Academic literature on the topic 'Software Automation'

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Journal articles on the topic "Software Automation"

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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>&ldquo;Robots&rdquo;, 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&rsquo;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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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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Dissertations / Theses on the topic "Software Automation"

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Traino, Anthony J. "Automation of software development metrics." [Denver, Colo.] : Regis University, 2008. http://165.236.235.140/lib/ATraino2008.pdf.

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Lindholm, David. "Economics of Test Automation : Test case selection for automation." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154941.

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In this thesis a method for selecting test cases for test automation is developed and evaluated. Existing methods from the literature has been reviewed and modified resulting in the proposed method, a decision tree containing 23 factors grouped into 8 decision points. The decision tree has been used and evaluated in an industrial setting. The economic benefits were calculated with return on investment and the organisational benefits were measured in a survey at a software producing company. The result was that automated tests, selected with the decision tree, provided economic benefits after 0.5 to 4 years, these tests were also found leading to 3 organisational benefits: less human effort when testing, reduction in cost and allowing for shorter release cycles.
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Poblacion, Salvatierra Itxaso. "Simulation software for automation industry : Factory I/O and KUKASim software." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27271.

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This thesis has two aims, both related with simulation programs. The first one is to analyze the viability of using Factory I/O as a tool at the University of Gävle for teaching and understanding the PLCs and the ladder programing. The second one is do a 3D model of the robotics laboratory to use it with the KUKASim and after that find a method to transfer code from KUKASim to the actual robots.Factory I/O has been install and use with a Siemens PLC, which was programed in Siemens TIA Portal. The evaluation of the software as a teaching tool has been done according to a supposition of how much time could it take to an average bachelor degree student in automation to create a functional project. In order to determine that, a demo has been done, which consist on a process in where a box enters by a conveyor. There are two ruts for the box to exit, straight or to the left, and the direction is choose by moving a switcher in the PLC. After analyzing finishing the demo, it has been determinate that it could take around 4 hours to complete a functional project.For the KUKASim part, KUKASim was already installed. However, during the development of this project it was updated from 2.2 to 3.0.4 which caused a minor issues; the SketchUp model could not be imported to 2.2 version and by the time that the upgrade was made the 3D environment of the robotic laboratory was already made in KUKASim.On the other hand, the Office Lite software was needed to be installed in order to transfer the code from KUKASim to the real robots, but due to some license issues, the installation was done at the end period of the project. The connection of both software was not possible to make, still, during the time that Office Lite was not available, an alternative method to transfer the code was found. The program files were download from KUKASim and transfer to the robot with WorkVisual.The conclusion of the thesis is that Factory I/O could be used as a learning and teaching tool because is an easy program to work with. All the same, KUKASim is a multifunctional software, which has make it possible to achieve both of the purposes for corresponding part of the project.
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Jayachandran, Naveen. "Understanding roi metrics for software test automation." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001241.

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Eatinger, Christopher J. "Testing automation tools for secure software development." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FEatinger.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, June 2007.<br>Thesis Advisor(s): Mikhail Auguston. "June 2007." Description based on title screen as viewed on August 14, 2007. Includes bibliographical references (p. 61). Also available in print.
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Zinn, Marcus. "Service-based automation of software construction activities." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/2862.

