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Journal articles on the topic 'Software Automation'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Pietschker, Andrej. "Automating test automation." International Journal on Software Tools for Technology Transfer 10, no. 4 (2008): 291–95. http://dx.doi.org/10.1007/s10009-008-0076-z.

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Priti, B. Kudal. "Software Automation using Robotic Process Automation." Research and Reviews: Advancement in Robotics 6, no. 3 (2023): 35–38. https://doi.org/10.5281/zenodo.8382281.

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<em>“Robots”, we heard and a Machine-Human comes in front of vision. Try seeing movies of Rajnikant sir based on Robots!! One video got viral in pandemic of robot taking tray of Sanitizer in shop. Yes that’s a hardware robot! Of course it does job of human and yes definitely which is programmed. It gives more relaxation to human as it does job of human. Think of employees who are doing clerical, repetitive administrative work on system. Set of action rather series is predefined and still that manpower is engaged here for monitory purpose. This is time consuming, error-prone. Here is solution, we can have software Robots!! Robotic process automation is a step by step undertaking that enables companies to automate routine, repetitive tasks and free their employees to focus on more fundamental ones</em>

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Green, Bradley S. "Software test automation." ACM SIGSOFT Software Engineering Notes 25, no. 3 (2000): 66. http://dx.doi.org/10.1145/505863.505892.

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4

Laplante, Phillip, Fevzi Belli, Jerry Gao, et al. "Software Test Automation." Advances in Software Engineering 2010 (February 17, 2010): 1–2. http://dx.doi.org/10.1155/2010/163746.

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Dongre, Anagha, and Abdullah Shaikh. "Automation Testing in Software Organization." International Journal of Science and Research (IJSR) 11, no. 7 (2022): 122–24. http://dx.doi.org/10.21275/sr22629212828.

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Kamala Aliyeva, Nihad Mehdiyev, Kamala Aliyeva, Nihad Mehdiyev. "SOFTWARE SELECTION FOR PROCESS AUTOMATION UNDER Z INFORMATION." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 148, no. 02 (2024): 59–66. http://dx.doi.org/10.36962/pahtei148022024-59.

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Choosing the right robotic process automation software for business requires careful consideration. Process automation software is becoming increasingly popular among businesses large and small due to its ability to automate routine repetitive tasks. It is designed to reduce errors and make tasks easier and faster, while also allowing employees to focus on more complex and more important work. From streamlining administrative processes to improving customer service, process automation offers a wide range of business benefits. For example, it can help automate back-office functions such as data entry, order processing, and customer service inquiries. This can help reduce the amount of time and resources required to complete these tasks, as well as improve accuracy and eliminate possible errors. In addition, process automation can help improve customer service by automating customer interaction processes such as inquiries and order processing. This can help speed up the process for customers, leading to increased customer satisfaction and loyalty. Process automation can also help businesses save money. By automating routine, repetitive tasks, businesses can reduce their labor costs as fewer employees are required to complete tasks. In addition, process automation can help reduce the amount of time and resources required to complete tasks, resulting in cost savings. When choosing process automation software, such key factors as possibilities of automation, scalability, safety should be considered. In this paper, these key factors are represented under Z- information for multi-criteria decision-making problem. Z- number theory is a very effective tool in great uncertainty conditions. If there are uncertainty conditions in problems solving process it is good using fuzzy logic [1-9]. Keywords: multi-criteria decision making, software selection, process automation, Z information.

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Singh, Joginder. "Library Automation and Software Packages for Libraries: A Study of the Library Automation Software Libsys7." Journal of Advances and Scholarly Researches in Allied Education 15, no. 5 (2018): 155–60. http://dx.doi.org/10.29070/15/57549.

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Mamoriya, Alka. "Open-Source Software and Proprietary Software for Library Automation." Journal of Advanced Research in Library and Information Science 08, no. 02 (2021): 1–3. http://dx.doi.org/10.24321/2395.2288.202101.

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By using library automation software the work gets done easily and quickly. There is no error in library housekeeping operation and solve many issues like stock verification, bibliography, OPAC search operation easily by library automation software. Open-source software is Open bibliog. library management software, KOHA, Avanti. Proprietary software is e-Granthalaya, SOUL, TLSS, and Libsys. By using any software handling library housekeeping and administrative work is very easy and reduces duplication. Many modules are available in software for library operation and each has its unique quality by which the work can be done easily.

