FALC: Data Analysis Tool for Criminal Expert Reports
Abstract
The Civil Police of Minas Gerais (PCMG) uses information about the execution of expert reports to support the corporation's actions. Despite the relevance of this data in decision-making, forensics experts currently extract and manipulate data manually. This work proposes and develops an application that allows experts to obtain and analyze consolidated data on criminal expert reports with less effort. The methodological approach was the Design Science Research - DSR. The research was prescriptive and generated an artifact as a proof of concept of the system. The quantitative approach was used in the analysis of the results. The results were satisfactory, and the developed artifact reduced the problem in the real context it had been designed.
References
Arnott, D. and Pervan, G. (2012). Design science in decision support systems research: An assessment using the hevner, march, park, and ram guidelines. Journal of the Association for Information Systems, 13(11):1.
Barata, J. M. (2005). A medida da satisfação dos utilizadores finais de sistemas de informação na banca em portugal: análise e ensaio interpretativo. In XV Spanish-Portuguese Meeting of Scientific Management. Universidad de Sevilla.
Cândido, C. A., Valentim, M. L. P., and Contani, M. L. (2005). Gestão estratégica da informação: semiótica aplicada ao processo de tomada de decisão. DataGramaZero, Rio de Janeiro, 6(3):1– 16.
Carnaz, G., Beires Nogueira, V., Antunes, M., and Ferreira, N. (2020). An automated system for criminal police reports analysis. Advances in Intelligent Systems and Computing, 942:360–369.
Cavalcante, M. M., Santos, A., Ramos, A. C. P., and Hessel, A. M. D. G. (2020). Alinhamento estratégico de tecnologia de informação ao negócio e à qualidade dos serviços. Brazilian Journal of Business, 2(3):2232–2256.
Cruz, T. E. S. (2017). Data analytics para variedade de dados. PhD thesis, Universidade do Minho.
DJANGO, S. F. (2005). Meet django. https://www.djangoproject.com/.
Doll, W. J. and Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS quarterly, pages 259–274.
Filardi, A. L. and Traina, A. J. M. (2008). Montando questionários para medir a satisfação do usuário: avaliação de interface de um sistema que utiliza técnica de recuperação de imagens por conteúdo. In Embrapa Territorial-Artigo em anais de congresso (ALICE), Porto Alegre, RS, Brasil. In: SIMPÓSIO BRASILEIRO DE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS, 8 . . . .
Fry, B. J. (2004). Computational information design. PhD thesis, Massachusetts Institute of Technology.
Geerts, G. L. (2011). A design science research methodology and its application to accounting information systems research. International Journal of Accounting Information Systems, 12(2):142–151. Special Issue on Methodologies in AIS Research.
Horita, F. E., Rocha, F. G., Souza, L. S., and Gonzales, G. R. (2020). Design science in digital innovation: A literature review. In XVI Brazilian Symposium on Information Systems, SBSI’20, New York, NY, USA. Association for Computing Machinery.
Leoz, G. D. and Petter, S. (2018). Considering the social impacts of artefacts in information systems design science research. European Journal of Information Systems, 27(2):154–170.
Oyelere, S. S., Suhonen, J., Wajiga, G. M., and Sutinen, E. (2018). Design, development, and evaluation of a mobile learning application for computing education. Education and Information Technologies, 23(1):467–495.
Peffers, K., Tuunanen, T., Rothenberger, M. A., and Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3):45–77.
Purwanto and Hedin, P. D. (2020). Measurement of user satisfaction for web-base academic information system using end-user computing satisfaction method. IOP Conference Series: Materials Science and Engineering, 909(1):012044.
Ramos, R. (2014). Sistema de laudos forense computacional: uso no contexto da perícia criminalística. Bachelor’s thesis, Universidade Federal do Paraná.
Ribas, W. A., Noda, E., and Marques, D. (2018). Bigpy: um sistema web para captura, tratamento e visualização de dados de defesa do consumidor utilizando python. Trabalho de Conclusão de Curso.–Instituto Federal de Educação, Ciência e Tecnologia de São Paulo.
Wieringa, R. (2009). Design science as nested problem solving. In Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, pages 1–12, United States. Association for Computing Machinery (ACM).
Zakopcanova, K., Rehacek, M., Batrna, J., Plakinger, D., Stoppel, S., and Kozlikova, B. (2021). Visilant: Visual support for the exploration and analytical process tracking in criminal investigations. IEEE Transactions on Visualization and Computer Graphics, 27(2):881–890.
