Academic literature on the topic 'Programming tools'

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Journal articles on the topic "Programming tools"

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Fineblum, Michelle, and Henry Lieberman. "STORYBOARD-BASED PROGRAMMING TOOLS." ACM SIGCHI Bulletin 23, no. 4 (1991): 81–82. http://dx.doi.org/10.1145/126729.1056078.

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Saltz, Joel, Alan Sussman, Susan Graham, James Demmel, Scott Baden, and Jack Dongarra. "Programming tools and environments." Communications of the ACM 41, no. 11 (1998): 64–73. http://dx.doi.org/10.1145/287831.287841.

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Bogunovi�, Hrvoje. "Java Tools for Extreme Programming." Journal of Computing and Information Technology 11, no. 2 (2003): 143. http://dx.doi.org/10.2498/cit.2003.02.07.

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Herbert, Ric D. "Modelling programming languages – appropriate tools?" Journal of Economic and Social Measurement 29, no. 1-3 (2004): 321–37. http://dx.doi.org/10.3233/jem-2004-0198.

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Smith, David Canfield. "Building personal tools by programming." Communications of the ACM 43, no. 8 (2000): 92–95. http://dx.doi.org/10.1145/345124.345157.

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Tippmann, Sylvia. "Programming tools: Adventures with R." Nature 517, no. 7532 (2014): 109–10. http://dx.doi.org/10.1038/517109a.

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MORIARTY, K. J. M., and T. TRAPPENBERG. "PROGRAMMING TOOLS FOR PARALLEL COMPUTERS." International Journal of Modern Physics C 04, no. 06 (1993): 1285–94. http://dx.doi.org/10.1142/s0129183193001002.

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Although software tools already have a place on serial and vector computers they are becoming increasingly important for parallel computing. Message passing libraries, parallel operating systems and high level parallel languages are the basic software tools necessary to implement a parallel processing program. These tools up to now have been specific to each parallel computer system and a short survey will be given. The aim of another class of software tools for parallel computers is to help in writing or rewriting application programs. Because automatic parallelization tools are not very succ
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Lipps, H., and G. A. Erskine. "Programming tools for linear algebra." ACM SIGNUM Newsletter 20, no. 3 (1985): 50–53. http://dx.doi.org/10.1145/1057947.1057952.

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Powers, Kris, Paul Gross, Steve Cooper, et al. "Tools for teaching introductory programming." ACM SIGCSE Bulletin 38, no. 1 (2006): 560–61. http://dx.doi.org/10.1145/1124706.1121514.

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Vassilev, V., A. Deyanov, V. Djambov, and M. Kitchovitch. "Software Tools for Nonlinear Programming." IFAC Proceedings Volumes 23, no. 8 (1990): 403–7. http://dx.doi.org/10.1016/s1474-6670(17)51949-7.

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Dissertations / Theses on the topic "Programming tools"

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Yang, Shih-min. "Using programming tools in virtual environments." Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/7414.

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Bibliography: leaves 108-115.<br>Presence is the sense of being in the computer-generated environment. It is regarded as the key to understanding the success of a virtual environment. In this research we focus on desktop virtual environment authoring tools. We believe that presence is also important in authoring tools because with greater presence, people can enjoy the process of building virtual environments and increase the task performance. The type of desktop virtual environment authoring tool we are interested in is represented best by Alice. It allows novice users, who do not have knowle
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Tan, Roy Patrick. "Programming Language and Tools for Automated Testing." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28684.

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Software testing is a necessary and integral part of the software quality process. It is estimated that inadequate testing infrastructure cost the US economy between $22.2 and $59.5 billion. We present Sulu, a programming language designed with automated unit testing specifically in mind, as a demonstration of how software testing may be more integrated and automated into the software development process. Sulu's runtime and tools support automated testing from end to end; automating the generation, execution, and evaluation of test suites using both code coverage and mutation analysis. Sulu i
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Toyn, I. "Exploratory environments for functional programming." Thesis, University of York, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377289.

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Price, James Richard. "Tools and techniques for programming many-core architectures." Thesis, University of Bristol, 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.752798.

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Capotondi, Alessandro <1983&gt. "Programming models and tools for many-core platforms." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7630/4/Capotondi_Alessandro_tesi.pdf.

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The negotiation between power consumption, performance, programmability, and portability drives all computing industry designs, in particular the mobile and embedded systems domains. Two design paradigms have proven particularly promising in this context: architectural heterogeneity and many-core processors. Parallel programming models are key to effectively harness the computational power of heterogeneous many-core SoC. This thesis presents a set of techniques and HW/SW extensions that enable performance improvements and that simplify programmability for heterogeneous many-core platforms.
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Capotondi, Alessandro <1983&gt. "Programming models and tools for many-core platforms." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7630/.