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Mamoriya, Alka. "Open-Source Software and Proprietary Software for Library Automation." Journal of Advanced Research in Library and Information Science 08, no. 02 (2021): 1–3. http://dx.doi.org/10.24321/2395.2288.202101.

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By using library automation software the work gets done easily and quickly. There is no error in library housekeeping operation and solve many issues like stock verification, bibliography, OPAC search operation easily by library automation software. Open-source software is Open bibliog. library management software, KOHA, Avanti. Proprietary software is e-Granthalaya, SOUL, TLSS, and Libsys. By using any software handling library housekeeping and administrative work is very easy and reduces duplication. Many modules are available in software for library operation and each has its unique quality by which the work can be done easily.

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Mamoriya, Alka. "Open-Source Software and Proprietary Software for Library Automation." Journal of Advanced Research in Library and Information Science 08, no. 02 (2021): 1–3. http://dx.doi.org/10.24321/2395.2288.202101.

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By using library automation software the work gets done easily and quickly. There is no error in library housekeeping operation and solve many issues like stock verification, bibliography, OPAC search operation easily by library automation software. Open-source software is Open bibliog. library management software, KOHA, Avanti. Proprietary software is e-Granthalaya, SOUL, TLSS, and Libsys. By using any software handling library housekeeping and administrative work is very easy and reduces duplication. Many modules are available in software for library operation and each has its unique quality by which the work can be done easily.

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Bagaeva, Anna, Yuri Danilchenko, Alena Stupina, Anna Glinscaya, and Natalya Fedorova. "Application software for business process automation." E3S Web of Conferences 431 (2023): 05029. http://dx.doi.org/10.1051/e3sconf/202343105029.

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The article explores the use of software for automating business processes. In today's market, business process automation becomes a necessity, as it determines the number of services provided, which affects the amount of profit received by the organization. The article considers the essence and functionality of the application, and also considers the impact on various aspects of the organization's activities. Application software for business process automation is a strategic solution that helps businesses grow, increase competitiveness and help adapt to rapidly changing market conditions, as well as streamline workflows, increase efficiency and improve interaction with customers and partners.

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Ramakrishna, Manchana. "The DevOps Automation Imperative: Enhancing Software Lifecycle Efficiency and Collaboration." European Journal of Advances in Engineering and Technology 8, no. 7 (2021): 100–112. https://doi.org/10.5281/zenodo.13789734.

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The rapid pace of technological advancements and the increasing complexity of software systems demand a shift from traditional siloed development practices to a more agile and collaborative approach. DevOps, a cultural and technical movement emphasizing collaboration, automation, and continuous improvement, addresses these challenges. This paper explores end-to-end DevOps automation, highlighting its potential to streamline the entire software delivery lifecycle from code commit to production deployment. By automating key processes and fostering collaboration between development, operations, and security teams, DevOps automation empowers organizations to achieve faster time-to-market, improved software quality, and increased operational efficiency. The paper delves into the core principles of DevOps, essential components of the DevOps toolchain, benefits and challenges of automation, and real-world industry case studies showcasing the transformative power of end-to-end DevOps automation.

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Jazaa, Adid. "Toward better software automation." ACM SIGSOFT Software Engineering Notes 20, no. 1 (1995): 79–84. http://dx.doi.org/10.1145/225907.225918.

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Askari, ¹Mohd Ali. "DIGITAL BOUNCER – Automation Software." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35260.

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Digital Bouncer is an integrated platform for streamlined mass messaging and e-commerce, it’s a comprehensive platform designed to empower users with the ability to efficiently send a large volume of messages or emails to diverse audiences. The project comprises two integral components: a feature-rich e-commerce website and a specialized software for message/email dissemination. The website offers a user- friendly interface where individuals can tailor their messaging preferences and purchase related products. The features included are such as "Number Harbour" for getting a large number of number’s inn a particular location related to particular requirement and a dynamic "Chatbot" for enhanced user engagement and for an advanced automatic replier to messages . The synergistic integration of these components establishes Digital Bouncer as an innovative solution, catering to both the communication and e-commerce needs of users on a large scale. Index Terms – Secure communication ,Technology integration ,User-centric interface ,Digital marketing

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N, Sangeetha. "Improving Supply Chain Management Through Robotic Process Automation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem46564.

