Gotowe bibliografie tematyczne / Manual testing Integration with CI/CD pipelines

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Gotowa bibliografia na temat „Manual testing Integration with CI/CD pipelines”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Manual testing Integration with CI/CD pipelines"

Singh, Nikhil. "CI/CD Pipeline for Web Applications." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5218–26. http://dx.doi.org/10.22214/ijraset.2023.52867.

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Abstract: Modern organisation’s rapid pace of software development necessitates teams delivering high-quality software products faster than ever before. In order to accomplish this, software development teams are incorporating continuous integration and continuous deployment (CI/CD) methodologies into their software development processes. CI/CD pipelines are a set of practises and tools that allow teams to efficiently and reliably automate the development, testing, and deployment of software products. CI/CD pipelines have become an essential tool for teams delivering web applications at a fast

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Baladari, Venkata. "End-to-End CI/CD Deployment of RESTful Microservices in the Cloud." International Journal of Core Engineering and Management 6, no. 8 (2020): 262–68. https://doi.org/10.5281/zenodo.15020514.

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Implementing RESTful microservices across various cloud platforms necessitates automation to guarantee consistency, security, and scalability. Continuous Integration/Continuous Deployment (CI/CD) pipelines optimize the integration, testing, and deployment of services, thereby minimizing manual intervention and operational risks. This study introduces a comprehensive framework for fully automated CI/CD processes, integrating Infrastructure as Code (IaC), security protocols, and monitoring software solutions. The proposal tackles crucial issues like multi-cloud compatibility, vendor lock-in, and

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Singh, Chandra Prakash. "The Role of RPA in Transforming DevOps: Driving CI/CD Efficiency and Beyond." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–6. https://doi.org/10.55041/ijsrem8160.

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The COVID-19 pandemic has profoundly reshaped the global business environment, compelling organizations to accelerate their digital transformation journeys. Remote work has become the standard, fueling an unprecedented demand for swift and dependable software delivery. This white paper delves into how Robotic Process Automation (RPA) can revolutionize DevOps practices, particularly through the automation of Continuous Integration and Continuous Deployment (CI/CD) pipelines. By integrating RPA, organizations can eliminate manual bottlenecks, enhance accuracy, and scale their software delivery p

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Divya Kodi. "Efficient CI/CD Strategies: Integrating Git with automated testing and deployment." World Journal of Advanced Research and Reviews 20, no. 2 (2023): 1517–30. https://doi.org/10.30574/wjarr.2023.20.2.2363.

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Continuous Integration( CI) and Continuous Deployment (CD) allow prompt delivery of quality software with lesser disruption between development teams. With this simple yet effective Process, Git is a superb tool; the utility combination of Git with some YAML CI/CD templates makes us a better CI/CD pipeline. Keywords: Continuous integration and delivery, Continuous integration and delivery with Git, Automated testing and deployment, Lean continuous integration and delivery, Agile software development 1. Introduction Continuous Integration (CI) and Continuous Delivery (CD) are two of the most vi

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Omoniyi Babatunde Johnson, Jeremiah Olamijuwon, Zein Samira, Olajide Soji Osundare, and Harrison Oke Ekpobimi. "Developing advanced CI/CD pipeline models for Java and Python applications: A blueprint for accelerated release cycles." Computer Science & IT Research Journal 5, no. 12 (2024): 2645–63. https://doi.org/10.51594/csitrj.v5i12.1758.

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In the fast-paced world of software development, Continuous Integration (CI) and Continuous Deployment (CD) pipelines have become essential for achieving rapid, reliable, and automated release cycles. This review presents a blueprint for developing advanced CI/CD pipeline models tailored specifically for Java and Python applications, two of the most widely used programming languages in enterprise environments. The goal is to streamline software delivery, reduce manual intervention, and enhance overall system resilience. The proposed framework includes leveraging modern CI/CD tools, such as Jen

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Sachin, R. Doddaguni, R. Rohith, Asif S. Salman, and M. N. Manas. "Understanding SDLC using CI/CD pipeline." International Journal of Soft Computing and Engineering (IJSCE) 9, no. 6 (2020): 22–25. https://doi.org/10.35940/ijsce.F3405.059620.

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Development of complex and quality software necessitates the use of a development model, so that the development process is efficient, reliable and faster. Software development life cycle (SDLC) is a well-defined and wellorganized process used to plan, develop, deploy and maintain high quality software systems. DevOps is one recent addition to SDLC that ensures that the development and operations team collaborate to accelerate the deployment and delivery of higher quality software products. This paper throws a light on how development processes are accelerated using DevOps tactics like continu

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Praveen, Kumar Koppanati. "Automating API Testing for Java Applications with GitLab CI/CD." European Journal of Advances in Engineering and Technology 7, no. 6 (2020): 91–95. https://doi.org/10.5281/zenodo.14045033.

