derhan/semantic-scholar-manajemen-proyek huggingface dataset:
A Hierarchical Software Quality Model for Estimating Function Point Analysis
Authors: Bassem Matalkah; Nadeem El-Adaileh; Moaath Hajaya
Year: 2025

Research indicates that the method of scaling software according to the quantity of business functions an application needs to complete is called function point analysis (FPA). As a result, a model that guarantees the quality attributes of such systems is required. An information system's functional size can be determined using the Function Point Analysis (FPA) approach. While there are several quality methodologies now in use for estimating FPA in general, none of them are specifically focused on Hierarchical Task Analysis (HTA). This contribution includes a study of an analysis carried out on multiple approaches for different function points: ISO/IEC 20926:2003 International Function Point Users Group (IFPUG), ISO/IEC 20968:2002 Software engineering Mk II Function Point Analysis, ISO/IEC 19761:2011 Common Software Measurement International Consortium (COSMIC), and ISO/IEC 29881:2010 Functional Size Measurement method (FiSMA 1.1). The study also lists the drawbacks of the current methodologies, including their propensity to overlook specific Non-Functional Requirements (NFR) features like Accuracy, Security, Time Behavior, and Recoverability or their omission of a description of the methods used for quality measurement. This investigation leads to the development of a new software quality model that includes newly defined sets of sub-characteristics that are associated with a standard set of quality characteristics that are acceptable for estimating FPA components. The new software quality model matches the right kind of stakeholders with related quality attributes, avoiding some of the drawbacks of the previous approaches. The Software Quality Model (SQM) aims to help companies with the process of creating systems for Function Point Analysis (FPA) estimation, which is essential to the success of Software Project Management (SPM).
The rise and fall of the Chaos report figures
Authors: J. Eveleens; C. Verhoef
Year: 2010

This paper presents the chaos report figures that are often used to indicate problems in application software development project management, the reports contain major flaws.
THE IMPACT OF PMO ACTIVITIES ON INDICATORS OF TIME AND SCOPE IN FINANCIAL ORGANIZATION
Authors: Andressa Ferreira de Oliveira Sousa; S. Barbalho
Year: 2025

Objectives: The present work investigates the PMO's monitoring role on a financial organization's projects to identify the project office's impact on them. This study stresses the performance of the scope and time on the project portfolio. 
  
Theoretical Framework: Project offices are structures that aim to improve organizational project management in a company. Theoretically, an organizational project office is adopted to get better project results and indicators and contribute to the company's strategic objectives. However, evidence regarding these results and their drivers is rare. 
  
Method: This research used a case study method. It characterized the company, the PMO, and the projects implemented. Data from the project portfolio were analyzed, and interviews and direct and indirect observations were carried out. 
  
Results and Discussion: Both qualitative and quantitative analyses complemented and corroborated the same result, affirming the positive impact of the PMO's presence in the projects since all data demonstrated considerably higher achievement on the planned scopes and time frames. 
  
Research Implications: Despite being a primary responsibility for project managers, this study evidences that PMO implementation is associated with good scope and time results. As our study has focused on a financial institution, managers in these organizations may consider using a PMO to achieve project scope and time. 
  
Originality/Value: Some scientific literature has stated that PMOs have good results on project performance, but they do not identify which performance area is achieved on these improvements. Other articles point to good results on cost performance but a weak impact on time and no impact on scope performance. The present research identifies an effective impact of supportive and controller PMOs on project scope, which can be better investigated in future research efforts.
Editorial
Authors: A. Dale
Year: 2005

