Predictive models in software engineering: Challenges and opportunities

Y Yang, X **a, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Metaheuristic algorithms in optimizing deep neural network model for software effort estimation

MS Khan, F Jabeen, S Ghouzali, Z Rehman… - Ieee …, 2021 - ieeexplore.ieee.org
Effort estimation is the most critical activity for the success of overall solution delivery in
software engineering projects. In this context, the paper's main contributions to the literature …

Ensemble effort estimation with metaheuristic hyperparameters and weight optimization for achieving accuracy

A Yasmin, W Haider Butt, A Daud - Plos one, 2024 - journals.plos.org
Software development effort estimation (SDEE) is recognized as vital activity for effective
project management since under or over estimating can lead to unsuccessful utilization of …

Genetic algorithm based probabilistic model for agile project success in global software development

M Shameem, M Nadeem, AT Zamani - Applied Soft Computing, 2023 - Elsevier
Software development organizations implement agile methods in global software
development (GSD) to leverage benefits in terms of low development cost, continuous …

Multi-label classification to predict antibiotic resistance from raw clinical MALDI-TOF mass spectrometry data

CA Astudillo, XA López-Cortés, E Ocque… - Scientific Reports, 2024 - nature.com
Antimicrobial resistance (AMR) poses a significant global health challenge, necessitating
advanced predictive models to support clinical decision-making. In this study, we explore …

[HTML][HTML] Genetic model-based success probability prediction of quantum software development projects

MA Akbar, AA Khan, M Shameem… - Information and Software …, 2024 - Elsevier
Context Quantum computing (QC) holds the potential to revolutionize computing by solving
complex problems exponentially faster than classical computers, transforming fields such as …

Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta‐Heuristic Algorithmic Approach

CA ul Hassan, MS Khan, R Irfan, J Iqbal… - Computational …, 2022 - Wiley Online Library
Effective software cost estimation significantly contributes to decision‐making. The rising
trend of using nature‐inspired meta‐heuristic algorithms has been seen in software cost …

Risk assessment in new software development projects at the front end: a fuzzy logic approach

MY Hsieh, YC Hsu, CT Lin - Journal of Ambient Intelligence and …, 2018 - Springer
New software development (NSD) has inherent complexity, uncertainty, and risk. Risk
analysis and mitigation is perhaps the most critical activity in an NSD project, yet such risk …

6G secure quantum communication: a success probability prediction model

MA Akbar, AA Khan, S Hyrynsalmi, JA Khan - Automated Software …, 2024 - Springer
The emergence of 6G networks initiates significant transformations in the communication
technology landscape. Yet, the melding of quantum computing (QC) with 6G networks …

Systems thinking in software projects-an artificial neural network approach

ZM Mitrović, AM Rakićević, MM Mihić… - IEEE …, 2020 - ieeexplore.ieee.org
The authors discuss why the current conceptual base of project management research and
practice continues to attract criticism since it does not adequately address the complexity …