An efficient Bayesian network model (BNM) for software risk prediction in design phase development

T Khan, M Faisal - International Journal of Information Technology, 2023 - Springer
The primary purpose of a software risk assessment is to predict risks and vulnerabilities that
may exist in each phase of the software development life cycle (SDLC). Risk factors have a …

Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements

B Khan, R Naseem, I Alam, I Khan, H Alasmary… - IEEE …, 2022 - ieeexplore.ieee.org
Risk prediction is the most sensitive and critical activity in the Software Development Life
Cycle (SDLC). It might determine whether the project succeeds or fails. To increase the …

[PDF][PDF] Ensemble Model for Network Intrusion Detection System Based on Bagging Using J48

MM Otoom, KNA Sattar, M Al Sadig - Advances in Science and …, 2023 - bibliotekanauki.pl
Technology is rising on daily basis with the advancement in web and artificial intelligence
(AI), and big data developed by machines in various industries. All of these provide a …

[PDF][PDF] Comparing machine learning techniques for software requirements risk prediction

YP Vera, ÁF Del Carpio - Indonesian Journal of Electrical …, 2024 - researchgate.net
Software requirements are the most critical phase focused on documenting, eliciting, and
maintaining the stakeholders' requirements. Risk identification and analysis are preemptive …

A Fine Tuned Ensemble Approach to Classify Requirement from User Story

A Tasnim, N Akhter, KMA Ali - 2023 26th International …, 2023 - ieeexplore.ieee.org
The manual classification process in software requirement Specification (SRS) has several
challenges, including subjectivity, time commitment, and the possibility of mistakes and …

Test Case Generation from Quality Attribute Scenarios Using Machine Learning Approach

A Worku, E Alemneh, Y Assefa… - … on Information and …, 2023 - ieeexplore.ieee.org
Identifying testable quality attribute scenarios (QASs) and generating test cases is
challenging due to subjectivity, complexity, interdependency, and lack of well-defined …

[引用][C] SOFTWARE RISK PREDICTION AT REQUIREMENT AND DESIGN PHASE: AN ENSEMBLE MACHINE LEARNING APPROACH

A YIBELTAL - 2023