75 Journal of Information Science, 31 (2) 2005, p. 75 © CILIP, DOI: 10.1177/0165551505050784 We have a rich mixture of topics in this issue, reflecting the breadth of our field. The first paper by Chang and Lee explores the challenge of searching data streams. These are increasingly a feature of modern day information delivery, in many areas taking over from traditional static information sources. This paper considers low level data streams but the principles could easily be applied to information streams increasingly being broadcast across the web. Our second paper from Gillard and Johansen continues Gillard’s previous work on information communication, in this case exploring communications in information resources project management. It is clear that the effectiveness of many projects depends as much on specialized communications techniques as on the information systems design work. Bill Service continues this theme in his paper on a ‘Communications Quotient’, an empirical improvable measure of communications skill. The work has echoes of Daniel Goleman’s emotional intelligence, another empirical tool that has had huge impact in the business world. Jeffrey James’ piece on the ‘Global Digital Divide’ brings us back to earth, recognizing that information and communications technologies are not universally available to individuals across the world – leading to the concept of the so called digital divide. James points out that this focus on individual access doesn’t take into account the many innovative approaches taken in the developing world to providing telecentre Internet access. Christopher Yang’s paper focuses on searching across peer to peer networks and explores the differences in search engine and end user behaviour as compared with the world wide web. With peer to peer networks now accounting for a significant proportion of band width usage on the Internet a deeper understanding of these networks is essential. Ashok Jashapara provides us with a thought provoking and potentially controversial perspective on the relationship between information science and knowledge management. He argues that information science has a much stronger role to play in the development of the field – helping the constituent disciplines to be integrated more effectively. Our Research in Action piece from Pai and Lee looks at the emerging field of information architecture and the need for a more integrated and strategic approach to information architecture design in the business world. Information architecture is still a fragmented field and attempts to provide a stronger framework are welcomed. The journal welcomes submissions from across the world and on all topics related to theoretical and applied information science.
Review Kapasitas Daya Dukung Dan Tinjauan Waktu Pelaksanaan Bore Pile Pada Pembangunan Jembatan Jalan Bebas Hambatan Binjai Pangkalan Brandan
Authors: Y. Saragi; Humisar Pasaribu; T. Saragi; J. Simanjuntak; Bartholomeus Hutagalung; Salomo Simanjuntak
Year: 2023

In the Sei Wampu Bridge work project, Binjai Pangkalan Brandan carried out bore pile foundation installation work at the A2 foundation point with a total of 21 piles. Review of the bearing capacity of bore pile foundations using Analysis from Meyerhof (1956) and the Converse-Labarre Formula method for the calculation of pile group efficiency. The time of completion of work based on the time schedule plan is 125 calendar days. This research conducted a review using the Critical Chain Project Management (CCPM) method to obtain time efficiency, so that the project can be carried out on time. 
From the results of analysis and discussion, it was obtained that the largest foundation carrying capacity was the result of laboratory data using method C. Significant differences in results were obtained, especially laboratory data due to the correlation value used in each method. The result of calculating the bearing capacity of the foundation based on the method of Luciano Decourt (1987) using N-SPT data is 287,600.76 kN; Meyerhof's (1956) method using N-SPT data is 265,062.68 kN; a combination of Meyerhof's method (1976), Vesic's method (1977); the combination of the Vesic method (1977), the Coyle and Castello method (1981) and the results of foundation carrying capacity analysis using the All Pile program is 41,159.85 kN. 
The Critical Chain Project Management method is defined as the longest chain of interrelated events, where the linkage lies in the work or resources that are interconnected with each other, by cutting 50% of the duration of the work and replacing it as a buffer. The time comparison obtained from the calculation results using the CCPM method obtained a time efficiency of 116 days with a work time difference of 7.2% or about 9 days from the existing duration of the previous 125 days, while to compare the results of the CCPM method, calculations were carried out based on realization for 97 days, where the realization results were smaller than using the CCPM method and time schedule plan. 
Keywords : Bore pile, Carrying capacity, Time review
Emergency Project Management Decision Support Algorithm for Network Public Opinion Emergencies Based on Time Series
Authors: Gaohuizi Guo; Cuiyou Yao; Mehrdad Shoeibi
Year: 2022

The present study aims at proposing a time series-based network public opinion emergency (NPOE) management decision support algorithm for the problems of low decision accuracy and long decision time in traditional similar algorithms. In this proposed algorithm, after the time series data are preprocessed, the association rules of the original indicator data of network public opinion emergencies (NPOEs) are mined, the original indicator data matrix of NPOEs will be constructed, and the improved local linear embedding approach will be employed to obtain the original indicator data of NPOEs. After carrying out the preprocessing according to the preprocessing results, the objective weight of the emergency decision index is calculated through the interval value fuzzy information entropy measurement of the emergency decision index, the emergency management decision support model is constructed, and the emergency management decision support of the NPOE is realized. The simulation experiment results show that the proposed algorithm has a better effect on the decision-making effect of the management of NPOEs, and a higher decision-making efficiency is achieved.
An Exploratory Study of Game-based M-learning for Software Project Management
Authors: A. Chua; Radhika Shenoy Balkunje
Year: 2012

Given that the virtues of m-learning have not yet been fully exploited in teaching Software Project Management (SPM), this paper embarks on a timely endeavour to explore the use of game-based m-learning for SPM by introducing a game called Mobile Application for Project management LEarning (MAPLE). A total of 55 graduate students were invited to participate in the evaluation study carried out for the MAPLE application. The evaluation was based on three design principles derived from the literature, namely, motivation, gaming and learning. Based on the preliminary evaluation, three major observations could be culled. One, game-based m-learning is a useful and an entertaining augmentation to traditional learning. Two, design principles namely motivation, gaming and learning and their appropriate blending is necessary to develop an effective m-learning game. Finally, appealing features in MAPLE are risk alerts, avatar creation and feedback.
Task Duration Estimation
Authors: Ryen W. White; Ahmed Hassan Awadallah
Year: 2019