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Automation has steadily become a critical aspect of software development in recent years. Continuous integration and deployment are vital components in making software development workflows more manageable. One of the most popular CI/CD tools that has proven to be versatile and integrable with every programming language and platform available is GitLab. The most crucial benefit of automating Application Programming Interface in Java applications is the ability to generate quicker feedback, improve code quality and escape manual testing. This paper addresses the approaches and best practices wh

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Patole, Chinmay B., Ayush Sankhe, Sohan Patil, Nihar R. Patil, and Dr Suvarna Pansambal. "AWS TECHNOLOGY: The Ultimate CI/CD Devops Pipeline Technology with the Help of Jenkins." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–7. https://doi.org/10.55041/ijsrem43934.

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A CI/CD pipeline is an automated framework that coordinating, tests, and conveys code changes ceaselessly, allowing for quicker and more solid updates to applications. A Continuous Integration/Continuous Deployment (CI/CD) pipeline utilizing Jenkins, is popular open-source mechanization server. The pipeline will automate the build, test, and arrangement of computer program applications, guaranteeing speedier time to- market, progressed quality, and diminished manual exertion. Automated testing and reporting are moreover executed, enabling high-quality program discharges and recognizing abandon

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Praveen, Kumar Koppanati. "Implementing Dynamic Environments with GitLab CI/CD." European Journal of Advances in Engineering and Technology 9, no. 12 (2022): 175–79. https://doi.org/10.5281/zenodo.13912547.

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Dynamic environments have become essential in modern software development, allowing developers to test, stage, and deploy applications in a reliable, repeatable, and isolated manner. GitLab CI/CD offers a robust framework to build, deploy, and manage dynamic environments that scale with the needs of both small and large development teams. This paper explores the implementation of dynamic environments using GitLab CI/CD, discussing key practices, the architecture of GitLab's Continuous Integration and Continuous Deployment (CI/CD) pipeline, and methodologies for automating testing, deployment,

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Karthik Ravva. "Automated compliance verification for AI models in enterprise Cloud MLOps Pipelines." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 1035–42. https://doi.org/10.30574/wjarr.2025.26.3.2167.

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Ensuring that AI models used in business intelligence systems comply with regulations represents a critical governance challenge as rapid development cycles enabled by MLOps on cloud platforms accelerate model deployment. Manual verification processes prove slow, error-prone, and unscalable in this environment. This article explores techniques and frameworks for automating compliance verification directly within cloud-based MLOps pipelines, investigating the integration of automated checks for fairness, explainability, privacy protection, and robustness testing. The integration of these verifi

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Rozprawy doktorskie na temat "Manual testing Integration with CI/CD pipelines"

Baldassarri, Marco. "Sviluppo di un progetto di UI automation testing con approccio BDD e gestione delle CI/CD pipelines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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L’azienda multinazionale Travelport Digital Ltd è una software house americana focalizzata sulle travel agencies che ha come obiettivo principale quello di semplificare la complessa industria dei trasporti e del turismo, fornendo servizi dedicati ai viaggiatori e ad organizzazioni terze. Il tirocinio di sei mesi presso la filiale di Dublino è stato speso lavorando in un Agile team e rivestendo il ruolo di Quality Assurance Engineer della componente Web frontend di un applicativo che aiuta le aziende a trovare le migliori opzioni di viaggio facendo scraping di voli, hotel, treni ed auto a no

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Części książek na temat "Manual testing Integration with CI/CD pipelines"

van Merode, Henry. "Testing Pipelines." In Continuous Integration (CI) and Continuous Delivery (CD). Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9228-0_6.

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Ramadugu, Gangadhararamachary. "Leveraging AI for Continuous Integration and Delivery Enhancing Developer Productivity in Smart Education and Sustainable Learning." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7723-9.ch017.

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Continuous Integration and Continuous Delivery (CI/CD) practices are crucial for enhancing developer productivity and ensuring seamless software development in smart education and sustainable learning environments. Leveraging Artificial Intelligence (AI) within CI/CD pipelines introduces automation, predictive analysis, and intelligent monitoring, reducing manual intervention and accelerating the development cycle. This chapter explores how AI-driven CI/CD enhances the efficiency of software delivery in education technology (EdTech) systems. It covers AI's role in automating testing, debugging

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Singh, Pranav, Nirdesh Tanwar, Nitin Singh, and Sachin Sharma. "AI-Driven Continuous Integration." In Advances in Public Policy and Administration. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-8069-7.ch002.

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The integration of AI-driven solutions within Continuous Integration and Delivery (CI/CD) pipelines has transformed software development practices, offering enhanced automation, efficiency, and scalability. This paper explores how AI-powered CI/CD pipelines can significantly boost developer productivity, particularly in the context of blue-green infrastructure deployments and sustainable digital transformation initiatives. By automating code testing, deployment, monitoring, and decision-making processes, AI streamlines development cycles, minimizes errors, and ensures faster release times. The

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