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The negotiation between power consumption, performance, programmability, and portability drives all computing industry designs, in particular the mobile and embedded systems domains. Two design paradigms have proven particularly promising in this context: architectural heterogeneity and many-core processors. Parallel programming models are key to effectively harness the computational power of heterogeneous many-core SoC. This thesis presents a set of techniques and HW/SW extensions that enable performance improvements and that simplify programmability for heterogeneous many-core platforms.
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Merriam, Nicholas Andrew Van Ness. "Tools for algebraic program transformation." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281687.

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Guest, S. P. "Software tools for dialogue design." Thesis, De Montfort University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372851.

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Antipova, Ekaterina. "Advanced mathematical programming tools for alternative energy systems design." Doctoral thesis, Universitat Rovira i Virgili, 2013. http://hdl.handle.net/10803/124102.

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The goal of this thesis is to provide a systematic mathematical decision-support tool for the design of energy systems. Nowadays the society is becoming increasingly conscious about ecological problems originated by anthropogenic factors. In response to this situation, the authorities are taking measures with the purpose to restrict the actual and further environmental load related to human activity. Here, energy efficiency and renewable energies play an important role. Particularly, one of the measures with considerable potential is the retrofit of standard industrial processes through the in
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Valente, Patrick. "Software tools for the investigation of stochastic programming problems." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270578.

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Books on the topic "Programming tools"

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Foster-Johnson, Eric. UNIX programming tools. M&T Books, 1997.

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PC Software Interest Group (Sunnyvale, Calif.), ed. Programming tools shareware. Windcrest/McGraw-Hill, 1992.

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1948-, Pace Larry, ed. Logic tools for programming. Delmar Publishers, 1987.

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Bhatele, Abhinav, David Boehme, Joshua A. Levine, Allen D. Malony, and Martin Schulz, eds. Programming and Performance Visualization Tools. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17872-7.

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Smid, Peter. CNC programming handbook: A comprehensice guide to practical CNC programming. 3rd ed. Industrial Press, 2008.

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Smid, Peter. CNC programming handbook: A comprehensive guide to practical CNC programming. Industrial Press, 2000.

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Wolff, Terris B. Microcomputer productivity tools. Boyd & Fraser Pub. Co., 1990.

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Krar, Stephen F. CNC: Technology and programming. Gregg Division, McGraw-Hill, 1990.

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Torné, Jorge F. How parallel programming tools are used. Cornell Theory Center, Cornell University, 1994.

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1951-, Eisenbach S., ed. Functional programming: Languages, tools, and architectures. E. Horwood, 1987.

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Book chapters on the topic "Programming tools"

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Sheu, Phillip C. Y. "Programming Tools." In Software Engineering and Environment. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5907-8_6.

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Bräunl, Thomas. "Programming Tools." In Embedded Robotics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05099-6_2.

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Rothwell, William “Bo.” "Debugging Tools." In Pro Perl Programming. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5605-3_9.

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Dillon, Sean, Christopher Beck, Thomas Kyte, Joel Kallman, and Howard Rogers. "Tuning Tools." In Beginning Oracle Programming. Apress, 2002. http://dx.doi.org/10.1007/978-1-4302-5370-9_19.

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Monogan, James E. "Additional Programming Tools." In Use R! Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23446-5_11.

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Vu, Quang Hieu, Mihai Lupu, and Beng Chin Ooi. "P2P Programming Tools." In Peer-to-Peer Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03514-2_8.

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Haslwanter, Thomas. "Useful Programming Tools." In Hands-on Signal Analysis with Python. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57903-6_12.

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Garfinkel, Simson L., and Michael K. Mahoney. "NeXTSTEP Development Tools." In NeXTSTEP™ PROGRAMMING. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-9275-0_2.

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Newmarch, Jan. "User-Level Tools." In Linux Sound Programming. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2496-0_2.

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Koranne, Sandeep. "Parallel Programming." In Handbook of Open Source Tools. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7719-9_12.

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Conference papers on the topic "Programming tools"

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Régin, Florian, and Elisabetta De Maria. "Generative Constraint Programming Revisited." In 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2024. https://doi.org/10.1109/ictai62512.2024.00012.

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"Visual programming tools." In 2008 IEEE Symposium on Visual Languages and Human-Centric Computing. IEEE, 2008. http://dx.doi.org/10.1109/vlhcc.2008.4639071.

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Beck, K. "Extreme Programming." In Proceedings of TOOLS Europe '99: Technology of Object Oriented Languages and Systems. 29th International Conference. IEEE, 1999. http://dx.doi.org/10.1109/tools.1999.779100.

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Robert, Y. "Programming methodologies and tools." In Proceedings Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing. IEEE, 2003. http://dx.doi.org/10.1109/empdp.2003.1183600.

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Piteira, Martinha, Carlos Costa, and Samir R. Haddad. "Educational computer programming tools." In the Workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2316936.2316947.

