Developing a risk assessment model for banking software development projects based on rough-grey set theory

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tooraj Karimi ◽  
Yalda Yahyazade

PurposeRisk management is one of the most influential parts of project management that has a major impact on the success or failure of projects. Due to the increasing use of information technology in all fields and the high failure rate of software development projects, it is essential to predict the risk level of each project effectively before starting. Therefore, the main purpose of this paper is proposing an expert system to infer about the risk of new banking software development project.Design/methodology/approachIn this research, the risk of software developing projects is considered from four dimensions including risk of cost deviation, time deviation, quality deviation and scope deviation, which is examined by rough set theory (RST). The most important variables affecting the cost, time, quality and scope of projects are identified as condition attributes and four initial decision systems are constructed. Grey system theory is used to cluster the condition attributes and after data discretizing, eight rule models for each dimension of risk as a decision attribute are extracted using RST. The most validated model for each decision attribute is selected as an inference engine of the expert system, and finally a simple user interface is designed in order to predict the risk level of any new project by inserting the data of project attributesFindingsIn this paper, a high accuracy expert system is designed based on the combination of the grey clustering method and rough set modeling to predict the risks of each project before starting. Cross-validation of different rule models shows that the best model for determining cost deviation is Manual/Jonson/ORR model, and the most validated models for predicting the risk of time, quality and scope of projects are Entropy/Genetic/ORR, Manual/Genetic/FOR and Entropy/Genetic/ORR models; all of which are more than 90% accurateResearch limitations/implicationsIt is essential to gather data of previous cases to design a validated expert system. Since data documentation in the field of software development projects is not complete enough, grey set theory (GST) and RST are combined to improve the validity of the rule model. The proposed expert system can be used for risk assessment of new banking software projectsOriginality/valueThe risk assessment of software developing projects based on RST is a new approach in the field of risk management. Furthermore, using the grey clustering for combining the condition attributes is a novel solution for improving the accuracy of the rule models.

Kybernetes ◽  
2018 ◽  
Vol 47 (7) ◽  
pp. 1435-1455 ◽  
Author(s):  
Tooraj Karimi ◽  
Mohammad Reza Sadeghi Moghadam ◽  
Amirhosein Mardani

Purpose This paper aims to design an expert system that gets data from researchers and determines their maturity level. This system can be used for determining researchers’ support programs as well as a tool for researchers in research-based organizations. Design/methodology/approach This study focuses on designing the inference engine as a component of an expert system. To do so, rough set theory is used to design rule models. Various complete, discretizing and reduction algorithms are used in this paper, and different models were run. Findings The proposed inference engine has the validity of 99.8 per cent, and the most important attributes to determine the maturity level of researchers in this model are “commitment to research” and “attention to research plan timeline”. Research limitations/implications To accurately determine researchers’ maturity model, solely referring to documents and self-reports may reduce the validation. More validation could be reached through using assessment centers for determining capabilities of samples and observations in each maturity level. Originality/value The assessment system for the professional maturity of researchers is an appropriate tool for funders to support researchers. This system helps the funders to rank, validate and direct researchers. Furthermore, it is a valid criterion for researchers to evaluate and improve their abilities. There is not any expert system to assess the researches in literature, and all models, frameworks and software are conceptual or self-assessment.


2018 ◽  
Vol 16 (5) ◽  
pp. 734-749
Author(s):  
Xueliang Zhang ◽  
Meixia Wang ◽  
Binghua Zhou ◽  
Xintong Wang

