Relevant bibliographies by topics / Software generation

Academic literature on the topic 'Software generation'

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Published: 7 September 2024

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Journal articles on the topic "Software generation"

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Misra, S. K., and P. J. Jalics. "Third-generation versus fourth-generation software development." IEEE Software 5, no. 4 (July 1988): 8–14. http://dx.doi.org/10.1109/52.17797.

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Lu, Ruqian, and Zhi Jin. "Automating application software generation." Expert Systems 20, no. 2 (May 2003): 72–78. http://dx.doi.org/10.1111/1468-0394.00227.

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Rudall, B. H. "Towards automatic software generation." Robotica 3, no. 1 (January 1985): 31–34. http://dx.doi.org/10.1017/s0263574700001454.

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SUMMARYCybernetic techniques already ensure that computing machines are produced efficiently. Consideration is now given to the case for automating the means of producing computer software. A formal notation to describe software production is outlined and some machine portable systems are introduced. New and powerful techniques for modelling machines and producing ‘program’ generators are described.
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Camuffo, M., M. Maiocchi, and M. Morselli. "Automatic software test generation." Information and Software Technology 32, no. 5 (June 1990): 337–46. http://dx.doi.org/10.1016/0950-5849(90)90003-a.

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Agarwal, Shubham, and Abhimanyu Bhatter. "Automated Software Test Data Generation Using Improved Search Procedure." Lecture Notes on Software Engineering 3, no. 2 (2015): 152–56. http://dx.doi.org/10.7763/lnse.2015.v3.181.

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Rajamanickam, Leelavathi, Nurul Azlia Binti Mat Saat, and Siti Norbaya Binti Daud. "Software Testing: The Generation Tools." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 2 (April 15, 2019): 231–34. http://dx.doi.org/10.30534/ijatcse/2019/20822019.

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Yang, Fan, Z. H. Dong, and Jue Wang. "Method and Software Generation Platform." Applied Mechanics and Materials 743 (March 2015): 563–67. http://dx.doi.org/10.4028/www.scientific.net/amm.743.563.

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This paper proposed a method and software generation platform, which can automatically generate C++ codes of math equation, and package the software and method into a standard component. Also, the system integrates different types of methods in the unified information processing system with standard interface and format. Users can create new component and design experimental task with existing components. The system is quite convenient for developers to develop new component, easy for administrators to manage all existing component, and simple for users to design and operate experimental task.
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Keyvanpour, M. R., H. Homayouni, and Hasein Shirazee. "Automatic Software Test Case Generation." Journal of Software Engineering 5, no. 3 (June 15, 2011): 91–101. http://dx.doi.org/10.3923/jse.2011.91.101.

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LV, Ping, Qinrang LIU, Jiangxing WU, Hongchang CHEN, and Jianliang SHEN. "New generation software-defined architecture." SCIENTIA SINICA Informationis 48, no. 3 (March 1, 2018): 315–28. http://dx.doi.org/10.1360/n112017-00204.

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Luker, P. A. "Program Generators and Generation Software." Computer Journal 29, no. 4 (April 1, 1986): 315–21. http://dx.doi.org/10.1093/comjnl/29.4.315.

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Dissertations / Theses on the topic "Software generation"

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Fischer, Scott Edward. "Standard form 254 generation software." Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/22386.

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Liang, Dong. "Automatic generation of software applications." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2014. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-149742.

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The Model Driven Architecture (MDA) allows moving the software development from the time consuming and error-prone level of writing program code to the next higher level of modeling. In order to gain benefit from this innovative technology, it is necessary to satisfy two requirements. These are first, the creation of compact, complete and correct platform independent models (PIM) and second, the development of a flexible and extensible model transformation framework taking into account frequent changes of the target platform. In this thesis a platform-based methodology is developed to create PIM by abstracting common modeling elements into a platform independent modeling library called Design Platform Model (DPM). The DPM contains OCL-based types for modeling primitive and collection types, a platform independent GUI toolkit as well as other common modeling elements, such as those for IO-operations. Furthermore, a DPM profile containing diverse domain specific and design pattern-based stereotypes is also developed to create PIM with high-level semantics. The behavior in PIM is specified using an OCL-like action language called eXecutable OCL (XOCL), which is also developed in this thesis. For model transformation, the model compiler MOCCA is developed based on a flexible and extensible architecture. The model mapper components in the current version of MOCCA are able to map desktop applications onto JSE platform; the both business object layer and persistence layer of a three-layered enterprise applications onto JEE platform and SAP ABAP platform. The entire model transformation process is finished with complete code generation.
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Turnas, Daniel. "Next generation software process improvement." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FTurnas.pdf.

