derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Improving Supervisory Consultant Performance in Construction Projects: Assessments in the LKPP's SIKaP Application for Enhanced Efficiency
Authors: Yudha Pracastino Heston; Mariana Wulandari; Robi Fernando
Year: 2024

This article focuses on enhancing the performance of supervisory consultants in construction projects through assessments conducted in the LKPP's SIKaP application. Supervision plays a crucial role in ensuring the smooth execution of construction activities and addressing potential obstacles. The quality and safety of construction operations have become increasingly important, necessitating effective supervision. The article highlights the importance of conducting assessments to measure the success of supervisory consultants in meeting project objectives and adhering to established standards. It emphasizes the evaluation of various performance criteria, including human resources, equipment, materials, costs, time, and quality. The assessment process enables the identification of strengths and weaknesses, facilitating corrective measures and improving future performance. The article also emphasizes the interconnectedness of construction supervision and project management, with project management playing a pivotal role in achieving project goals. Communication management is highlighted as a crucial aspect for effective project execution. The regulatory framework governing technical supervision activities in construction projects is discussed, along with the roles and responsibilities of construction management and construction supervision service providers. The article emphasizes the importance of on-site inspections, project administration, progress monitoring, and quality management in construction supervision. Lastly, the article discusses the evaluation of providers' performance in goods/services procurement, emphasizing the importance of quality, cost efficiency, and adherence to standards. The implementation of the SIKaP application is seen as a means to enhance transparency, accountability, and project quality in the construction industry, fostering a culture of continuous improvement and industry benchmarking.
Algorithm Realization of a Stochastic Network Resource Mega-Project Management Model
Authors: N. Plyaskina
Year: 2016

An algorithm random drawing of construction schedule network stochastic model resource megaproject. Selects the implementation of the model with the maxi-mum profit per unit of investments at specified deadlines and limited resources.
Exploring the Factors Affecting the Elemental Cost Estimation with Relationship Analysis Using AHP
Authors: A. Mahjoob; Mervat Raziq Wali; Hiba Akram Atyah
Year: 2016

Cost estimation is considered one of the important tasks in the construction projects management. The precise estimation of the construction cost affect on the success and quality of a construction project. Elemental estimation is considered a very important stage to the project team because it represents one of the key project elements. It helps in formulating the basis to strategies and execution plans for construction and engineering.  Elemental estimation, which in the early stage, estimates the construction costs depending on  . minimum details of the project so that it gives an indication for the initial design stage of a project. This paper studies the factors that affect the elemental cost estimation as well as the relation between these factors using Analytic Hierarchy Process (AHP) method. Final conclusions and recommendations were extracted for better elemental estimation accuracy in project management.
Real to Real: Deriving Software Development Practices from Film Production Principles
Authors: Barry Hawkey; Marie Vans
Year: 2024

Software development projects face significant risks of going over budget, over schedule, and of failing to deliver expected benefits. These risks have endured despite methodological changes within the industry, such as the rise in popularity of Agile. This research looks outside of the software industry and seeks inspiration from film production, which has developed different management strategies to address challenges similar to those faced by software development projects.First, an analysis of film production project management reveals four principles, each evidenced by a set of practices used throughout the industry. Next, we identify sets of practices that would enable software development projects to also align to those same four principles. The synthesis of each principle from its set of supporting film production practices is then validated through structured interviews with veteran film producers. Lastly, the derivation of each principle to a parallel set of supporting practices within the context of software development is validated in a second series of interviews with experienced software development project managers.In total, this research identifies a set of software development project management practices that mirror film production practices. These practices offer a framework for software development project managers to consider when seeking to tailor existing methodologies, particularly in scenarios that present challenges similar to those encountered in film production.
Design Structure Matrix Extensions and Innovations: A Survey and New Opportunities
Authors: Tyson R. Browning
Year: 2016

The design structure matrix (DSM), also called the dependency structure matrix, has become a widely used modeling framework across many areas of research and practice. The DSM brings advantages of simplicity and conciseness in representation, and, supported by appropriate analysis, can also highlight important patterns in system architectures (design structures), such as modules and cycles. A literature review in 2001 cited about 100 DSM papers; there have been over 1000 since. Thus, it is useful to survey the latest DSM extensions and innovations to help consolidate progress and identify promising opportunities for further research. This paper surveys the DSM literature, primarily from archival journals, and organizes the developments pertaining to building, displaying, analyzing, and applying product, process, and organization DSMs. It then addresses DSM applications in other domains, as well as recent developments with domain mapping matrices (DMMs) and multidomain matrices (MDMs). Overall, DSM methods are becoming more mainstream, especially in the areas of engineering design, engineering management, management/organization science, and systems engineering. Despite significant research contributions, however, DSM awareness seems to be spreading more slowly in the realm of project management.
A robust scheduling for the multi-mode project scheduling problem with a given deadline under uncertainty of activity duration
Authors: H. Moradi; S. Shadrokh
Year: 2018