Purpose Because of the properties of loess, the occurrence of collapse following deformation of a large settlement is a common problem during the excavation of tunnels on loess ground. Hence, risk management for safer loess tunnel construction is of great significance. The purpose of this paper is to explore the influence of factors on collapse risk of loess tunnels and establish a risk assessment model using rough set theory and extension theory. Design/methodology/approach The surrounding rock level, groundwater conditions, burial depth, excavation method and support close time were selected as the factors and settlement deformation was the verification index for risk assessment. First, using rough set theory, the influence of risk factors on the collapse risk of loess tunnels was calculated by researching engineering data of excavated sections. Then, a collapse risk assessment model was developed based on extension theory. As the final step, the model was applied to practical engineering in the Loess Plateau of China. Findings The weights of surrounding rock level, groundwater conditions, burial depth, excavation method and support close time obtained using rough set theory were respectively 10.811 per cent, 18.919 per cent, 24.324 per cent, 40.541 per cent and 5.406 per cent. The assessment results obtained using the model were in good agreement with field observations. Originality/value This study highlights key points in collapse risk management of loess tunnels, which could be very useful for future construction methods. The model, using easily obtained parameters, helps in predicting the collapse risk level of loess tunnels excavated under different geological conditions and by different construction organizations and provides a reference for future studies.


2019 ◽  
Vol 12 (3) ◽  
pp. 327-343 ◽  
Author(s):  
Karyna Trostianska ◽  
Ilona Semencha

Purpose This paper aims to provide appropriate and effective methods for diagnosing and managing the reputational risk of a bank. Design/methodology/approach Using the data-mining system CONFOR, the authors have defined and arranged in the objective way the factors influencing the reputational risk level of a bank, with specific factor groups assigned. The mathematical tools of the theory of graphs and cognitive mapping are used for building the cognitive map of reputational risk assessment of a bank. To enable choosing which risk management strategies to use, the methods of impulse modeling and scenario analysis are applied for the purpose of prognostication. Findings The authors proposed an integrated approach to the objective determination of the reputational risk level and an easy-to-use choice of risk management scenarios considering all components of management decision making and the main managerial functions. Practical implications The range of tools proposed can be used as a simple measure of the bank's reputational risk level, as a component of risk management model, and as a strategic risk management tool. Implementing this approach at the level of the central bank will facilitate realization of its strategic program for restoring confidence in the banking system as a whole. Originality/value A relatively greater objectivity in the reputational risk assessment of the bank was achieved, with each stage formalized and confirmed by an economic and mathematical basis, risk parameters quantified. The authors have developed a comprehensive approach to the reputational risk level assessment (the integral assessment included) as well as the management algorithm.


Author(s):  
Vadim B. Alekseev ◽  
Nina V. Zaitseva ◽  
Pavel Z. Shur

Despite wide legislation basis of regulating relations in work safety and workers’ health, one third of workplaces demonstrate exceeded allowable normal levels of workers’ exposure to occupational hazards and present occupational risk for health disorders.In accordance to national legislation acts, evaluation should cover factors of occupational environment and working process, and occupational risk is understood in context of mandatory social insurance. This approach has been formed due to mostly compensatory trend in legal principles of work safety in Russia by now. Implementation of new preventive concept of work safety, based on idea of risk management for workers, necessitates development of legal acts that regulate requirements to evaluation of occupational risk and its reports with consideration of changes in Federal Law on 30 March 1999 №52 FZ “On sanitary epidemiologic well-being of population”.Those acts can include Sanitary Rules and Regulations “Evaluation of occupational risk for workers’ health”, that will contain main principles of risk assessment, requirements to risk assessment, including its characteristics which can serve as a basis of categorizing the risk levels with acceptability.To standardize requirements for informing a worker on the occupational risk, the expediency is specification of sanitary rules “Notifying a worker on occupational risk”. These rules should contain requirements: to a source of data on occupational risk level at workplace, to informational content and to ways of notifying the worker. Specification and implementation of the stated documents enable to fulfil legal requirements completely on work safety — that will provide preservation and increase of efficiency in using work resources.


2021 ◽  
Vol 43 (4) ◽  
pp. 113-124
Author(s):  
D.V. Saveliev ◽  

The article defines the concept of threat model. Described a list of current security guidelines for the development and administration of web systems. Formed the list of cybersecurity threats, the consequences of their implementation are determined. Described the process of forming a model of cybersecurity threats of web systems. Defined the list of threats based on the recommendations and experience of authoritative organizations in the world and Ukraine. Defined the concepts of risk, risk index and risk status for the security of web systems. Defined the main principles of risk management in software development projects.