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Thesis (M.S. in Software Engineering)--Naval Postgraduate School, June 2003.
Thesis advisor(s): Mikhail Auguston, Christopher D. Miles. Includes bibliographical references (p. 59-61). Also available online.
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Paraskevas, Zaharias. "Code generation for dataflow software pipelining." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=55627.

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Holmes, Stephen Terry. "Heuristic generation of software test data." Thesis, University of South Wales, 1996. https://pure.southwales.ac.uk/en/studentthesis/heuristic-generation-of-software-test-data(aa20a88e-32a5-4958-9055-7abc11fbc541).html.

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Incorrect system operation can, at worst, be life threatening or financially devastating. Software testing is a destructive process that aims to reveal software faults. Selection of good test data can be extremely difficult. To ease and assist test data selection, several test data generators have emerged that use a diverse range of approaches. Adaptive test data generators use existing test data to produce further effective test data. It has been observed that there is little empirical data on the adaptive approach. This thesis presents the Heuristically Aided Testing System (HATS), which is an adaptive test data generator that uses several heuristics. A heuristic embodies a test data generation technique. Four heuristics have been developed. The first heuristic, Direct Assignment, generates test data for conditions involving an input variable and a constant. The Alternating Variable heuristic determines a promising direction to modify input variables, then takes ever increasing steps in this direction. The Linear Predictor heuristic performs linear extrapolations on input variables. The final heuristic, Boundary Follower, uses input domain boundaries as a guide to locate hard-to-find solutions. Several Ada procedures have been tested with HATS; a quadratic equation solver, a triangle classifier, a remainder calculator and a linear search. Collectively they present some common and rare test data generation problems. The weakest testing criterion HATS has attempted to satisfy is all branches. Stronger, mutation-based criteria have been used on two of the procedures. HATS has achieved complete branch coverage on each procedure, except where there is a higher level of control flow complexity combined with non-linear input variables. Both branch and mutation testing criteria have enabled a better understanding of the test data generation problems and contributed to the evolution of heuristics and the development of new heuristics. This thesis contributes the following to knowledge: Empirical data on the adaptive heuristic approach to test data generation. How input domain boundaries can be used as guidance for a heuristic. An effective heuristic termination technique based on the heuristic's progress. A comparison of HATS with random testing. Properties of the test software that indicate when HATS will take less effort than random testing are identified.
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Enoiu, Eduard. "Automatic test generation for industrial control software." Doctoral thesis, Mälardalens högskola, Inbyggda system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33364.

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Since the early days of software testing, automatic test generation has been suggested as a way of allowing tests to be created at a lower cost. However, industrially useful and applicable tools for automatic test generation are still scarce. As a consequence, the evidence regarding the applicability or feasibility of automatic test generation in industrial practice is limited. This is especially problematic if we consider the use of automatic test generation for industrial safety-critical control systems, such as are found in power plants, airplanes, or trains. In this thesis, we improve the current state of automatic test generation by developing a technique based on model-checking that works with IEC 61131-3 industrial control software. We show how automatic test generation for IEC 61131-3 programs, containing both functional and timing information, can be solved as a model checking problem for both code and mutation coverage criteria.  The developed technique has been implemented in the CompleteTest tool. To evaluate the potential application of our technique, we present several studies where the tool is applied to industrial control software. Results show that CompleteTest is viable for use in industrial practice; it is efficient in terms of the time required to generate tests that satisfy both code and mutation coverage and scales well for most of the industrial programs considered. However, our results also show that there are still challenges associated with the use of automatic test generation. In particular, we found that while automatically generated tests, based on code coverage, can exercise the logic of the software as well as tests written manually, and can do so in a fraction of the time, they do not show better fault detection compared to manually created tests. Specifically, it seems that manually created tests are able to detect more faults of certain types (i.e, logical replacement, negation insertion and timer replacement) than automatically generated tests. To tackle this issue, we propose an approach for improving fault detection by using mutation coverage as a test criterion. We implemented this approach in the CompleteTest tool and used it to evaluate automatic test generation based on mutation testing. While the resulting tests were more effective than automatic tests generated based on code coverage, in terms of fault detection, they still were not better than manually created tests. In summary, our results highlight the need for improving the goals used by automatic test generation tools. Specifically, fault detection scores could be increased by considering some new mutation operators as well as higher-order mutations. Our thesis suggests that automatically generated test suites are significantly less costly in terms of testing time than manually created test suites. One conclusion, strongly supported by the results of this thesis, is that automatic test generation is efficient but currently not quite as effective as manual testing. This is a significant progress that needs to be further studied; we need to consider the implications and the extent to which automatic test generation can be used in the development of reliable safety-critical systems.
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坂部, 俊樹, 正彦 酒井, 圭一朗 草刈, and 直樹 西田. "Program Generation Techniques for Developing Reliable Software." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10387.

