A Fuzzy Method for qualitative analysis of risks in software development projects

Autores/as

  • Lídio Mauro Lima de Campos Universidade Federal do Pará
  • Alberto Sampaio Lima Universidade Federal do Ceará

DOI:

https://doi.org/10.20397/2177-6652/2016.v16i2.712

Palabras clave:

Gerência de projetos de software, Análise de Riscos, Lógica Fuzzy, Desenvolvimento de software.

Resumen

Organizations need an effective risk management to improve quality in project management. In this work we presented a fuzzy logic based system to execute qualitative analysis of risks, prioritizing risk monitoring, control processes and risk responses. Our main objective was to rank the risks in a software development project and measure the project´s exposure to risks, using two metrics based on fuzzy values: index of risks exposure and risk punctuations. We proceeded a case study in a software development project at an IT company, and the results indicate that our proposed fuzzy method increased the possibilities of project´s manager decision making, because of values scope assumed by linguistic variables and possible rules combination. The presented metrics improved the sensibility in detection, classification, responses planning and risks control. Our proposed method was considered useful and preferable in relation to current solutions adopted by managers. 

Biografía del autor/a

Lídio Mauro Lima de Campos, Universidade Federal do Pará

Curso de Sistemas de Informação

Alberto Sampaio Lima, Universidade Federal do Ceará

Sistemas de Informação

Citas

ALBENY, R. M., MARTINS, M. R. Medição de eficiência do gerenciamento de riscos em projetos. Revista Brasileira de Gerenciamento de Projetos. Vol. 7 – Numero 1 – Maio de 2009.

ALZINA, R. B. Metodología de la Investigación Educativa. Madrid: Editorial la Muralla., 2004.

BATHIA N., KAPOOR N. Fuzzy Cognitive Map based Approach for Software Quality Risk Analysis, anais do ACM SIGSOFT Software Engineering Notes, p. 1 v. 36 n. 6, 2011.

CARVALHO M. de; JUNIOR R. R. Construindo Competência para Gerenciar Projetos: Teoria e Casos. 2 ed 2 reimpressão. São Paulo: Atlas, 2009.

CAVALCANTI, D.C. Gestão de Riscos : Abordagem de conceitos e aplicações. Revista Brasileira de Gerenciamento de Projetos. Vol. 7 – Numero 1 – Maio de 2009.

CLELAND, David L. Project Management: Strategic Design and Implementation. New York, McGraw-Hill, 1999.

CHAPMAN, Robert J., Simple Tools and Techniques for Enterprise Risk Management, J. Wiley& Sons, 2006.

CHEN, Z. Computational Intelligence for Decision Support. New York: CRC Press LLC, 2000.

CHEN S., MUNIF A., CHEN G., KUO B., LIU H. A New Method for Fuzzy Risk Analysis Based on Ranking Generalized Fuzzy Numbers with Different Left Heights and Right Heights, anais da IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2011.

DENG Y., SADIQ R. JIANG W., TESFAMARIAM S. Risk analysis in a linguistic environment: A fuzzy evidential reasoning-based approach, Expert Systems with Applications v. 38 p. 15438–15446, 2011.

GIL, A. C. Métodos e Técnicas da Pesquisa Social. São Paulo: Editora Atlas, 1999.

GIL, A. C. Como Elaborar Projetos de Pesquisa. São Paulo: Atlas, 2001.

HILSON, D. Measuring changes in risk expousure. The Measured, v.4, n.3, p. 11-14, 2004. Disponível em hhtp:www.risk-doctor.com Acesso em 04.04.2009.

HONG D., XIAHONG Q. Evaluation Method of Software Development Risk Based on Grey Decision-making Theory, anais da International Conference on Management and Service Science (MASS), 2011.

KRAUSE W. Gerenciamento de Risco: Como garantir o sucesso dos projetos de TI?. Rio de Janeiro, 2011.

KEELLING, R. Gestão de Projetos: uma abordagem global, São Paulo: Saraiva, 2002.