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The reuse of software units, such as classes, components and services require professional knowledge to be performed. Today a multiplicity of different software unit technologies, supporting tools, and related activities used in reuse processes exist. Each of these relevant reuse elements may also include a high number of variations and may differ in the level and quality of necessary reuse knowledge. In such an environment of increasing variations and, therefore, an increasing need for knowledge, software engineers must obtain such knowledge to be able to perform software unit reuse activities. Today many different reuse activities exist for a software unit. Some typical knowledge intensive activities are: transformation, integration, and deployment. In addition to the problem of the amount of knowledge required for such activities, other difficulties also exist. The global industrial environment makes it challenging to identify sources of, and access to, knowledge. Typically, such sources (e.g., repositories) are made to search and retrieve information about software unitsand not about the required reuse activity knowledge for a special unit. Additionally, the knowledge has to be learned by inexperienced software engineers and, therefore, to be interpreted. This interpretation may lead to variations in the reuse result and can differ from the estimated result of the knowledge creator. This makes it difficult to exchange knowledge between software engineers or global teams. Additionally, the reuse results of reuse activities have to be repeatable and sustainable. In such a scenario, the knowledge about software reuse activities has to be exchanged without the above mentioned problems by an inexperienced software engineer. The literature shows a lack of techniques to store and subsequently distribute relevant reuse activity knowledge among software engineers. The central aim of this thesis is to enable inexperienced software engineers to use knowledge required to perform reuse activities without experiencing the aforementioned problems. The reuse activities: transformation, integration, and deployment, have been selected as the foundation for the research. Based on the construction level of handling a software unit, these activities are called Software Construction Activities (SCAcs) throughout the research. To achieve the aim, specialised software construction activity models have been created and combined with an abstract software unit model. As a result, different SCAc knowledge is described and combined with different software unit artefacts needed by the SCAcs. Additionally, the management (e.g., the execution of an SCAc) will be provided in a service-oriented environment. Because of the focus on reuse activities, an approach which avoids changing the knowledge level of software engineers and the abstraction view on software units and activities, the object of the investigation differs from other approaches which aim to solve the insufficient reuse activity knowledge problem. The research devised novel abstraction models to describe SCAcs as knowledge models related to the relevant information of software units. The models and the focused environment have been created using standard technologies. As a result, these were realised easily in a real world environment. Softwareengineers were able to perform single SCAcs without having previously acquired the necessary knowledge. The risk of failing reuse decreases because single activities can be performed. The analysis of the research results is based on a case study. An example of a reuse environmenthas been created and tested in a case study to prove the operational capability of the approach. The main result of the research is a proven concept enabling inexperienced software engineers to reuse software units by reusing SCAcs. The research shows the reduction in time for reuse and a decrease of learning effort is significant.
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Lamce, Bora. "Automation and Evaluation of Software Fault Prediction." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39995.

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Delivering a fault-free software to the client requires exhaustive testing, which in today's ever-growing software systems, can be expensive and often impossible. Software fault prediction aims to improve software quality while reducing the testing effort by identifying fault-prone modules in the early stages of development process. However, software fault prediction activities are yet to be implemented in the daily work routine of practitioners as a result of a lack of automation of this process. This thesis presents an Eclipse plug-in as a fault prediction automation tool that can predict fault-prone modules using two prediction methods, Naive Bayes and Logistic Regression, while also reflecting on the performance of these prediction methods compared to each other. Evaluating the prediction methods on open source projects concluded that Logistic Regression performed better than Naive Bayes.As part of the prediction process, this thesis also reflects on the easiest metrics to automatically gather for fault prediction concluding that LOC, McCabe Complexity and CK suite metrics are the easiest to automatically gather.
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Amlinger, Hanna. "Application of a New Software Tool for the Automated Test of Automotive Electronic Control Unit Software." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16785.

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<p>Testing plays a very important role for assuring the quality of developed software. In a modern vehicle, more and more of the functionality is controlled by software and the complexity of the software always increases. The expectations on automating the testing process are to save time and to reach an even higher quality.</p><p>In this thesis, which was performed at ZF Friedrichshafen AG, a new tool for automated tests is studied. The tool is used for software in the loop simulation based system tests. The user specifies which outputs that shall be observed and which inputs that can be controlled. Based on these prerequisites, test cases are generated.</p><p>It has been studied how to apply the tool, how the test case generation can be influenced, on which systems it successfully could be used and which results that could be reached with the tool. The tool has been evaluated on the hand of two real-life examples; the software of an automatic transmission and of a pressure controller, a module of this software. It was found that there are many interesting possibilities to apply the tool in order to support the present testing process.</p>
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Christoph, Alexander. "Automatische Transformation von Software-Modellen /." Norderstedt : Books on Demand, 2005. http://www.gbv.de/dms/ilmenau/toc/503792349.PDF.