2017 ◽  
Vol 10 (4) ◽  
pp. 880-896
Author(s):  
Helena Merikoski ◽  
Paula Savolainen ◽  
Jarmo J. Ahonen

Purpose The purpose of this paper is to present a life cycle phase of a software development project which is substantial for the success of the project. This paper visualizes the project start-up phase from suppliers’ perspective. Design/methodology/approach The method is a theory building from case studies. The data were collected from three software supplier firms by conducting process modeling separately in each firm. Findings The study resulted in a model of a supplier’s software project start-up which includes start-up practices and involved roles. The results indicate that project start-up is an integral and structured phase of project life cycle, which influences the execution of a software development project, especially from the supplier’s perspective in the project business context. Research limitations/implications The study focuses on the start-up phase of software development projects delivered to external customers. Therefore, developed project start-up model is applicable as such in software supplier firms. Practical implications The project start-up model presented in this paper indicates that project start-up is a complex and multi-dimensional activity in a supplier firm. This study suggests that if the project start-up phase is clearly defined, planned and followed in a supplier firm, it reduces confusion and miscommunication among the people involved in the project and helps to achieve the business goals of a project. Originality/value This study emphasizes that it is necessary to make a distinction between the perspectives of the customer and the supplier when studying projects in the project business context. The findings contribute the new knowledge for managing outsourced software development projects.


Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 461-473 ◽  
Author(s):  
Sun Bingzhen ◽  
Ma Weimin

Purpose – The purpose of this paper is to present a new method for evaluation of emergency plans for unconventional emergency events by using the soft fuzzy rough set theory and methodology. Design/methodology/approach – In response to the problems of insufficient risk identification, incomplete and inaccurate data and different preference of decision makers, a new model for emergency plan evaluation is established by combining soft set theory with classical fuzzy rough set theory. Moreover, by combining the TOPSIS method with soft fuzzy rough set theory, the score value of the soft fuzzy lower and upper approximation is defined for the optimal object and the worst object. Finally, emergency plans are comprehensively evaluated according to the soft close degree of the soft fuzzy rough set theory. Findings – This paper presents a new perspective on emergency management decision making in unconventional emergency events. Also, the paper provides an effective model for evaluating emergency plans for unconventional events. Originality/value – The paper contributes to decision making in emergency management of unconventional emergency events. The model is useful for dealing with decision making with uncertain information.


2017 ◽  
Vol 25 (1) ◽  
pp. 4-6 ◽  
Author(s):  
Atul Arun Pathak

Purpose The paper aims to describe the innovative learning culture, practices and processes at ThoughtWorks India (TWI), a software application development company in India. These practices support continual learning and development at the level of employees, project teams and the entire organization. Design/methodology/approach The paper draws upon the unique case of TWI. It describes the need for continual learning at TWI. It then describes how the organization has promoted a culture of continual learning on an individual, team and organizational level. It explains how the learning practices and processes aligns to the project level and organizational goals. Findings Because of the complex and difficult nature of software development projects that TWI takes up regularly, it needs its employees to be at the cutting edge of technological skills and know-how. If this was to be attempted through formal training programs, it would turn out to be extremely expensive and inefficient way of learning for TWI. Instead, TWI relies on on-the-job-learning. It does so through a variety of innovative work practices that are described in the paper. It also achieves its learning goals through a culture that supports continual learning and development of employees. Practical implications The learning related practices, processes and mechanisms used at TWI can be emulated by companies in the software development industry. This will ensure that employees learn and develop their skill-sets all the time and remain at the cutting edge of technological developments. This will help organizations pitch for and successfully deliver difficult and complex software development projects that add very high value to their clients. Social implications The social implications of the approach followed by TWI are positive. Employees are motivated to improve themselves every day. They understand the need for doing so. Also, they appreciate the fact that TWI supports continual learning and development. Knowledge sharing among employees is encouraged through the practices followed almost daily in projects. Originality/value The paper considers a unique set of learning and development practices, processes and mechanisms in TWI, a software development company in India.


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