Relacionando Conceitos de Áreas de Estudo de Desempenho da Ciência da Computação
Abstract
There are several areas of computer science whose main point of study is the performance of computer systems, whether for the construction of software with performance as to estimate the performance of systems. Examples of such areas are: Performance Evaluation, Software Performance Engineering, Software Performance Testing and Experimental Studies. However, there is no work in the literature that unifies or even lists the concepts and methodologies they raised. In this context, this paper describes how these areas can be related, and this study will provide the basis for the definition of an ontology.
References
Cortellessa, V. (2005). How far are we from the definition of a common software performance ontology? In Proceedings of the 5th international workshop on Software and performance, pages 195–204. ACM.
Freitas, A. and Vieira, R. (2014). An ontology for guiding performance testing. In Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 01, pages 400–407. IEEE Computer Society.
Jain, R. (1991). The art of computer system performance analysis: techniques for experimental design, measurement, simulation and modeling. New York: John Willey.
Sancho, P. P., Juiz, C., Puigjaner, R., Chung, L., and Subramanian, N. (2007). An approach to ontology-aided performance engineering through nfr framework. In Proceedings of the 6th international workshop on Software and performance, pages 125–128. ACM.
Smith, C. U. (1986). The evolution of software performance engineering: a survey. In Proceedings of 1986 ACM Fall joint computer conference, pages 778–783. IEEE Computer Society Press.
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., and Wesslén, A. (2012). Experimentation in software engineering. Springer.
Woodside, M., Franks, G., and Petriu, D. C. (2007). The future of software performance engineering. In Future of Software Engineering, 2007. FOSE’07, pages 171–187. IEEE.
Freitas, A. and Vieira, R. (2014). An ontology for guiding performance testing. In Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 01, pages 400–407. IEEE Computer Society.
Jain, R. (1991). The art of computer system performance analysis: techniques for experimental design, measurement, simulation and modeling. New York: John Willey.
Sancho, P. P., Juiz, C., Puigjaner, R., Chung, L., and Subramanian, N. (2007). An approach to ontology-aided performance engineering through nfr framework. In Proceedings of the 6th international workshop on Software and performance, pages 125–128. ACM.
Smith, C. U. (1986). The evolution of software performance engineering: a survey. In Proceedings of 1986 ACM Fall joint computer conference, pages 778–783. IEEE Computer Society Press.
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., and Wesslén, A. (2012). Experimentation in software engineering. Springer.
Woodside, M., Franks, G., and Petriu, D. C. (2007). The future of software performance engineering. In Future of Software Engineering, 2007. FOSE’07, pages 171–187. IEEE.
Published
2015-07-20
How to Cite
STABILLE, Rafael; BRUSCHI, Sarita; DE SOUZA, Paulo.
Relacionando Conceitos de Áreas de Estudo de Desempenho da Ciência da Computação. In: WORKSHOP ON PERFORMANCE OF COMPUTER AND COMMUNICATION SYSTEMS (WPERFORMANCE), 14. , 2015, Recife.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2015
.
p. 192-196.
ISSN 2595-6167.
DOI: https://doi.org/10.5753/wperformance.2015.10411.
