile applications has increased tremendously over the last decade, thereby also having increased the importance of mobile application testing. Testing is a very crucial process in the development of a mobile application to ensure reliability and proper functionality. In an Agile/DevOps environment, test automation is an integral part in order to support the continuous integration and continuous delivery/deployment principle. There is a plethora of mobile application testing automation frameworks available in the market today. Android testing frameworks were chosen for this study because of the prevalence of Android applications in the market today. The focus of this study is the comparison of the most popular mobile application testing automation frameworks in terms of performance and capabilities in an Agile/DevOps environment. In order to achieve this, firstly, the three most popular mobile application testing automation frameworks to be used for the study were identified. Secondly, the Key Performance Indicators and capabilities to be used for comparison of the frameworks were identified. Then, test cases in a complex mobile application were designed for analysing the frameworks based on the criteria gathered. Finally, the test cases were integrated in a Continuous Integration/ Continuous Delivery pipeline to gather results and perform a more detailed comparison in an Agile/DevOps environment. From this study, Espresso turned out to be the best framework in terms of KPI analysed beating the other frameworks in all the KPIs, while Robotium was second best followed by Appium. But on the other hand, Appium was the best framework in terms of capabilities by having ability to execute the maximum number of capabilities analysed followed by Robotium while Espresso was the worst framework in this criteria.<br>Antalet mobilapplikationer har ökat enormt under det senaste decenniet och därmed har även vikten av mobilapplikationstest ökat. Testning är en mycket viktig process i utvecklingen av en mobilapplikation för att säkerställa tillförlitlighet och korrekt funktionalitet. I en Agile/DevOps miljö är testautomation en viktig del för att stödja principen av kontinuerlig integration och kontinuerlig leverans/driftsättning. Det finns en mängd ramverk för automatiserad testning av mobilapplikationer på marknaden idag. Testramverk för Android valdes för denna studie på grund av utbredningen av Android-applikationer på marknaden idag. Fokus för denna studie är jämförelsen av de mest populära automatiserade testramverk för mobilapplikationer med avseende på prestanda och lämplighet i en Agile/DevOps miljö. För att uppnå detta, identifierades först de tre mest populära automatiserade testramverk för mobilapplikationer som skulle användas för studien. Sedan identifierades de viktigaste resultatindikatorerna och kapaciteterna som skulle användas för att jämföra ramverken. Därefter designades testfall i en komplex mobilapplikation för att analysera ramverken baserat på de bestämda kriterierna. Slutligen integrerades testfallen i en pipeline för kontinuerlig integration /kontinuerlig leverans för att samla resultat och utföra en mer detaljerad jämförelse i en Agile/DevOps miljö. Från denna studie visade sig Espresso vara det bästa ramverket när det gäller KPI-analys, som slog de andra ramarna i alla KPI: er, medan Robotium var näst bäst följt av Appium. Men å andra sidan var Appium det bästa ramverket med avseende på kapacitet. Den hade förmågan att utföra det maximala antalet kapacitet som analyserades, följt av Robotium medan Espresso var det sämsta ramverket i dessa kriterier.

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VERTUCCI, VINCENZO. "Frameworks and veneering materials in posterior dental arches rehabilitation, a bio-faithful mechanical simulation: a post-testing analysis." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2016. http://hdl.handle.net/2108/201720.

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Fayyaz, Ali Raza, and Madiha Munir. "Performance Evaluation of PHP Frameworks (CakePHP and CodeIgniter) in relation to the Object-Relational Mapping, with respect to Load Testing." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4116.