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Grecco, Albert J. "AdaFlow: the automation of software analysis using Petri Nets." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/22853.

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There is considerable interest in the development of Ada-based, automated software tools to aid in the development and testing of embedded, real-time software. The Naval Postgraduate School has already implemented automated Ada metric tools at the request of the Naval Weapons Center, China Lake. This thesis is the preliminary work for a new automated software analysis tool entitled AdaFlow. This tool, which is written in Ada, takes Ada programs as input, and translates the source code to a Petri net model. This Petri net model provides the user with the capability to perform automated, interactive analysis of Ada programs for properties such as safety and deadlocks. Recommendations for future work in this area are included.(KR)
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Books on the topic "Software Automation"

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Christie, Alan M. Software Process Automation. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79252-6.

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Parsa, Saeed. Software Testing Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9.

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Alpaev, Gennadiy. Software Testing Automation Tips. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3162-3.

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McClure, Carma L. CASE is software automation. Prentice Hall, 1989.

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1926-, Sata Toshio, Olling G, International Federation for Information Processing. TechnicalCommittee 5. Working Group 5.3., and International Federation of Operational Research Societies., eds. Software for factory automation. North-Holland, 1989.

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United Nations. Economic Commission for Europe., ed. Software for industrial automation. United Nations, 1987.

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Biffl, Stefan, Dietmar Winkler, and Johannes Bergsmann, eds. Software Quality. Process Automation in Software Development. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27213-4.

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Wang, Lingfeng, and Kay Chen Tan. Modern Industrial Automation Software Design. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471776289.

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Wang, Lingfeng. Modern Industrial Automation Software Design. John Wiley & Sons, Ltd., 2006.

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Sammarco, John J. Computer-aided software engineering (CASE) for software automation. U.S. Dept. of the Interior, Bureau of Mines, 1990.

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Book chapters on the topic "Software Automation"

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Bannert, Matthias. "Automation." In Research Software Engineering. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003286899-8.

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Parsa, Saeed. "Software Testability." In Software Testing Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9_1.

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Patton, Peter C., and Bijay K. Jayaswal. "Software Management." In Springer Handbook of Automation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78831-7_45.

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Leloudas, Panagiotis. "Test Automation." In Introduction to Software Testing. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9514-4_7.

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Radford, Ross. "Automation Reuse." In Software Testing for Managers. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0572-1_5.

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Parsa, Saeed. "Unit Testing and Test-Driven Development (TDD)." In Software Testing Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9_2.

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Parsa, Saeed. "Search-Based Testing." In Software Testing Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9_11.

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Parsa, Saeed. "Automatic Refactoring." In Software Testing Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9_5.

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Parsa, Saeed. "Graph Coverage." In Software Testing Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9_6.

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Parsa, Saeed. "Spectrum-Based Fault Localization." In Software Testing Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9_7.

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Conference papers on the topic "Software Automation"

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Raghi, K. R., K. Sudha, Sreeram A. M, and Steve Joshua S. "Software Development Automation Using Generative AI." In 2024 International Conference on Emerging Research in Computational Science (ICERCS). IEEE, 2024. https://doi.org/10.1109/icercs63125.2024.10894980.

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Awad, Abdallah, Mahmoud H. Qutqut, Ali Ahmed, Fatima Al-Haj, and Fadi Almasalha. "Artificial Intelligence Role in Software Automation Testing." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836630.

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Morales-Gonzalez, Christopher, Matthew Harper, Boya Yuan, and Xinwen Fu. "On Software Security of Building Automation Systems." In 2025 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2025. https://doi.org/10.1109/icnc64010.2025.10993917.

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Thummalapenta, Suresh, Saurabh Sinha, Nimit Singhania, and Satish Chandra. "Automating test automation." In 2012 34th International Conference on Software Engineering (ICSE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icse.2012.6227131.