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Jesus, Fábio Miguel Rodrigues de. "CodeGen: improving software development through code generation." Master's thesis, Instituto Politécnico de Setúbal.Escola Superior de Tecnologia de Setúbal, 2019. http://hdl.handle.net/10400.26/31332.

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Projeto realizado em âmbito empresarial
A project submitted in fulfillment of the requirements for the degree of master’s in software engineering
Developing software applications requires time and experience that developers often lack. Additionally, development is more about the problem’s domain and not about the coding process itself, making the automatization of the process quite challenging and engaging, unlike other successfully automated processes. To further reduce the developer’s engagement in corporal developing standards such as following specific patterns or rules, CodeGen presents itself as a code generating tool that, while limited as a prototype, is intended to build and test applications in a set of languages and patterns. In order to do so, an exploratory research on the topics of code generation, architectural and design patterns, and programming languages is required, in order to evaluate what can be done with the current technology and knowledge available. Supported by this research, a prototype is developed as a proof of concept for a Visual Studio Extension that generates web applications in .NET MVC (Model-View-Controller). Since Visual Studio can’t compile Java and the user is not restricted to the choice of development environment, the current research also analyses the possibility of having more than one user interface.
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Yang, Bo. "Software test generation based on flow models." Thesis, University of Ottawa (Canada), 1991. http://hdl.handle.net/10393/7925.

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Software testing is one of the most widely used quality assurance methodologies. A large software system usually has a hierarchical structure: for example, system, subsystems (programs), subprograms, and procedures, where a subsystem is composed of a number of subprograms, each of which in turn is composed of a number of procedures. Testing of a system can be done at different levels with different emphases. In this thesis, we focus on testing at the two lowest levels, namely procedure and subprogram levels. Until recently, many testing techniques used control flow graph or its variants for selecting the tests. It is known that such a flow model is only capable of capturing the control flow. For data flow oriented testing, the def-use graph is used to represent both control flow and data flow. Based on this model, we propose a class of data flow oriented test selection criteria using input-output and input-predicate relations. These criteria are shown to have certain merits over the existing test selection criteria. However, a def-use graph can be only used to capture control flow and data flow within a procedure. Since control flow and data flow also exist among interacting procedures in a subprogram, a more expressive model is necessary in order to perform testing at subprogram level. Such a model is proposed by extending the def-use graph model. By using this model, the tests generated using a test selection criterion are shown to be more meaningful and, likely, more effective in detecting errors.
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Eriksson, Mattias. "Integrated Software Pipelining." Licentiate thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16170.

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Books on the topic "Software generation"

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Chen, M. J., M. Buamud, and D. M. Grant. Generation Systems Software. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1191-1.

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Geological Survey (U.S.), ed. Revision and product generation software. [Reston, Va.?: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Geological Survey (U.S.), ed. Revision and product generation software. [Reston, Va.?: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Geological Survey (U.S.), ed. Revision and product generation software. [Reston, Va.?: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Geological Survey (U.S.), ed. Revision and product generation software. [Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Great Britain. Treasury. Central Computer and Telecommunications Agency., ed. Application generation environments. London: HMSO, 1993.

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Fisher, Gary E. Application software prototyping and fourth generation languages. Washington, D.C: National Bureau of Standards, 1987.

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Suhartono, A. NC codes generation software for contisure applications. Manchester: UMIST, 1993.

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Wojtkowski, W. Gregory. Applications software programming with fourth-generation languages. Boston: Boyd & Fraser Pub. Co., 1990.

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United States. National Aeronautics and Space Administration, ed. Second generation experiments in fault tolerant software. Charlottesville, Va: Dept. of Computer Science, School of Engineering and Applied Science, University of Virginia, 1987.

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Book chapters on the topic "Software generation"

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Pujolle, Guy. "New-Generation Protocols." In Software Networks, 81–101. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119005100.ch4.

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Chen, M. J., M. Buamud, and D. M. Grant. "Introduction." In Generation Systems Software, 1–2. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1191-1_1.

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Chen, M. J., M. Buamud, and D. M. Grant. "Overview of system component modelling." In Generation Systems Software, 3–12. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1191-1_2.

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Chen, M. J., M. Buamud, and D. M. Grant. "Program operating manuals." In Generation Systems Software, 13–15. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1191-1_3.

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Chen, M. J., M. Buamud, and D. M. Grant. "Steam turbo-generator program manual." In Generation Systems Software, 16–45. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1191-1_4.