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Abstract The automation of tasks in supply chain management (SCM) is evolving rapidly; every segment of SCM is influenced by digital change and the necessity to become more agile, efficient, and adaptable. To regularly achieve strong performance, supply chain management (SCM) needs to concentrate on higher-value tasks that yield substantial outcomes. Automating routine, lower-value tasks is crucial for the ongoing effectiveness and sustainability of supply chain management (SCM) while also enhancing results. By utilizing software robots, errors arising from manual handling of SCM functions can be eliminated. These robots can prevent downtime by keeping a record of actions taken. Operating 24 hours a day, 7 days a week, software robots can be deployed swiftly as they function on the current systems already in use in SCM. Robotic Process Automation (RPA) can be easily trained by users to carry out repetitive structured activities that engage simultaneously with various computer systems. The article explores RPA's definition, its advantages in SCM, its implementation in SCM, along with an example of RPA's effectiveness in supply chain management. Keywords: Robotization of Business Processes1; Robotic Process Automation (RPA)2; Software Robots3; RPA in SCM4; RPA Solutions5; Intelligent Process Automation6; Informatic Solutions in SCM7

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Суханова, Наталия, Nataliya Sukhanova, Юрий Соломенцев, et al. "Automation software reliability assessment software for control systems." Bulletin of Bryansk state technical university 2015, no. 3 (2015): 157–60. http://dx.doi.org/10.12737/23018.

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Software is complex and expensive product. As to the automation systems are applied the high wants, included reliability of software. To realize projects in the field of automation of technolo-gy processes it is necessary to construct the new software and to improve, adapt and transfer existing software. The field of investigations and trial of software reliability was not automated yet, the instrumental tools are absent, witch can allow to estimate reliability indexes at all stages of software life cycle. In the article it is developed the structure of automation system for soft-ware reliability monitoring.

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Vorochek, Olga, and Illia Solovei. "RESEARCH ON ARTIFICIAL INTELLIGENCE TOOLS FOR AUTOMATING THE SOFTWARE TESTING PROCESS." Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no. 1 (11) (July 30, 2024): 58–64. http://dx.doi.org/10.20998/2079-0023.2024.01.09.

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The subject matter of the article is artificial intelligence (AI) tools for automating the software testing process. The rapid development of the software development industry in recent decades has led to a significant increase in competition in the IT technology market and, as a result, stricter requirements for corresponding products and services. AI-driven test automation is becoming increasingly relevant due to its ability to solve complex tasks that previously required significant human resources. The goal of the work is to investigate the possibilities of using AI technologies to automate manual testing processes, which will increase testing efficiency, reduce costs, and improve software quality. The following tasks were solved in the article: analysis of existing tools and approaches to test automation using AI; development of a conceptual model of a system that integrates AI into the testing process; exploring the potential of AI to automate various aspects of software testing, such as generating test scenarios, detecting defects, predicting errors, and automatically analyzing test results. The following methods are used: theoretical analysis of the literature and existing solutions in the field of test automation, experimental study of the effectiveness of the proposed test automation methods. The following results were obtained: the concept of a system that integrates AI technologies for automating software testing is presented. It has been found that the use of AI allows automating routine testing tasks, significantly reducing the number of human errors, and improving the quality of software products and the effectiveness of verification and validation processes. Conclusions: The development and implementation of AI-based testing automation systems are extremely relevant and promising. The use of AI technologies makes it possible to significantly increase the efficiency of testing, reduce the costs of its implementation, and improve the quality of software. The proposed approach to the development of an AI-based test automation system can be used as a basis for further research and development in this field.

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Chetan, Bhagwan Bhargude. "AI and Automation in Software Testing." International Journal of Advance and Applied Research S6, no. 23 (2025): 152–55. https://doi.org/10.5281/zenodo.15194927.

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<em>Software testing plays a crucial role in the software development lifecycle, ensuring that applications fulfill the necessary quality requirements and function as expected. As software systems become more complex, traditional manual testing methods are often inadequate in handling the volume and speed at which modern applications evolve. Automation and artificial intelligence (AI) have become game-changing technologies that have the potential to completely alter the software testing industry. This research paper investigates the use of AI in automating software testing, analyzing its potential benefits, challenges, and the evolving future of testing practices.</em>

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Boye, Harikiran, and Srinivas Venkata. "Automating DevOps for Continuous Delivery and Operational Excellence." FMDB Transactions on Sustainable Computing Systems 2, no. 1 (2024): 32–42. http://dx.doi.org/10.69888/ftscs.2024.000195.