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Context: Information technology is playing an important role in creating innovation in business. Due to increase in demand of information technology, web development has become an important field. PHP is an open source language, which is widely used in web development. PHP is used to develop dynamic web pages and it has the ability to connect with database. PHP has some good features i.e. cross platform compatibility, scalability, efficient execution and is an open source technology. These features make it a good choice for developers to choose PHP for web development. The maintenance of an application becomes difficult and performance being considerably reduced, if PHP is to be used without using its frameworks. To resolve these issues, different frameworks have been introduced by web development communities on the internet. These frameworks are based on Model, View, Controller design pattern. These frameworks provide, different common functionalities and classes in the form of helpers, components, and plug-in to reduce the development time. Due to these features like robustness, scalability, maintainability and performance, these frameworks are mostly used for web development in PHP, with performance being considered the most important factor. Objectives:The objective of this thesis is to compare and analyze the affect of data abstraction layer (ORM) on the performance of two PHP frameworks. These two frameworks are CakePHP and CodeIgniter. CAKEPHP has built-in support of object-relational mapping (ORM) but CodeIgniter has no built-in support of object-relational mapping (ORM). We considered load testing and stress testing to measure the performance of these two frameworks. Methods: We performed the experiment to show the performance of CakePHP (with ORM) and CodeIgniter (no ORM) frameworks. We developed two applications in both the PHP frameworks, with the same scope and design and measured the performance of these applications, with respect to load testing, with automated testing tool. The results have been obtained by testing the performance of both the applications on local and live servers. Conclusions:After analyzing the results we concluded that CodeIgniter is useful for small and medium sized applications. But CAKEPHP is good for large and enterprise level applications, as in stress conditions the CAKEPHP performed better than CodeIgniter on both local and live environment.

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Cagnin, Maria Istela. ""PARFAIT: uma contribuição para a reengenharia de software baseada em linguagens de padrões e frameworks"." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08092005-152316/.

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A necessidade de evolução de sistemas legados tem aumentado significativamente com o surgimento de novas tecnologias. Para apoiar essa tendência, diversos métodos de reengenharia têm sido propostos. No entanto, poucos possuem apoio computacional efetivo, alguns utilizam padrões de projeto ou padrões específicos de reengenharia, e nenhum utiliza framework baseado em linguagem de padrões. Este trabalho está inserido no domínio de Sistemas de Informação. Propõe a elaboração de um arcabouço de reengenharia ágil baseado em framework, que realiza a engenharia reversa do sistema legado com o apoio de linguagem de padrões de análise, fornecendo entendimento e documentação necessários para instanciar o framework. O entendimento do sistema legado também é apoiado pela sua execução, por meio de casos de teste. Esses casos de teste são utilizados posteriormente para validar o sistema alvo. O framework, cuja construção é baseada em linguagem de padrões, é utilizado para obter o projeto e a implementação do sistema alvo. Para permitir a reengenharia com o apoio do arcabouço definido, um processo ágil de reengenharia foi criado. Como no desenvolvimento de software, grande parte do tempo da reengenharia é despendido com atividades de VV&T. Para minimizar esse problema, uma abordagem de reúso de teste é proposta. Essa abordagem agrega recursos de teste aos padrões da linguagem de padrões de análise, permitindo o reúso, não somente das soluções de análise, como também dos recursos de testes associados. O uso de framework na reengenharia de software colabora para a sua evolução, pois o domínio ao qual pertence pode evoluir, já que nem todos os requisitos do domínio do framework podem ter sido elicitados durante o seu desenvolvimento. Assim, nesta tese é proposto também um processo de evolução de frameworks de aplicação. Os processos e a abordagem propostos são associados ao arcabouço definido para apoiar sua efetividade. Além disso, para avaliar o processo ágil de reengenharia, que fornece reúso em diversos níveis de abstração, um pacote de experimentação também é parcialmente definido. Estudos de caso e exemplos de uso foram conduzidos com os produtos definidos. Ressalta-se que outros estudos devem ser conduzidos para permitir a determinação de resultados com significância estatística.<br>The need to evolve legacy systems has increased significantly with the advent of new technologies. To support this tendency, several reengineering methods have been proposed. However, few have effective computing support, some use design patterns or reengineering specific patterns and none use pattern language-based frameworks. This thesis's theme belongs to the Information Systems domain. An agile framework based reengineering infrastructure is proposed for the legacy system reverse engineering with the support of an analysis pattern language; also provided the understanding and documentation necessary for framework instantiation. The legacy system understanding is also supported by its execution with test cases. These are also subsequently used to validate the target system. The framework, whose construction is based on the analysis pattern language, is used to obtain the target system design and implementation. To allow the reengineering with the infrastructure support, an agile reengineering process has been created. As in software development, a large portion of the reengineering time is spent with VV&T activities. To minimize this problem, a testing reuse approach is proposed in this thesis. This approach aggregates test resources to the patterns of the analysis pattern language allowing reuse, not only of the analysis solutions, but also of the associated test resources. The framework used in software reengineering contributes to its evolution, as the domain to which they belong may evolve, and some of the framework domain requirements might not have been elicited during its development. Thus, in this thesis, a process for application framework evolution is also proposed. The processes and the approach are associated to the infrastructure defined to support its effectiveness. Furthermore, to evaluate the agile reengineering process that provides reuse at several abstraction levels, an experimentation package is also partially defined. Case studies and examples of use have been conducted with the products defined. We stress that other studies have to be done to enable the determination of results with statistical significance.