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Chen, M. J., M. Buamud, and D. M. Grant. "Diesel-generator program manual." In Generation Systems Software, 46–75. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1191-1_5.

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Chen, M. J., M. Buamud, and D. M. Grant. "Gas turbine-generator program manual." In Generation Systems Software, 76–101. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1191-1_6.

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Braem, Mathieu, Kris Gybels, Andy Kellens, and Wim Vanderperren. "Automated Pattern-Based Pointcut Generation." In Software Composition, 66–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11821946_5.

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Lung, Chung-Horng, Balasangar Balasubramaniam, Kamalachelva Selvarajah, Poopalasinkam Elankeswaran, and Umatharan Gopalasundaram. "Towards Architecture-Centric Software Generation." In Software Architecture, 38–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15114-9_6.

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Steffen, Bernhard, Malte Isberner, Stefan Naujokat, Tiziana Margaria, and Maren Geske. "Property-Driven Benchmark Generation." In Model Checking Software, 341–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39176-7_21.

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Conference papers on the topic "Software generation"

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Nabeel, Mohamad, Doumitrou Daniil Nimara, and Tahar Zanouda. "Test Code Generation for Telecom Software Systems Using Two-Stage Generative Model." In 2024 IEEE International Conference on Communications Workshops (ICC Workshops), 1231–36. IEEE, 2024. http://dx.doi.org/10.1109/iccworkshops59551.2024.10615269.

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Hooper, Rich. "Next generation ATE software." In 2013 IEEE AUTOTESTCON. IEEE, 2013. http://dx.doi.org/10.1109/autest.2013.6645071.

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Albrecht, R., H. M. Adorf, and A. Richmond. "Next Generation Software Techniques." In 1986 Astronomy Conferences, edited by David L. Crawford. SPIE, 1986. http://dx.doi.org/10.1117/12.968094.

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van Dam, Andries, Sascha Becker, and Rosemary Michelle Simpson. "Next-generation educational software." In ACM SIGGRAPH 2007 courses. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1281500.1281543.

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MacCrimmon, K. R., and C. Wagner. "Second generation creativity support software." In Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences. IEEE, 1992. http://dx.doi.org/10.1109/hicss.1992.183486.

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Johnsonbaugh, Richard, and Martin Kalin. "A graph generation software package." In the twenty-second SIGCSE technical symposium. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/107004.107032.

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Voyiatzis, I., C. Efstathiou, and K. Patriarcheas. "Software-based SIC pair Generation." In PCI '16: 20th Pan-Hellenic Conference on Informatics. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3003733.3003803.

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Ruehl, Kelley, Carlos Michelen Strofer, David Ogden, and Elena Baca. "Next Generation Marine Energy Software." In Proposed for presentation at the OREC-METS 2022 held September 12-June 17, 2022 in Portland, Oregon United States. US DOE, 2022. http://dx.doi.org/10.2172/2004751.

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Dietz, Jan. "Enterprise Ontology Driven Software Generation." In Second International Symposium on Business Modeling and Software Design. SCITEPRESS - Science and Technology Publications, 2012. http://dx.doi.org/10.5220/0004462500030003.

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Chen, Yijia. "Speech Generation by Generative Adversarial Network." In 2021 2nd International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2021. http://dx.doi.org/10.1109/icbase53849.2021.00086.

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Reports on the topic "Software generation"

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Dow, Stephen J. EPBST Imagery Generation Software. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada400994.

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Manna, Zohar. Next Generation Software Development. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada435087.

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Mellinger, David K. Next-Generation Bioacoustic Analysis Software. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada541922.

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Mellinger, David K. Next-Generation Bioacoustic Analysis Software. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada573557.

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Mellinger, David K. Next-Generation Bioacoustic Analysis Software. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598524.

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Mellinger, David K. Next-Generation Bioacoustic Analysis Software. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada598566.

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Mellinger, David K. Next-Generation Bioacoustic Analysis Software. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada618004.

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Long, Louie, Travis Drayna, Laura Lang, and Henry Stam. CrossLink Mesh Generation Software: An Introduction. Office of Scientific and Technical Information (OSTI), May 2023. http://dx.doi.org/10.2172/1974911.

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Fisher, Gary E. Application software prototyping and fourth generation languages. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.sp.500-148.

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Ruehl, Kelley, Jorge Leon, Carlos Michelen, Mathew Topper, Nathan Tom, Elena Baca, and David Ogden. Next-Generation Marine Energy Software Needs Assessment. Office of Scientific and Technical Information (OSTI), May 2023. http://dx.doi.org/10.2172/1975219.

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