Desarrollo de software orientado a la creatividad
Palabras clave:
Proceso creativo, forma contextual creativa, individualidad de la solución, perspicacia, heurística de disponibilidad.Resumen
Este artículo describe los principios y una práctica para apoyar la actividad creativa individual en el desarrollo de software. Muestra cuán significativos son los medios visuales de desarrollo, mediante los cuales se complementa cualquier información insuficiente, y se reduce el impacto en la memoria a corto plazo de la persona. Se determinan las condiciones marco de una idea dominante de un factor humano creativo, a saber, experiencia personal, comodidad y disponibilidad heurística. Para fines de localización en un solo contexto de datos visuales, se propone una forma creativa y contextual que sirve para que varios elementos de información posibles se coloquen allí y se registren más, y esto da lugar a una visión creativa de otra solución. Se presenta un ejemplo de cómo se implementa dicho sistema de software y una muestra de un algoritmo desarrollado por él. Se proporciona una descripción de un modelo de software Eureka que admite la actividad de proceso creativo de un desarrollador. La novedad científica de este artículo son los principios metodológicos y una práctica para respaldar la comodidad de la creatividad individual en el desarrollo de software. En circunstancias en las que se neutralizan las pérdidas de datos y, por lo tanto, se aumenta el volumen total de información apropiada, se logra la reducción de un impacto en la memoria a corto plazo del desarrollador, lo que conduce constantemente a la aceleración de las soluciones y a la mejora de su calidad.
Descargas
Citas
Aghajani E., Bavota G., Linares-Vasquez M., Lanza M. (2019). Automated Documentation of Android Apps. IEEE Transactions on Software Engineering, accepted for publication. IEEE CS Press.
Aloimonos Y. and Fermueller C. (2015). The Cognitive Dialogue: A new model for vision implementing common sense reasoning. IMAGE AND VISION COMPUTING, 34, 42-44.
Anderson J.R. (2010). Cognitive Psychology and Its Implications. New York: Worth Publisher.
Bacchelli A., Cleve A., Mocci A., Lanza M. (2017). Mining Structured Data in Natural Language Artifacts with Island Parsing. Journal of Science of Computer Programming (SCP), Elsevier.
Baltes S., Moseler O., Beck F., Diehl S. (2015). Navigate, Understand, Communicate: How Developers Locate Performance Bugs. ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM).
Booch G. (1993). Object-Oriented Analysis and Design with Applications (2nd Edition).
Byrge C., Tang, C. (2015). Embodied creativity training: Effects on creative self-efficacy and creative production. THINKING SKILLS AND CREATIVITY. 16, 51-61.
Caracciolo A., Lungu M., Truffer O., Levitin K., Nierstrasz O. (2016). Evaluating an Architecture Conformance Monitoring Solution. IWESEP@SANER, 41-44.
Chang Yu-S., Chien Yu-H., Yu K.-C. et al. (2016). Effect of TRIZ on the creativity of engineering students. THINKING SKILLS AND CREATIVITY, 19, 112-122.
Di Caro L., Ruggeri A., Cupi L. et al. (2015). Common-Sense Knowledge for Natural Language Understanding: Experiments in Unsupervised and Supervised Settings. 14th International Conference of the Italian-Association-for-Artificial-Intelligence: ADVANCES IN ARTIFICIAL INTELLIGENCE, Book Series: Lecture Notes in Artificial Intelligence, 9336, 233-245.
Himaieva Y., Nykyforova V. (2015). Creativity and personality motivation and their interconnection as basis of graphic designers and marketing specialists' creative activity. SCIENCE AND EDUCATION, 1, 13-24.
Ji Y., Yu Y., Zhao H. et al. (2018). Verb Based Conceptual Common Sense Extraction. INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND SYSTEM, 256-260.
Kahneman D., Slovic P. and Tversky A. (1982). Judgment Under Uncertainty: Heuristics and Biases. New York: Cambridge University Press.
Lanza M. (2003). Program Visualization Support for Highly Iterative Development Environments. Proceedings of VISSOFT, 62-67.
Lanza M., Ducasse S., Gall H., Pinzger M. (2005). CodeCrawler. An information visualization tool for program comprehension. ICSE 05: 27th International Conference on Software Engineering, 672-673.
Lopes A.G. (2017). Creative Activity Mediated by Technology. Artifacts, Technology and Ideas that Could Shape Our Lives. AHFE International Conference on Human Factors and System Interactions, ADVANCES IN HUMAN FACTORS AND SYSTEMS INTERACTION. 592, 371-382.
Miller G. (1956). The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information. The Psychological Review, 63 (2), 86.
Parnas D. and Clements P. (1986). A Rational Design Process: How and Why to Fake It. IEEE Transactions on Software Engineering, Vol. SE-12(2).
Petre M. (1995). Why Looking Isn’t Always Seeing: Readership Skills and Graphical Programming, Comm. ACM. 38 (6), 33-44.
Ponomarev Y.A. (1976). Psychology of creativity. Moscow: Science, 303.
Stroustrup B. (2013). The C++ Programming Language (4th ed.). Addison-Wesley Publishing Company.
Thomas J.J. and Cook K.A. (Ed.) (2005). Illuminating the Path: The R&D Agenda for Visual Analytics Archived. 2008-09-29 at the Wayback Machine. National Visualization and Analytics Center, 30.
Tufte E.R. (2001). The Visual Display of Quantitative Information. Graphics Press, 2nd edition.
Tufte E.R. (1997). Visual Explanations. Graphics Press.
Tyagi V., Hanoch Y., Hall S.D. et al. (2017). The Risky Side of Creativity: Domain Specific Risk Taking in Creative Individuals. FRONTIERS IN PSYCHOLOGY, 8. Article Number: 145.
Wallas G. (1926). The Art of Thought. New York: Harcourt, Brace and Company.
Ware C. (2000). Information Visualization. Morgan Kaufmann.
Würfel D., Lutz R., Diehl S. (2016). Grounded requirements engineering: An approach to use case driven requirements engineering. Journal of Systems and Software.
Yeh Yu-C., Lai G.-J., Lin C. Fu et al. (2015). How stress influences creativity in game-based situations: Analysis of stress hormones, negative emotions, and working memory. COMPUTERS & EDUCATION, 81, 143-153.
Yuan Y. (2016). Creative activity as a method of organizing future music teachers' self-preparation for teaching practice. SCIENCE AND EDUCATION, 4, 21-24.
Descargas
.gif)