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Books on the topic "TESTING FRAMEWORKS"

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S, Mullis Ina V., ed. TIMSS assessment frameworks and specifications 2003. 2nd ed. International Study Center, Lynch School of Education, Boston College, 2003.

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Mullis, Ina V. S. TIMSS assessment frameworks and specifications 2003. International Study Center, Lynch School of Education, Boston College, 2001.

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James, St Pierre, and National Institute of Standards and Technology (U.S.), eds. Conformance testing object-oriented frameworks using JAVA. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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James, St Pierre, and National Institute of Standards and Technology (U.S.), eds. Conformance testing object-oriented frameworks using JAVA. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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St. Pierre, James A. 1960- and National Institute of Standards and Technology (U.S.), eds. Conformance testing object-oriented frameworks using JAVA. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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Alsmadi, Izzat. Advanced automated software testing: Frameworks for refined practice. Information Science Reference, 2012.

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Howard, Gardner, Feldman David Henry, Krechevsky Mara, Chen Jie-Qi, and Harvard Project Zero, eds. Project Zero frameworks for early childhood education. Teachers College Press, 1998.

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Berninger, Virginia Wise. Interdisciplinary Frameworks for Schools: Best Professional Practices for Serving the Needs of All Students. American Psychological Association, 2015.

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Great Britain. Scottish Education Department. The framework for national testing in 1991. The Department, 1990.

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Hudson, Thom. A framework for testing cross-cultural pragmatics. Second Language Teaching & Curriculum Center, University of Hawaii at Manoa, 1992.

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Book chapters on the topic "TESTING FRAMEWORKS"

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Jain, Jagdeep. "Tools, Frameworks, and Libraries." In Learn API Testing. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8142-0_4.

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Todorov, Alexander. "Blockchain Development Frameworks." In Testing the Creditcoin Blockchain. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0873-9_2.

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Hagar, Jon Duncan. "IoT Test Design: Frameworks, Techniques, Attacks, Patterns, and Tours." In IoT System Testing. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8276-2_10.

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Herdzik, Arkadiusz, and Carl James-Reynolds. "Developing Testing Frameworks for AI Cameras." In Artificial Intelligence XXXIX. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21441-7_28.

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Goundar, Prashneel Ravisan. "Historical Overview of Language Testing Frameworks." In English Language-Mediated Settings and Educational Inequalities. Routledge, 2025. https://doi.org/10.4324/9781003479147-3.

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Eslami Abyane, Amin, and Hadi Hemmati. "Robustness Analysis of Deep Learning Frameworks on Mobile Platforms." In Testing Software and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04673-5_13.

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Harsch, Claudia, and Margaret E. Malone. "Language Proficiency Frameworks and Scales." In The Routledge Handbook of Second Language Acquisition and Language Testing. Routledge, 2020. http://dx.doi.org/10.4324/9781351034784-5.

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Kim, Haeng-Kon, and Roger Y. Lee. "A Testing Frameworks for Mobile Embedded Systems Using MDA." In Software Engineering Research,Management and Applications 2011. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23202-2_6.

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Wills, Thomas A., and Sean D. Cleary. "Testing Theoretical Models and Frameworks in Child Health Research." In Issues in Clinical Child Psychology. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4165-3_2.

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Mawlood-Yunis, Abdul-Rahman. "Debugging and Testing Using Junit, Espresso, and Mockito Frameworks." In Android for Java Programmers. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87459-9_4.

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Conference papers on the topic "TESTING FRAMEWORKS"

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Ramdass, Karthikeyan, Arun Mulka, Nitin Agarwal, Sugeetha Avvaru, Gopal Kumar Gupta, and Sansar Singh Chauhan. "Scalable Performance Testing for Distributed Big Data Frameworks." In 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT). IEEE, 2025. https://doi.org/10.1109/ce2ct64011.2025.10939442.

