Software Risk Analysis with the use of Classification Techniques: A Review

In the field of software development, the efficient prioritizing of software risks was essential and play significant roles. However, finding a viable solution to this issue is a difficult challenge. The software developers have to adhere strictly to risk management practice because each phase of SDLC is faced with its individual type of risk rather than considering it as a general risk. Therefore, this study proposes an adaptive neuro-fuzzy inference system (ANFIS) for selection of appropriate risk factors in each stages of software development process. Existing studies viewed the SDLC’s Security risk assessment (SRA) as a single integrated process that did not offer a thorough SRA at each stage of the SDLC process, which resulted in unsecure software development. Hence, this study identify and validate the risk factors needed for assessing security risk at each phase of SDLC. For each phase, an SRA model based on an ANFIS was suggested, using the identified risk factors as inputs. For the logical representation of the fuzzification as an input and output variables of the SRA risk factors for the ANFIS-based model employing the triangular membership functions. The proposed model utilized two triangular membership functions to represent each risk factor’s label, while four membership functions were used to represent the labels of the target SRA value. Software developers chose the SRA risk factors that were pertinent in their situation from the proposed taxonomy for each level of the SDLC process as revealed by the results. As revealed from the study’s findings, knowledge of the identified risk factors may be valuable for evaluating the security risk throughout the SDLC process.

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Identification of Risk Factors Using ANFIS-Based Security Risk Assessment Model for SDLC Phases

Jimoh

Olusanya

Awotunde

et al. 2022

Future Internet

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State of Quality Engineering Practices: The Pakistan Perspective

Khan¹,

Mirza

Shahid

et al. 2020

Eng. Technol. Appl. Sci. Res.

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This study analyzes the state of quality engineering practices being exercised in the software industry of Pakistan. Statistics have been collected and analyzed to access important aspects of quality engineering including quality policy, review mechanism, quality assurance activities and practices, quality standards and models, and quality management systems. For this purpose, an elaborated questionnaire was prepared to pertain to various aspects of quality management and more than 30 software houses and software development organizations were surveyed in Islamabad and Rawalpindi. The survey results and a description of the concluding remarks are reported in this paper.

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Development of a Risk Breakdown Structure in Mega Projects based on Different Case Studies

Othman,

Jaff,

Oztas

2024

Eng. Technol. Appl. Sci. Res.

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Rapid urbanization, globalization, and population growth have led to an increase in megaprojects in recent decades. Consequently, as construction projects move forward, a wider range of risks arise. By looking into and managing risk factors in advance of their occurrence, it is vital to reduce their negative effects. In construction projects, risk management is seen as a critical procedure that helps meet project objectives in relation to schedule, budget, quality, safety, and sustainability concerns. This study aims to examine and gain a deeper understanding of project-related risks in mega projects. This study also develops a risk breakdown structure in mega projects based on a literature review. This will help project participants manage these risks in their projects properly. Another objective of this study is to examine the methodologies used in data collection for determining and categorizing risks in mega projects. Finally, it is concluded that the risk factors in mega projects can be divided into two categories: internal and external risks whereas the main risk factors in mega projects are categorized as execution, construction, technical, economic and financial, environmental, social, political, and other.

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Software Risk Analysis with the use of Classification Techniques: A Review

Cited by 3 publications

References 19 publications

Identification of Risk Factors Using ANFIS-Based Security Risk Assessment Model for SDLC Phases

Identification of Risk Factors Using ANFIS-Based Security Risk Assessment Model for SDLC Phases

State of Quality Engineering Practices: The Pakistan Perspective

Development of a Risk Breakdown Structure in Mega Projects based on Different Case Studies

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