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Integrating automation into DevOps practices has become crucial for achieving continuous delivery and operational excellence in software development. This research paper explores the methodologies and benefits of automating DevOps processes, focusing on how automation facilitates seamless collaboration, reduces errors, accelerates software delivery, and ensures consistent quality. The study discusses the implementation of automated pipelines, monitoring, and feedback mechanisms that enhance the efficiency of software deployment. Organizations can achieve faster release cycles, improve scalability, and maintain high availability by automating repetitive tasks and enabling real-time feedback loops. Various data sets were analyzed to support the findings, and tools such as Python, MATLAB, and MS Excel were utilized. Python was used for data analysis and visualization, particularly in generating graphs to illustrate trends in deployment frequency and failure rates. MATLAB was employed to create detailed architecture diagrams and mesh plots that depict the relationship between automation levels and deployment outcomes. MS Excel organized and presented numerical data in tables, comparing performance metrics in manual versus automated environments. Results from the study indicate that automation streamlines the software development lifecycle and fosters a culture of continuous improvement and innovation. The paper concludes by discussing the limitations of current automation technologies and suggesting future directions for enhancing DevOps automation.

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Soujanya, Reddy Annapareddy. "Real-World Applications of Python in Firmware and Software Automation." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 2 (2024): 1–6. https://doi.org/10.5281/zenodo.14540900.

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Python has become a versatile tool in firmware and software automation, enabling efficient development and testing workflows across various industries. Its simplicity, extensive libraries, and cross-platform support make it ideal for automating tasks like firmware flashing, version verification, and hardware communication. This paper explores real-world applications of Python in firmware and software automation, including integrating serial communication protocols, streamlining build and deployment processes, and implementing test frameworks for embedded systems. It highlights how Python's ecosystem enhances productivity by reducing manual intervention, improving error detection, and ensuring consistency in automation pipelines. Case studies from industries such as automotive, energy storage systems, and IoT illustrate Python's role in advancing firmware and software reliability.

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Paul Singh Sahni, Bhupinder. "The Role of Automation in Software Testing." International Journal of Science and Research (IJSR) 9, no. 10 (2020): 1794–96. http://dx.doi.org/10.21275/sr24531145414.

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Kudak, Viktor, and Vitaly Gerasimov. "SOFTWARE AUTOMATION OF GEOSYNCHRONOUS EARTH SATELLITE OBSERVATIONS." Measuring Equipment and Metrology 86 (2025): 51–54. https://doi.org/10.23939/istcmtm2025.01.051.

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Software automation of observations of geosynchronous Earth satellites is an important tool for effective monitoring of outer space. The program "Plan" presented in the work was created to automate the process of planning observations with the Takahashi BRC-250M telescope. The development is based on algorithms that take into account the visibility of satellites, the phase of the Moon, breaks between frames, as well as optimization of telescope movements to reduce observation time. The program integrates with the telescope via the TCP/IP protocol and generates text files of plans that are used for guidance. The use of such tools allows for accurate and systematic observations, and also contributes to effective resource management. A feature of the solution is support for updating TLE data to determine satellite coordinates and take into account the individual parameters of each object. This provides the ability to adapt to the specific needs of observing geostationary satellites.

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CAZAN, CRISTIAN-ALEXANDRU, and CONSTANTIN-VIOREL MARIAN. "AUTOMATION IMPROVEMENT FOR GIS-BASED APPLICATIONS DEPLOYMENT IN FAST GROWING HIGH SCALABILITY DATA-ROOMS." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 69, no. 3 (2024): 351–56. http://dx.doi.org/10.59277/rrst-ee.2024.69.3.16.

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This paper presents the viability and importance of automation in deploying and managing software systems to reduce costs. Automation allows for optimizing time spent on resource deployment and configuration and simplifying the upgrade process. A real-world geographic information system (GIS) project illustrates these improvements by automating WGS84 & STEREO70 conversion modules for software systems.

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Myrzakulova, A. N. "ПОДХОДЫ ВНЕДРЕНИЯ CHATGPT В ПРОЦЕСС АВТОМАТИЗАЦИИ ТЕСТИРОВАНИЯ ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ". INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES 4, № 2(14) (2024): 73–81. http://dx.doi.org/10.54309/ijict.2023.14.2.007.