Estimating how long a task will take to complete (i.e., the task duration) is important for many applications, including calendaring and project management. Population-scale calendar data contains distributional information about time allocated by individuals for tasks that may be useful to build computational models for task duration estimation. This study analyzes anonymized large-scale calendar appointment data from hundreds of thousands of individuals and millions of tasks to understand expected task durations and the longitudinal evolution in these durations. Machine-learned models are trained using the appointment data to estimate task duration. Study findings show that task attributes, including content (anonymized appointment subjects), context, and history, are correlated with time allocated for tasks. We also show that machine-learned models can be trained to estimate task duration, with multiclass classification accuracies of almost 80%. The findings have implications for understanding time estimation in populations, and in the design of support in digital assistants and calendaring applications to find time for tasks and to help people, especially those who are new to a task, block sufficient time for task completion.
Training and Support Practices and Insights in the Sustainability of mHealth Implementations in Sub-Saharan Africa
Authors: D. Babirye; Richard Anderson
Year: 2024

We conducted an interview-based study to understand the training and support practices and insights that influence sustainable implementations of mHealth projects of varying mHealth technologies. The qualitative assessment was inspired by the Consolidated Framework for Implementation Research adapted with the recommended questions for guiding the implementation of training programs. Participants in the study (N=16) were both international and in-country researchers managing projects in Sub-Saharan Africa. We chose to focus on training and support as it is often the interface between international and in-country components of these projects. Participants agreed on the central role of training in the implementation of mHealth projects and are following best practices. There was often a division in the responsibility of training between international and in-country researchers reflecting the distinction between project management and local implementation adaptions. One of the main findings is the importance of individualized continuous retraining to make deployments robust with respect to changing conditions with technology and personnel, an aspect that has been managed a bit differently with varying mHealth technologies as we present.
Agent-based simulation of trust networks and opportunistic behaviours of hydraulic infrastructure project participants
Authors: Jiaqi Lv; Xiang Wang; Yaoyao Chen
Year: 2025

Opportunistic behaviour has become a research hotspot in hydraulic infrastructure project management owing to its serious damage to the cooperation efficiency of all participants in a project. The trust networks formed by each participant can restrain opportunistic behaviour, but due to the dynamic evolution of the networks, its research should adopt a dynamic paradigm. The structure and evolution of trust networks can be simulated using computer simulations and modelling. This study explores the influence mechanism of the structural characteristics of trust networks on the diffusion of opportunistic behaviour. The results show that trust network density has a positive effect on inhibiting the implementation tendency of opportunistic behaviour. However, the centralisation of trust networks has a negative correlation with the degree of inhibition of opportunistic behaviour.
UCSD Center for Drug Discovery Innovation: Resourcing and Educating Scientists and Students for Academic Discovery Translation
Authors: V. Feher; M. Gilson; Thomas Hermann
Year: 2016

The Center for Drug Discovery Innovation, CDDI, enables translation of novel biological and technology discoveries through facilitating connections between scientists and engineers with different translational expertise, educational seminars and training opportunities, and a number of new UCSD‐based Resource Centers. Here we present details on our Resource Centers. The Center for Compound Resources provides unique natural product libraries developed at the Scripps Institute of Oceanography and other small molecule entities synthesized at UCSD. The UCSD Drug Development Pipeline Core provides preclinical small molecule in vitro ADME property assessment, snapshot PK and PD assay development. The Center for Translational Drug Design offers a menu of early discovery support activities ranging from expert state‐of‐the‐art computational chemistry, access to software and database tools, grant writing support and lead to IND project management. Together these Cores allow faculty at UCSD and UC‐wide to leverage their discoveries to development stages and/or pharmaceutical partnership.
Ameliorating Metaheuristic in Optimization Domains
Authors: S. Madan; Mamta Madan
Year: 2009

Metaheuristic algorithms, such as genetic algorithms and simulated annealing, are search techniques that are inspired by nature. They aim to avoid a problem encountered by traditional search techniques such as hill climbing - the danger of getting stuck at a local optimum. Many achieve this by adding a stochastic element, such as the ability to accept a move from a candidate solution to one that appears worse. Metaheuristic algorithms have been applied to a wide range of optimization. Solutions to project management problems can be managed by applying search techniques. This paper aims to explore if metaheuristic can be applied in project management domain to get optimal results
Managing the software process with a software process improvement tool in a small enterprise
Authors: I. García; C. Pacheco; Eloy Mendoza; J. Calvo-Manzano; G. Agustín; Tomás San Feliu Gilabert
Year: 2012

