A 20‐year mapping of Bayesian belief networks in software project management

ALR de Sousa, CRB de Souza, RQ Reis - IET Software, 2022 - Wiley Online Library
In recent years, more software engineering researchers have focussed on methods,
techniques, tools, and processes to support software project management (SPM) addressing …

Risk assessment modeling for knowledge based and startup projects based on feasibility studies: A Bayesian network approach

M Akhavan, MV Sebt, M Ameli - Knowledge-Based Systems, 2021 - Elsevier
The start of any business requires investment. The risks involved in this pathway are one of
the biggest barriers in each investment. Feasibility studies are one of the most common …

Software project failure process definition

A Nı̇zam - IEEE access, 2022 - ieeexplore.ieee.org
Many researchers have attempted to identify the factors behind software project failures and
their solutions from various perspectives. However, systematic and integrated process …

[PDF][PDF] Optimizing Bidders Selection of Multi-Round Procurement Problem in Software Project Management Using Parallel Max-Min Ant System Algorithm.

DN Le, GN Nguyen, H Garg, QT Huynh… - … , Materials & Continua, 2021 - academia.edu
This paper presents a Game-theoretic optimization via Parallel Min-Max Ant System
(PMMAS) algorithm is used in practice to determine the Nash equilibrium value to resolve …

Hybrid fuzzy-Bayesian decision support tool for dynamic project scheduling and control under uncertainty

P Rezakhani - International Journal of Construction Management, 2022 - Taylor & Francis
Construction projects are complex and highly uncertain due to their special characteristics.
Considering the incapability of current project scheduling methods in addressing the …

Investigating technological risks and mitigation strategies in software projects

E Dantas, AS Neto, D Valadares, M Perkusich… - Proceedings of the 37th …, 2022 - dl.acm.org
Risks are present in any software project. In particular, technological risks are complex,
volatile, and difficult to predict accurately. Despite this, the literature is scarce about such …

A novel particle swarm optimization approach to support decision-making in the multi-round of an auction by game theory

TN Bao, QT Huynh, XT Nguyen, GN Nguyen… - International Journal of …, 2020 - Springer
In this paper, game-theoretic optimization by particle swarm optimization (PSO) is used to
determine the Nash equilibrium value, in order to resolve the confusion in choosing …

Probabilistic method for managing common risks in software project scheduling based on program evaluation review technique

QT Huynh, NT Nguyen - International Journal of Information …, 2020 - igi-global.com
Project management and project scheduling are crucial to help development teams keep
track of timing as well as resource allocation. In order to manage software projects, project …

Project scheduling and performance prediction: a fuzzy-Bayesian network approach

P Rezakhani - Engineering, Construction and Architectural …, 2022 - emerald.com
Purpose Despite the extensive research in project risk management and availability of
several techniques and tools, quantifying uncertainty in project schedules remains a …

[PDF][PDF] Studi Literature Optimasi Waktu dan Biaya pada Proyek Perangkat Lunak

R Parlika, D Azizah, S Latifah, BD Hadi - Journal of Computer …, 2021 - academia.edu
Dalam pelaksanaan sebuah proyek perangkat lunak pasti membutuhkan usaha yang lebih
untuk dapat dikatakan sebuah proyek tersebut berhasil, yaitu agar pekerjaan lebih efektif …