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Automation of software testing is a crucial aspect of the software development process. It helps to improve the accuracy, speed, and efficiency of testing, and reduce the cost and effort associated with manual testing. With the advent of artificial intelligence (AI) and recently released Chat Generative Pre-trained Transformer (ChatGPT), new opportunities for automating software testing have emerged. The use of AI in software testing has the potential to revolutionize the quality assurance process, enabling organizations to deliver high-quality software to their customers. Along with implementing ChatGPT into an ad hoc testing process we can implement the following into CI/CD. This article aims to explore the potential of ChatGPT in software testing and examine how it can be applied in a software development process - both manual and automation - along with describing benefits of using ChatGPT3 in software quality assurance in order to encourage its adoption in the software development community.

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Mahajan, Prasad, Harshal Shedge, and Uday Patkar. "Automation Testing In Software Organization." International Journal of Computer Applications Technology and Research 5, no. 4 (2016): 198–201. http://dx.doi.org/10.7753/ijcatr0504.1004.

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Banerjee, Debdeep, Kevin Yu, and Garima Aggarwal. "Object Removal Software Test Automation." IEEE Access 8 (2020): 12967–75. http://dx.doi.org/10.1109/access.2020.2965947.

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Rankin, C. "The Software Testing Automation Framework." IBM Systems Journal 41, no. 1 (2002): 126–39. http://dx.doi.org/10.1147/sj.411.0126.

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Whelan, Ken E., and Ross D. King. "Intelligent software for laboratory automation." Trends in Biotechnology 22, no. 9 (2004): 440–45. http://dx.doi.org/10.1016/j.tibtech.2004.07.010.

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Rao, I. K. Ravichandra. "Guest Editorial: Library Automation: Software." DESIDOC Bulletin of Information Technology 15, no. 3 (1995): 2. http://dx.doi.org/10.14429/dbit.15.3.8106.

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Yusof, Yuhanis, and Qusai Hussein Ra. "Automation of Software Artifacts Classification." International Journal of Soft Computing 5, no. 3 (2010): 109–15. http://dx.doi.org/10.3923/ijscomp.2010.109.115.

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Glass, Robert L. "Software automation: Fact or fraud?" Journal of Systems and Software 31, no. 3 (1995): 183–84. http://dx.doi.org/10.1016/0164-1212(94)00097-2.

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Reagan Panguraj, Antony Ronald. "End-to-End Automation of Software Development Lifecycle (SDLC) Tools and Processes." International Journal of Multidisciplinary Research and Growth Evaluation. 2, no. 6 (2021): 438–41. https://doi.org/10.54660/.ijmrge.2021.2.6.438-441.

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The end-to-end automation approach for the Software Development Lifecycle (SDLC) now represents a fundamental solution to enhance development speed and minimize mistakes while improving productivity. Modern software development needs complete integration between stages for successful planning design development testing deployment and maintenance processes. The use of traditional manual approaches leads to delayed release schedules together with elevated mistake frequencies and elevated expenses. Software automation fights these development issues through simplified software development lifecycle stages while achieving faster and more reliable solutions with expanded capabilities. End-to-end automation combines multiple tools including continuous integration (CI), continuous deployment (CD) systems with automated testing features and version control measures joined by monitoring tools to create a streamlined workflow. Through automation developers direct their efforts toward essential work such as coding development alongside solution innovation while pipelines handle basic tasks including testing and deploying code compilation. DevOps results from integrating automation into the SDLC which streams development and operations teams toward better collaborative work together. Software development teams combined with IT operations through DevOps establish unified relationships to deliver software rapidly together with enhanced dependability. This document investigates end-to-end automation's vital role in the SDLC while explaining relevant tools and techniques and presenting both advantages and obstacles for its widespread implementation.

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Khankhoje, Rohit. "Robotic Process Automation (RPA) Towards Automation Testing." International Journal of Software Engineering & Applications 15, no. 1 (2024): 09–16. http://dx.doi.org/10.5121/ijsea.2024.15102.