Top‐down process improvement approaches provide a high‐level model of what the process of a software development organization should be. Such models are based on the consensus of a designated working group on how software should be developed or maintained. They are very useful in that they provide general guidelines on where to start improving, and in which order. However, the majority of them have only worked in scenarios within large companies. We aim to help small software development organizations to adopt an iterative approach by providing a Process Improvement Web‐based Tool (SysProVal). This paper presents research into the proposal that a small organization may use this tool to define and implement a set of project management practices that can be strengthened using the CMMI‐DEV 1.2 model as reference. Copyright © 2010 John Wiley & Sons, Ltd.
A hybrid grey-based k-means and genetic algorithm for project selection
Authors: A. T. Eshlaghy; F. F. Razi
Year: 2015

Research and development (R&D) project selection is an important function for organisations with R&D project management. Project portfolio managers are preferred a portfolio of projects with multiple attribute criteria. So, project portfolio selection problem is a decision making process. This paper presents an integrated framework for project selection and project management approach using grey-based k-means and genetic algorithms. The proposed approach of this paper first cluster different projects based on k-means algorithm and then ranks R&D projects by grey relational analysis (GRA) model. In this paper, project allocation is selected by genetic algorithm (GA). The proposed framework is tested in a case study to show its usefulness and applicability in practice.
Combining multi-agent model, SOA and ontologies in a distributed and interoperable architecture to manage multi-site production projects
Authors: B. Archimède; M. Memon; K. Ishak
Year: 2017

Today, production projects are often achieved by multi-site production and the associated markets become more and more dynamic and service oriented. In this context, the multi-site project management is a difficult task, which has to take into account not only the decision distribution and the information confidentiality, but also the heterogeneity existing between different production management systems used by partners. The generic planning model SCEP (supervisor, customer, environment, producer) based on multi-agent technology offers a well-adapted solution to the decision distribution and information confidentiality in project management. SCEP was integrated with ontological mechanisms and SOA (service-oriented architecture) components in a new architecture Semantic-SCEPSOA, which makes it possible to achieve a distributed and interoperable management of multi-site production projects. In the case of two sites managed by two different planning software applications, the semantic interoperability effectiveness is shown within the S-SCEPSOA architecture.
Cybersecurity Transformation: Cyber-Resilient IT Project Management Framework
Authors: Samir Al-Janabi; Haidar Jabbar; Francis Syms
Year: 2024

In response to the escalating threats of cybersecurity attacks and breaches, ensuring the development and deployment of secure IT products has become paramount for organizations in their cybersecurity transformation. This work emphasizes the critical need for a comprehensive and secure IT project management life cycle that safeguards products from their initial development stages through decommissioning. The primary objective is to seamlessly integrate security considerations into every facet of IT project management life cycles. This work embraces a cyber-resilient IT project management framework and advocates the inclusion of cybersecurity measures in IT projects and their strategic, organized, continuous, and systematic integration throughout the entire product life cycle. It introduces a pioneering framework that harmonizes the cybersecurity risk management process with the IT project management life cycle. This framework delineates a methodical sequence of steps, each encompassing a distinct set of activities. The effectiveness and practical applicability of the proposed framework were validated through a comprehensive case study focused on the Personal Health Record (PHR) system. The PHR case study served as a real-world scenario to assess the framework’s ability to address cybersecurity challenges in a specific domain. The results of the experiment demonstrated the framework’s efficacy in enhancing the security posture of IT projects, showcasing its adaptability and scalability across diverse applications.
Application of expert systems in civil engineering
Authors: Ena Grčić; Marija Šperac
Year: 2024

Expert systems represent “IF-THEN” algorithms that integrate human expert knowledge to solve complex problems. This area of research focuses on finding solutions to challenging situations that are often difficult to resolve using traditional methods. Expert systems have widespread applications in the field of construction. The paper presents some of these applications, including their use in building maintenance, inspection of water and sewage systems, geotechnical engineering, road maintenance, and the selection of appropriate construction materials. Artificial neural networks are effective in optimizing financial plans, estimating the duration of activities, assessing the productivity of work teams, and selecting contractors. Genetic algorithms find their application in resource allocation, selecting optimal solutions for task scheduling and project costs, as well as in building maintenance, while fuzzy logic aids in risk analysis, project management, and cost estimation. Expert methods can be integrated into information systems to provide consistent information necessary for the effective management of construction projects. A review of published papers on the application of expert methods in construction shows that these methods are already significantly represented across all sectors of the construction industry, but also indicates that there are still substantial opportunities for their future application.