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Herner, Reed, Alexander Pingel, Jaycie Hall, Jim Werner, and Lindsey Holmes. "Hazards Analysis Frameworks for Nuclear Thermal Propulsion Ground Testing." In Nuclear and Emerging Technologies for Space (NETS 2024). American Nuclear Society, 2024. http://dx.doi.org/10.13182/nets24-43946.

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Li, Hanqing, Xiang Li, Yuanping Nie, and Jianwen Tian. "A Survey of Security Testing Techniques for Deep Learning Frameworks." In 2024 9th International Conference on Signal and Image Processing (ICSIP). IEEE, 2024. http://dx.doi.org/10.1109/icsip61881.2024.10671492.

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Donvir, Anujkumarsinh, and Gaurav Sharma. "Ethical Challenges and Frameworks in AI-Driven Software Development and Testing." In 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2025. https://doi.org/10.1109/ccwc62904.2025.10903892.

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Li, Hanqing, Xiang Li, Yuanping Nie, Suiyuan Du, and Qiong Wu. "DKFuzz: An Automated Approach for Testing the Underlying Kernels of Deep Learning Frameworks." In 2025 2nd International Conference on Algorithms, Software Engineering and Network Security (ASENS). IEEE, 2025. https://doi.org/10.1109/asens64990.2025.11011223.

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Ileana, Marian, and Maria Miroiu. "Intelligent Automated Testing Frameworks for IoT Networks Utilizing Machine Learning for Advanced Anomaly Detection." In 2024 International Conference Automatics and Informatics (ICAI). IEEE, 2024. https://doi.org/10.1109/icai63388.2024.10851706.

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Donvir, Anujkumarsinh. "A Comparative Analysis of JavaScript Unit and End-to-End Testing Frameworks: Enhancing Quality Assurance in Modern Web Applications." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847365.

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Noonan, Robert E., and Richard H. Prosl. "Unit testing frameworks." In the 33rd SIGCSE technical symposium. ACM Press, 2002. http://dx.doi.org/10.1145/563340.563429.

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Singh, Mohpreet, and Rishav Singh. "Load Testing of web frameworks." In 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2012. http://dx.doi.org/10.1109/pdgc.2012.6449887.

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"TEST FRAMEWORKS FOR ELUSIVE BUG TESTING." In 2nd International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001331102500257.

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Reports on the topic "TESTING FRAMEWORKS"

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Nederveld, Sadie, and Berkelly Gonzalez. Analyzing Frameworks for HPC Systems Regression Testing. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1647192.

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Brady, Kevin G., and James St Pierre. Conformance testing object-oriented frameworks using JAVA. National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6202.

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Aiken, Catherine. Classifying AI Systems. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200025.

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This brief explores the development and testing of artificial intelligence system classification frameworks intended to distill AI systems into concise, comparable and policy-relevant dimensions. Comparing more than 1,800 system classifications, it points to several factors that increase the utility of a framework for human classification of AI systems and enable AI system management, risk assessment and governance.

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Agarwal, Smisha, Madhu Jalan, Holly C. Wilcox, et al. Evaluation of Mental Health Mobile Applications. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepctb41.

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Background. Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to traditionally underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections. Purpose. This Technical Brief proposes a framework to assess mental health mobile applications with the aim to facilitate selection of apps. The results of applying the framework will yield summary statements on the strengths and limitations of the apps and are intended for use by providers and patients/caregivers. Methods. We reviewed systematic reviews of mental health apps and reviewed published and gray literature on mental health app frameworks, and we conducted four Key Informant group discussions to identify gaps in existing mental health frameworks and key framework criteria. These reviews and discussions informed the development of a draft framework to assess mental health apps. Iterative testing and refinement of the framework was done in seven successive rounds through double application of the framework to a total of 45 apps. Items in the framework with an interrater reliability under 90 percent were discussed among the evaluation team for revisions of the framework or guidance. Findings. Our review of the existing frameworks identified gaps in the assessment of risks that users may face from apps, such as privacy and security disclosures and regulatory safeguards to protect the users. Key Informant discussions identified priority criteria to include in the framework, including safety and efficacy of mental health apps. We developed the Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness and it comprises three sections: Section 1. Risks and Mitigation Strategies, assesses the integrity and risk profile of the app; Section 2. Function, focuses on descriptive aspects related to accessibility, costs, organizational credibility, evidence and clinical foundation, privacy/security, usability, functions for remote monitoring of the user, access to crisis services, and artificial intelligence (AI); and Section 3. Mental Health App Features, focuses on specific mental health app features, such as journaling and mood tracking. Conclusion. FASTER may be used to help appraise and select mental health mobile apps. Future application, testing, and refinements may be required to determine the framework’s suitability and reliability across multiple mental health conditions, as well as to account for the rapidly expanding applications of AI, gamification, and other new technology approaches.