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In the rapidly evolving realm of software development, Robotic Process Automation (RPA) has emerged as a pivotal technology that holds the potential to redefine the landscape of automation testing. This scholarly article delves into the integration of RPA within the realm of automation testing, elucidating its capacity to augment efficiency and precision. The primary aim of this investigation is to evaluate the efficacy of RPA tools in automating repetitive and time-consuming testing procedures that have traditionally been conducted by human testers. Through a comparative analysis of diverse RPA tools and a series of empirical case studies, we substantiate how RPA can substantially diminish manual exertion while concurrently expanding coverage and dependability in test scenarios. Our findings reveal that RPA, when effectively implemented, not only expedites the testing cycle but also contributes to the production of more robust and dependable software products. The article concludes by deliberating on the broader implications of these findings for the field of software testing, with an emphasis on the necessity for organizations to adapt to RPA-driven methodologies. This scholarly investigation lays the groundwork for future research endeavors aimed at optimizing RPA strategies and their integration with other emerging technologies in the realm of automation testing.

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KASYMBEKOV, A. S., and A. R. KHASANOV. "ORGANIZATIONAL AUTOMATED CONTROL SYSTEMS AND FEATURE." Q A Iasaýı atyndaǵy Halyqaralyq qazaq-túrіk ýnıversıtetіnіń habarlary (fızıka matematıka ınformatıka serııasy), no. 1 (March 15, 2022): 7–17. http://dx.doi.org/10.47526/2022-2/2524-0080.01.

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The article discusses the automated management systems of the organization and the study of the features of the automation process of software development. The main directions of automation of the management process, functional and structural parts of automated management systems of the organization and their classification are described. It provides for scripting or automating a wide range of software tasks for compiling and packaging code, performing automated tests, implementing software and creating documentation using the example of the integrated automated management system "University".

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Srivastav, Sarthak, Karthik Allam, and Anirudh Mustyala. "Software Automation Enhancement through the Implementation of DevOps." International Journal of Research Publication and Reviews 4, no. 6 (2023): 2050–54. http://dx.doi.org/10.55248/gengpi.4.623.45947.

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Mr., S. B. Nikam, and Amitabh Khurd Snehankita. "Automation Testing In Software Quality Assurance." Young Researcher 13, no. 3 (2024): 70–74. https://doi.org/10.5281/zenodo.13949410.

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<em>This research paper delves into the pivotal role of automation testing in modern software development practices. Highlighting its significance, the paper explores the benefits, challenges, and practical applications of automation testing. A focus on various types of automation testing, popular tools, and best practices provides insights into its efficiency and impact on software quality. Real-world case studies underscore successful implementations, and a glimpse into future trends concludes the paper, emphasizing the continued evolution and importance of automation testing in optimizing the software development lifecycle.</em>

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Liu, Wen Lai. "Research on a Novel Automation Software Reliability Detection Method." Applied Mechanics and Materials 556-562 (May 2014): 2928–31. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2928.

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The reliability detection method for the traditional large-scale automation software is based on the module design principle of the automation software which detects the reliability features one by one. It does not consider the concurrent reliable chain problems for the automation software which cause the low detection accuracy. The paper proposes a novel automation software system reliability detection method based on the path-based interfaces. The detection model integrates the features of the automation software. The established stochastic points process and state probability transition diagram overcome the shortcomings of the traditional large-scale automation software reliability detection methods. The experiment results illustrate the improved methods can increase the detection accuracy of the large-scale automation software which can be widely applied.

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Srivastava, Nishi, Ujjwal Kumar, and Pawan Singh. "Software and Performance Testing Tools." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 1 (2021): 1–12. http://dx.doi.org/10.54060/jieee/002.01.001.

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Software Testing may be a method, that involves, death penalty of a software system program/application and finding all errors or bugs therein program/application in order that the result is going to be a defect-free software system. Quality of any software system will solely be acknowledged through means that of testing (software testing). Through the advancement of technology round the world, there inflated the quantity of verification techniques and strategies to check the software system before it goes to production and astray to promote. Automation Testing has created its impact within the testing method. Now-a-days, most of the software system testing is finished with the automation tools that not solely lessens the quantity of individuals operating around that software system however additionally the errors which will be loose through the eyes of the tester. Automation take look acting contains test cases that make the work simple to capture totally different eventualities and store them. Therefore, software system automation testing method plays a significant role within the software system testing success. This study aims in knowing differing kinds of software system testing, software system testing techniques and tools and to match manual testing versus automation testing.

