Abstract
This article is the result of research in terms of risk management in the implementation of software development projects. In the conditions of active digitalization of the economy and the growth of both the number and budgets of projects in the software industry, this study is relevant. The article provides a detailed comparative analysis of existing methods and tools for project risk management, the authors define the comparison criteria and scale. To take into account the industry features of it projects, especially in the early stages of implementation, the authors propose a comprehensive approach, which includes an assessment of the cost and complexity of projects. There was also built a cognitive map of risks of software development projects. Twenty projects of different scale and type, including projects on development of technical documentation, on completion of already ready solutions were evaluated. The most accurate and significant results were achieved in the framework of projects for the development of reporting documentation. At the same time, the complexity of the project Manager involved in the calculation of risks and cost and complexity, decreased by 3 times. Author acknowledges support from the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Standish Group 2015 chaos report. http://blog.standishgroup.com/post/50. Accessed 03 Dec 2018
CHAOS summary 2009 report. https://www.classes.cs.uchicago.edu/archive/2014/fall/51210-1/required.reading/Standish.Group.Chaos.2009.pdf. Accessed 03 Dec 2018
Avdoshin SM (2011) Business informatization. Risk management. DMKPress, Moscow
Lebedeva AV (2017) Methods of risk identification in software projects. In: New information technologies in scientific research: materials of the XXII all-Russian scientific and technical conference of students, young scientists and specialists. Ryazan State Radio Engineering University, Ryazan, pp 42–44
Lebedeva AV (2017) Risk factors in software development projects. In: Education and science: based on the materials of the international scientific-practical conference №11-5(27), pp 72–74. Journal of scientific conferences, Tambov
Samsonovich AV, Kuznetsova K (2018) Semantic-map-based analysis of insight problem solving. Biol Inspired Cogn Arch 25:37–42
Kulinich AA (2010) Computer cognitive map modeling systems. Control Sci 3:2–16
Gray SA et al (2013) Mental modeler: a fuzzy-logic cognitive mapping modeling tool for adaptive environmental management. In: 2013 46th Hawaii international conference on System sciences (HICSS). IEEE, pp 965–973
Carvalho JP, Tomè JAB (1999) Rule based fuzzy cognitive maps-fuzzy causal relations. In: Mohammadian M (ed) Computational intelligence for modelling, control and automation
Kireev VS, Smirnov IS, Tyunyakov VS (2018) Automatic fuzzy cognitive map building. Procedia Comput Sci 123:228–233
Lebedeva AV (2018) Algorithm of risk response formation in software development projects based on neural network. In: New information technologies in scientific research: materials of the XXIII all-Russian scientific and technical conference of students, young scientists and specialists. Ryazan State Radio Engineering University, Ryazan, pp 236–238
Acknowledgements
This work was supported by the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Lebedeva, A.V., Guseva, A.I. (2020). Cognitive Maps for Risk Estimation in Software Development Projects. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-25719-4_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25718-7
Online ISBN: 978-3-030-25719-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)