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Zyphur, Michael. Instrumental Variable Analysis Using Mplus. Instats Inc., 2022. http://dx.doi.org/10.61700/vr95hvyzh3cux469.

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This seminar introduces estimating causal effects with observational data using instrumental variables in Mplus, both within a path analysitic and SEM framework. Basic introductions are first provided for path analysis and CFA, before describing instrumental variable methods in both observed- and latent-variable frameworks. Traditional bootstrapping and Bayesian methods are explored for estimation and hypothesis testing. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.

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Miller, Thomas. Testing the applicability and potential impact of rigorous quantum embedding methods for the study and characterization of metal organic frameworks. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1322167.

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Karasek, T., S. Böhm, B. Keith, et al. D4.3 Benchmarking report as tested on the available infrastructure. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.012.

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The main focus of this deliverable is testing and benchmarking the available infrastructure using the execution frameworks PyCOMPSs and HyperLoom. A selected benchmark employing the Multi Level Monte Carlo (MLMC) algorithm was run on two systems: TIER-0 (MareNostrum4) and TIER-1 (Salomon) supercomputers. In both systems, good performance scalability was achieved.

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Alach, Zhivan. Grounding Practice in Theory: The Development of a Literature-based Performance Framework in New Zealand Local Government. Unitec ePress, 2016. http://dx.doi.org/10.34074/ocds.058.

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Performance measurement is a subject of some importance within the public sector. This study examines the design and development of a performance measurement framework within a local government department. It used a narrative case study approach to follow the process used by the design team involved. The design team began by examining the performance literature at a number of levels, and from this distilled eight design principles, from which they built a performance measurement framework. The design team encountered a number of challenges during this process; challenges they expected based on the literature. From the experiences of the design team, a number of hypotheses suitable for further testing have been derived. This study provides useful advice for performance measurement professionals within the public sector in developing frameworks grounded in theory, whether at the central or local government level.

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De Rosa, Gustavo Alberto, Søren Elbech, Ian MacDonald, and Alessandro Macri. Callable Capital of the Inter-American Development Bank: A Report based on the MDB-wide Review of Callable Capital. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0005553.

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This report presents the Inter-American Development Banks (IDB) results of the Review of Callable Capital exercise, initiated by a group of Multilateral Development Bank (MDB) shareholders, to support efforts related to the G20 Independent Review of Multilateral Development Banks (MDB) Capital Adequacy Frameworks (“G20 CAF Report”). The report confirms that Callable Capital at IDB is legally valid and binding and could be activated by Executive Directors. Some shareholders have mechanisms in place to carry out a call on callable capital on short notice, and others have accelerated processes that could be activated. A call on callable capital remains a highly remote scenario, as confirmed by the reverse stress testing exercise, in line with the Banks solid financial policy framework.

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Goodwin, Sarah, Yigal Attali, Geoffrey LaFlair, et al. Duolingo English Test - Writing Construct. Duolingo, 2023. http://dx.doi.org/10.46999/arxn5612.

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Assessments, especially those used for high-stakes decision making, draw on evidence-based frameworks. Such frameworks inform every aspect of the testing process, from development to results reporting. The frameworks that language assessment professionals use draw on theory in language learning, assessment design, and measurement and psychometrics in order to provide underpinnings for the evaluation of language skills including speaking, writing, reading, and listening. This paper focuses on the construct, or underlying trait, of writing ability. The paper conceptualizes the writing construct for the Duolingo English Test, a digital-first assessment. “Digital-first” includes technology such as artificial intelligence (AI) and machine learning, with human expert involvement, throughout all item development, test scoring, and security processes. This work is situated in the Burstein et al. (2022) theoretical ecosystem for digital-first assessment, the first representation of its kind that incorporates design, validation/measurement, and security all situated directly in assessment practices that are digital first. The paper first provides background information about the Duolingo English Test and then defines the writing construct, including the purposes for writing. It also introduces principles underpinning the design of writing items and illustrates sample items that assess the writing construct.

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