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Choi, Daehyoun, Hind R’bigui, and Chiwoon Cho. "Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation." Sustainability 13, no. 16 (2021): 8980. http://dx.doi.org/10.3390/su13168980.

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Today’s business environments face rapid digital transformation, engendering the continuous emerging of new technologies. Robotic Process Automation (RPA) is one of the new technologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasks by providing a virtual workforce, or digital workers in the form of software bots, for automating manual, high-volume, repetitive, and routine tasks. The goal is to allow human workers to delegate their tedious routine tasks to a software bot, thus allowing them to focus on more difficult tasks. RPA tools are simple and very powerful, according to cost-saving and other performance metrics. However, the main challenge of RPA implementation is to effectively determine the business tasks suitable for automation. This paper provides a methodology for selecting candidate tasks for robotic process automation based on user interface logs and process mining techniques.

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Silva, Roberto De Carvalho. "AUTOMATION AND OPTIMIZATION OF THE SAP SOFTWARE INSTALLATION PROCESS IN CORPORATE WORKSTATIONS: IMPACTS ON SCALABILITY AND SECURITY." Revista ft 29, no. 145 (2025): 34–35. https://doi.org/10.69849/revistaft/ch10202504040734.

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The automation and optimization of SAP software installation in corporate workstations are critical for enhancing scalability, security, and efficiency. Manual deployment processes are time-consuming, error-prone, and challenging to standardize in large-scale environments. This study explores automation tools such as Ansible, Terraform, and SCCM to streamline SAP deployment, reducing manual intervention and ensuring consistent configurations across multiple devices. The research also highlights the significance of security measures, including system hardening, least privilege policies, and multi-factor authentication, to mitigate potential vulnerabilities. A comprehensive literature review examines recent advancements in SAP deployment automation, emphasizing scalability and security. Studies demonstrate that integrating automation with cloud-based infrastructures improves deployment consistency, while compliance automation frameworks facilitate regulatory adherence. Additionally, AI-driven monitoring solutions enhance system reliability by predicting failures and optimizing resource allocation. The discussion highlights how automation tools significantly reduce deployment time while improving traceability and security. Standardized installation protocols prevent misconfigurations, and centralized deployment management minimizes human errors. Moreover, implementing security best practices safeguards SAP environments against cyber threats, ensuring compliance with regulatory requirements. This study concludes that automating SAP installation is a strategic necessity for organizations seeking operational efficiency, security, and scalability. Future research should explore AI-based automation to further refine installation processes and enhance proactive threat detection. By adopting automation and security best practices, organizations can achieve a more resilient and efficient SAP deployment framework.

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Reddy M, Shyam Prasad, and Dr Ambareesh S. "NETWORK AUTOMATION." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (2022): 203–6. http://dx.doi.org/10.26562/ijirae.2022.v0908.10.

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In the traditional ways of networking, we have a lot of manual operations to complete any task in networking. This leads to a heavier cost in network management than the cost of the network. To overcome cost and efficiency in network configuration and management, we are automating the tasks using software, where they can control, configure and manage networks. In this project, we are upgrading the Arista device operating system by taking pre and post conformations using python. Networking programming is based on software networks, where scripting is used for network elements control.

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Singh, Vinay. "Automation of Business Process Using RPA (Robotic Process Automation)." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 68–71. http://dx.doi.org/10.22214/ijraset.2022.45111.

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Abstract: The automation of robotic processes has increased the interest rate trend in recent times. However, most of the Researches describes only theoretical foundations on RPA or industry outcomes after implementing RPA in specific scenarios, especially in finance and outsourcing. With RPA, software users create software robots, or “bots”, that can read, replicate, and then execute many rules-based business processes. RPA automation enables users to build bots by observing human digital actions. Show your bots what to do, then let them do the work. Robotic Process Automation software bots can interact with any application or system the same way people do—except that RPA bots can operate around the clock, nonstop, much faster, and with 100% reliability and precision.

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Grishin, Andrey Evgenyevic, and Karen Albertovich Grigorian. "Development of the Expert System for Building the Architecture of Software Products." Russian Digital Libraries Journal 25, no. 2 (2022): 121–36. http://dx.doi.org/10.26907/1562-5419-2022-25-2-121-147.

