[HTML][HTML] Software risk prediction: systematic literature review on machine learning techniques

MH Mahmud, MTH Nayan, DMNA Ashir, MA Kabir - Applied Sciences, 2022 - mdpi.com
The Software Development Life Cycle (SDLC) includes the phases used to develop
software. During the phases of the SDLC, unexpected risks might arise due to a lack of …

Do performance aspirations matter for guiding software configuration tuning? an empirical investigation under dual performance objectives

T Chen, M Li - ACM Transactions on Software Engineering and …, 2023 - dl.acm.org
Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …

Solutions for Software Requirement Risks Using Artificial Intelligence Techniques

U Rahamathunnisa, P Subhashini… - … of Research on Data …, 2023 - igi-global.com
Software projects have a very high probability of failure, and a major reason for this is a poor
requirement engineering process. Requirement elicitation and documentation are the …

Ecg classification using deep transfer learning

MK Gajendran, MZ Khan… - 2021 4th International …, 2021 - ieeexplore.ieee.org
The state-of-the-art deep neural networks trained on a large amount of data can better
diagnose cardiac arrhythmias than cardiologists. However, the requirement of the high …

[HTML][HTML] Software requirement risk prediction using enhanced fuzzy induction models

H Mamman, AO Balogun, S Basri, LF Capretz… - Electronics, 2023 - mdpi.com
The development of most modern software systems is accompanied by a significant level of
uncertainty, which can be attributed to the unanticipated activities that may occur throughout …

[HTML][HTML] Empirical assessment of machine learning techniques for software requirements risk prediction

R Naseem, Z Shaukat, M Irfan, MA Shah, A Ahmad… - Electronics, 2021 - mdpi.com
Software risk prediction is the most sensitive and crucial activity of Software Development
Life Cycle (SDLC). It may lead to the success or failure of a project. The risk should be …

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] Implementation of naïve bayes method in food crops planting recommendation

T Setiadi, F Noviyanto, H Hardianto, A Tarmuji… - Int. J. Sci. Technol …, 2020 - academia.edu
In recent years the erratic weather changes have led to various polemics. Indonesia as an
agricultural country with a large part of the population earning a living in agriculture feels …

[PDF][PDF] Abmj: An ensemble model for risk prediction in software requirements

MM Otoom - Ijcsns, 2022 - researchgate.net
Due to the rising complexity of software projects, it is quite difficult to predict the risk in
software requirements which is the most profound and essential activity in SDLC. It may lead …

[HTML][HTML] Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

Z Shaukat, W Zafar, W Ahmad, IU Haq, G Husnain… - Healthcare, 2023 - mdpi.com
The intricate and multifaceted nature of diabetes disrupts the body's crucial glucose
processing mechanism, which serves as a fundamental energy source for the cells. This …