LAZZERINI B., MKRTCHYAN L. Analyzing Risk Impact Factors Using Extended Fuzzy Cognitive Maps, IEEE Systems Journal, v. 5, n. 2, 2011.

LEE, H. B. Investigación del comportamiento: métodos de investigación en ciencias sociales. México: McGraw Hill., 2002.

LU S., YU S., CHANG D., SU S., Using the Fuzzy Linguistic Preference Relation Approach for Assessing the Importance of Risk Factors in a Software Development Project, Mathematical Problems in Engineering, vol. 2013, pp. 1-9, Article ID 376375.

MANALIF E., CAPRETZ L. F., NASSIF A. B., Fuzzy-ExCOM Software Project Risk Assessment, Proceedings of 11th International Conference on Machine Learning and Applications, 2012.

MATWORKS. Fuzzy Toolbox User’s Guide: for use with MATLAB. Natick, MA: The MathWorks, Inc., 2013.

MISHINA K. D. V. Modelo para avaliação qualitativa do risco em oleodutos através da lógica fuzzy segundo a metodologia da IBR, anais do 17º CBECIMat - Congresso Brasileiro de Engenharia e Ciência dos Materiais, 2006.

MUTO A., PEREIRA C., TAVEIRA B. Exame PMP: A Bíblia - Manual Para Certificação, Editora Brasport, 2008.

NIETO-MOROTE A., RUZ-VILA F. A fuzzy approach to construction project risk assessment, International Journal of Project Management , v. 29 p. 220–231, 2011.

OLIVEIRA JR., H. A., Lógica Difusa: aspectos práticas e aplicações, Rio de Janeiro, Interciência, 1999.

PENHA R., KNIESS C, T., BERGMAN B. R., BIANCOLINO C. A., Emprego de Técnicas de Gerenciamento de Riscos Técnicos em uma Empresa de Desenvolvimento de Softwares, Revista Gestão & Tecnologia, v. 14, n.1, 2014.

POKORADI L., Fuzzy logic-based risk assessment, ARRMS, v. 1, Issue 1, p. 63–73, 2002.

PROJECT MANAGEMENT INSTITUTE (PMI), PROJECT MANAGEMENT BODY OF KNOWLEDGE (PMBOK GUIDE), Pensilvânia, 2008.

ROYER, Paul S.Risk Management : The undiscovered dimension of Project Management. Project Management Journal, v.31, n.1, p.6-13, 2000.

RU W. G., ELOFF J. H. P. Risk analysis modelling with the use of fuzzy logic, Computers G Security, v. 15, n. 3. p. 239-248, 1996.

RUNERSON, P., HOST, M. Guidelines for conducting and reporting case study research in software engineering, Springer: Empiric Software Eng. ,14:31-164,DOI 10.1007, 2009.

VARGAS, R. V. Gerenciamento de Projetos: Estabelecendo Diferenciais Competitivos. 7ª Edição. Rio de Janeiro. Brasport, 2009.

WANG, Li-Xin. A Course in Fuzzy Systems and Control. New Jersey: Prentice-Hall International, Inc., 1997.

WIDEMAN, R. Max. A framework for Project and Program Management Integration. Upper Darby: Project Management Institute, 1992.

WOHLIN C., RUNERSON P., HOST, M., OHLSSON, B. R., WESSLÉN, A., Experimentation in Software Engineering - An introduction, Kluwer Academic Publishers, 2000.

WU D., DASH D., ZHANG Y., OLSON D. Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach, Information Sciences v. 235, pp. 242–258, 2013.

ZADEH, L. A., Fuzzy Logic, IEEE Transaction Comput., vol. 25., 1998.

ZIMMERMANN, H. J., Fuzzy set theory and its applications, Kluwer Boston, 2nd revised edition, 1991.

Publicado

2016-08-31

Cómo citar

de Campos, L. M. L., & Lima, A. S. (2016). A Fuzzy Method for qualitative analysis of risks in software development projects. Revista Gestão & Tecnologia, 16(2), 7–38. https://doi.org/10.20397/2177-6652/2016.v16i2.712