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The article is devoted to automation of the software design stage. In the course of the study, the reasons for the high importance of this stage and the relevance of its automation were analyzed. The main stages of this stage were also considered and the existing systems that allow automating each of them were considered. In addition, an own solution was proposed within the framework of the problem of class structure refactoring based on the combinatorial optimization method. A solution method has been developed to improve the quality of the class hierarchy and tested on a real model.

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Badr, Salah. "Automation Support for Concurrent Software Engineering." International Conference on Electrical Engineering 1, no. 1 (1998): 342–52. http://dx.doi.org/10.21608/iceeng.1998.61091.

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Walker, Joshua T. "Software Test Automation with Robot Framework." International Journal of Computer Applications 175, no. 25 (2020): 8–14. http://dx.doi.org/10.5120/ijca2020920784.

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Vogel-Heuser, Birgit, Christian Diedrich, Alexander Fay, et al. "Challenges for Software Engineering in Automation." Journal of Software Engineering and Applications 07, no. 05 (2014): 440–51. http://dx.doi.org/10.4236/jsea.2014.75041.

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Krawczyk, Henryk, and Dawid Zima. "Automation in Software Source Code Development." International Journal of Information Technology and Computer Science 8, no. 12 (2016): 1–9. http://dx.doi.org/10.5815/ijitcs.2016.12.01.

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Kajtez, Nemanja, Yue Zhang, and Basel Halak. "Lockit: A Logic Locking Automation Software." Electronics 10, no. 22 (2021): 2817. http://dx.doi.org/10.3390/electronics10222817.

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The significant rise in the cost of manufacturing nanoscale integrated circuits (ICs) has led the majority of IC design companies to outsource the fabrication of their products to other companies, often located in different countries. The multinational nature of the hardware supply chain has led to a host of security threats, including IP piracy, IC overproduction, and Trojan insertion. To combat these, researchers have proposed logic locking techniques to protect the intellectual properties of the design and increase the difficulty of malicious modification of its functionality. However, the adoption of logic locking approaches has been rather slow due to the lack of integration with the IC production process and the lack of efficacy of existing algorithms. This work automates the logic locking process by developing software using Python that performs the locking on a gate-level netlist, which can be integrated with the existing digital synthesis tools. Analysis of the latest logic locking algorithms has demonstrated that the SFLL-HD algorithm is one of the most secure and versatile when trading-off levels of protection against different types of attacks and was thus selected for implementation. The presented tool can also be expanded to incorporate the latest locking mechanisms to keep up with the fast-paced development in this field. The paper also presents a case study to demonstrate the functionality of the tool and how it could be used to explore the design space and compare different locking solutions.

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Ahmed, Khandakar, Jan Blech, Mark Gregory, and Heinz Schmidt. "Software Defined Networks in Industrial Automation." Journal of Sensor and Actuator Networks 7, no. 3 (2018): 33. http://dx.doi.org/10.3390/jsan7030033.

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Trends such as the Industrial Internet of Things and Industry 4.0 have increased the need to use new and innovative network technologies in industrial automation. The growth of industrial automation communications is an outcome of the shift to harness the productivity and efficiency of manufacturing and process automation with a minimum of human intervention. Due to the ongoing evolution of industrial networks from Fieldbus technologies to Ethernet, a new opportunity has emerged to harness the benefits of Software Defined Networking (SDN). In this paper, we provide a brief overview of SDN in the industrial automation domain and propose a network architecture called the Software Defined Industrial Automation Network (SDIAN), with the objective of improving network scalability and efficiency. To match the specific considerations and requirements of having a deterministic system in an industrial network, we propose two solutions for flow creation: the Pro-active Flow Installation Scheme and the Hybrid Flow Installation Scheme. We analytically quantify the proposed solutions that alleviate the overhead incurred from the flow setup. The analytical model is verified using Monte Carlo simulations. We also evaluate the SDIAN architecture and analyze the network performance of the modified topology using the Mininet emulator. We further list and motivate SDIAN features and report on an experimental food processing plant demonstration featuring Raspberry Pi as a software-defined controller instead of traditional proprietary Programmable Logic Controllers. Our demonstration exemplifies the characteristics of SDIAN.

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Hillson, Nathan J., Rafael D. Rosengarten, and Jay D. Keasling. "j5 DNA Assembly Design Automation Software." ACS Synthetic Biology 1, no. 1 (2011): 14–21. http://dx.doi.org/10.1021/sb2000116.

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