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Muthukrishnan, K., and P. Muthukumar. "Library Automation Software and Open Source Software." In Third International Conference on Current Trends in Engineering Science and Technology ICCTEST-2017. Grenze Scientific Society, 2017. http://dx.doi.org/10.21647/icctest/2017/49120.

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Ren, Hao, Wentao Mo, Guang Zhao, Dangpei Ren, and Shuo Liu. "Breadth First Search Based COSINE Software Code Framework Automation Algorithm." In ASME 2015 Power Conference collocated with the ASME 2015 9th International Conference on Energy Sustainability, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/power2015-49855.

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Using software automation technology can significantly improve the quality and productivity of software development. Based on the tree data structure, this paper proposed the Breadth First Search (BFS) based software framework automatic generation algorithm called CFAA (Code Framework Automation Algorithm). The algorithm uses tree data structure to represent scientific computing software architecture, then uses the BFS to traverse all nodes of the tree to generate code framework of software. CFAA enable programmers to focus more on computing software architecture design and optimization, and then automatically generate the skeleton code. CFAA has been applied to COSINE (Core and System Integrated Engine for design and analysis) software development process. Practice proved that CFAA can improve the efficiency of building software framework, while reducing the defect rate of software development.
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Lundgren, William I., James W. Steed, and Kerry B. Barnes. "Engineering software using automation." In 2016 IEEE Aerospace Conference. IEEE, 2016. http://dx.doi.org/10.1109/aero.2016.7500919.

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Kuhl, Ingmar, and Alexander Fay. "A middleware for software evolution of automation software." In Factory Automation (ETFA 2011). IEEE, 2011. http://dx.doi.org/10.1109/etfa.2011.6059109.

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Ren, Hao, Wentao Mo, Guang Zhao, Dangpei Ren, and Shuo Liu. "Breadth First Search Based COSINE Software Code Framework Automation Algorithm." In ASME 2014 Power Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/power2014-32014.

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Using software automation technology can significantly improve the quality and productivity of nuclear power software development. Based on the ‘tree’ data structure, this paper proposed Breadth First Search (BFS) based nuclear power software source code framework automatic generation algorithm called CFAA (Code Framework Automation Algorithm). CFAA uses ‘tree’ data structure to represent architecture of nuclear power software, then utilizes BFS to traverse all tree nodes to generate software source code framework. CFAA enables programmers to focus more on nuclear power software architecture design and optimization, and then generate the skeleton source code automatically. CFAA has been applied to COSINE (Core and System Integrated Engine for design and analysis) software development. Practice proved that CFAA can improve the efficiency of building nuclear power software framework, while reducing the defect rate of nuclear power software development.
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Sangregorio, P., A. L. Cologni, and F. Previdi. "Modular automatic generation of automation software for manufacturing machines." In 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI). IEEE, 2015. http://dx.doi.org/10.1109/rtsi.2015.7325142.

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Reports on the topic "Software Automation"

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Luqi. Engineering Automation for Reliable Software. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada394886.

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Luqi. Engineering Automation for Reliable Software. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384685.

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Cunningham, L. T. Honeywell modular automation system computer software documentation. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/325385.

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STUBBS, A. M. Honeywell Modular Automation System Computer Software Documentation. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/805654.

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CUNNINGHAM, L. T. Honeywell Modular Automation System Computer Software Documentation. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/798078.

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Christie, A., L. Levine, E. Morris, D. Zubrow, and T. Belton. Software Process Automation: Experiences from the Trenches. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada310916.

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STUBBS, A. M. Honeywell modular automation system computer software documentation. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/814764.

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Shatz, Sol M. Methods and Tools to Support Software Engineering Automation. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada392761.

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Benner, Steven A. Design Automation Software for DNA-Based Nano-Sensor Architecture. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada582334.

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Baldwin, Richard, and Toshihiro Okubo. Are Software Automation and Teleworkers Substitutes? Preliminary Evidence from Japan. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31627.

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