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Powers, Kris, Paul Gross, Steve Cooper, et al. "Tools for teaching introductory programming." In the 37th SIGCSE technical symposium. ACM Press, 2006. http://dx.doi.org/10.1145/1121341.1121514.

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Adams, Alexander T., and Celine Latulipe. "Survey of audio programming tools." In CHI '13 Extended Abstracts on Human Factors in Computing Systems. ACM Press, 2013. http://dx.doi.org/10.1145/2468356.2468495.

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Hutchinson, Hilary. "Session details: Programming and tools." In IDC06: 5th International Conference on Interaction Design and Children. ACM, 2006. http://dx.doi.org/10.1145/3244520.

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Petricek, Tomas. "Tools for open, transparent and engaging storytelling." In Programming '17: International Conference on the Art, Science, and Engineering of Programming. ACM, 2017. http://dx.doi.org/10.1145/3079368.3079382.

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Tolmach, Andrew. "Session details: Semantic tools." In ICFP07: ACM SIGPLAN International Conference on Functional Programming. ACM, 2007. http://dx.doi.org/10.1145/3259050.

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Reports on the topic "Programming tools"

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Bixby, Robert E. Linear Programming Tools for Integer Programming. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada219013.

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Cuny, Janice E. Graphics-Based Parallel Programming Tools. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada254406.

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Bixby, Robert. Linear-Programming Tools in Integer Programming: The Traveling Salesman. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada261398.

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Gropp, W., and B. Smith. Users manual for the Chameleon parallel programming tools. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10191159.

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Valero Lara, Pedro, William Godoy, Keita Teranishi, and Hartwig Anzt. S4PST: Sustainability for Programming Systems and Tools Workshop Report. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2474777.

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Wei, Wenbin, Nigel Blampied, and Raajmaathangi Sreevijay. Evaluation, Comparison, and Improvement Recommendations for Caltrans Financial Programming Processes and Tools. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2058.

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The California Transportation Improvement Program System (CTIPS) is the main tool used by Caltrans’ Division of Financial Programming to support the business of transportation programming. It is a multi-agency joint-use project programming database system applied to develop and manage various state and federal transportation programming documents. The goal of this project is to evaluate CTIPS and explore various new options that will maintain the current functionality of CTIPS, meet legislative guidelines for ADA compliance, ensure security of the system, and have sufficient scalability and ca
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Igumenov, Aleksandr, and Jevgenijus Marinuškinas. Block Programming vs Codding: The Benefits and Drawbacks. Vilnius Business College, 2024. http://dx.doi.org/10.57005/ab.2024.1.6.

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The demand for creating diverse programs is increasingly prominent in the computer market and the flourishing realm of mobile devices. Furthermore, mobile phones have become essential work tools and are extensively used in various activities, including work, entertainment, education, IoT. Consequently, there is a growing need for modern, versatile, and efficient tools to facilitate the creation of such programs. Presently, this issue is particularly relevant as the development of these programs primarily relies on programmers with specialized education and experience who possess the requisite
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Khan, Mahreen. Lessons from Adaptive Programming. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.142.

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The aim of adaptive programming (AP) is to produce adaptive, flexible, iterative, responsive, problem-driven, politically smart, locally led programmes which are effective and efficient and meet donor requirements for accountability. This is a rapid desk review of recent literature on AP including academic and grey sources. Section 2 covers the main challenges and barriers to successful implementation of AP. Key success factors are covered in Section 3. Selecting the appropriate monitoring and evaluation tools such as outcome harvesting or adapted versions of Value for Money to assist in measu
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McCormack, Caitilin, Steve Jennings, and Linda Kenni. Gender and LGBTQI+ Policy and Programming in Vanuatu: Opportunities, challenges, capacity, and tools for change. Oxfam, 2020. http://dx.doi.org/10.21201/2020.6508.

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In 2016 the government of Vanuatu introduced a National Gender Equality Policy. A second phase of the policy will be implemented in 2020–2024. Insights from key informants working on gender in Vanuatu reveal that there have been some positive developments in the first policy phase. A number of challenges remain, however, including limited capacity in a number of key institutions, and resistance to progress caused by prevailing conservative and patriarchal values and beliefs in Vanuatu. In the absence of other legal instruments for LGBTQI+/SOGI equality, perspectives vary on whether this aspect
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Rodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0003982.

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The COVID-19 pandemic has shown that bioinformatics--a multidisciplinary field that combines biological knowledge with computer programming concerned with the acquisition, storage, analysis, and dissemination of biological data--has a fundamental role in scientific research strategies in all disciplines involved in fighting the virus and its variants. It aids in sequencing and annotating genomes and their observed mutations; analyzing gene and protein expression; simulation and modeling of DNA, RNA, proteins and biomolecular interactions; and mining of biological literature, among many other c
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