The problem of this paper deals with the multi-mode project scheduling problem under uncertainty of activity duration where only the renewable resources are taken into account and a given deadline has to be met at the cost of recruiting additional resources. A heuristic algorithm is employed to solve this problem, and to maintain the robustness of the baseline schedule, the concept of critical chain project management (CCPM) is applied in which a new definition to resource buffer is considered. A simulation methodology is used to determine the size and location of resource buffers in the schedules in which three different buffer sizes and three different uncertainty levels are considered. Results and analysis of the simulation outcomes illustrate that resource buffers are useful and should be simulated by the CCPM schedules, as they help to decrease the total duration of the project during implementation and meet the deadline of the project with more assurance.
Reliability of two-stage weighted-k-out-of-n systems with components in common
Authors: Yong Chen; Qingyu Yang
Year: 2005

This paper extends the existing one-stage weighted-k-out-of-n model to two-stage weighted-k-out-of-n models with components in common. Algorithms are developed to calculate the system reliability, and generate the minimal cuts & minimal paths of two-stage weighted-k-out-of-n systems. Reliability bounds for systems with s-dependent component failures are investigated based on the generated minimal cuts & minimal paths. Two types of two-stage weighted-k-out-of-n models, the SW-k-out-of-n model, and the PW-k-out-of-n model, can be applied to investigate reliability issues in network applications, such as the project management, and the shortest path problems. Examples are provided to demonstrate the developed models & algorithms.
The Only Constant Is Change
Authors: F. Shull
Year: 2013

IEEE Software editor-in-chief Forrest Shull discusses the magazine's recent editorial board meeting and some of the discussions the group had about where software development is headed, including refactoring and reengineering, technical debt, measurement, cloud computing, user experiences, and effective project management. In addition, he describes the recent Software Experts Summit 2013, which focused on smart data science and the International Conference on Software Engineering's Software Engineering in Practice award, selected by IEEE Software. The first Web extra at http://youtu.be/BRioqQenavA is a video interview in which John Howie of the Cloud Security Alliance expands on his talk at Software Experts Summit 2013 "Big Data: Answering Questions and Solving Society's Problems, but at What Cost?" The second Web extra at http://youtu.be/6jm8mZTQsnw is a video interview in which Microsoft's James Whittaker expands on his talk at Software Experts Summit 2013 (SES13) about the future of the Web and search. The third Web extra at http://youtu.be/aCypdSuCDQs is a video interview in which IEEE Software editor in chief Forrest Shull speaks with Jane Cleland-Huang of DePaul University about the Software Engineering in Practice Award at the International Conference on Software Engineering 2013, presented by IEEE Software.
WEKA - Experiences with a Java Open-Source Project
Authors: R. Bouckaert; E. Frank; M. Hall; G. Holmes; Bernhard Pfahringer; P. Reutemann; I. Witten
Year: 2010

WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software's functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project.
Intelligent System of Internet of Things-Oriented BIM in Project Management
Authors: Jingjing Chen
Year: 2023

At present, edge computing is more and more widely used in the development process of various industries. With the stable development of social industrial structure, the development scale of enterprises is gradually expanding, the project production cycle is getting longer and longer, and the project information and project elements are also getting more and more. Under the traditional project management mode, the project elements are independent from each other, the participants are difficult to interact, and the information content is relatively dispersed, which has seriously hindered the improvement of the efficiency and level of enterprise project management. The emergence of intelligent the BIM (building information modeling) project management system provides technical support for the realization of the overall project management objectives, but there are still large limitations in actual use, mainly reflected in the poor flexibility of attraction and error prone. In order to solve the dilemma of enterprise project management, based on the analysis of the characteristics of project management and the functional requirements of the system, this article proposes an intelligent system of BIM in project management oriented to the internet of things. In order to verify the effectiveness of the system, this article conducts system tests from the aspects of project management efficiency, system security, and user experience. The results show that the average intelligent system error level of internet of things-oriented BIM in project management is about 0.310. It can be seen from this result that, on the basis of internet of things technology, various project elements and information within the system have achieved effective integration and promoted the deep intelligent development of project management.
Functional Size Measurement Of Quantum Computers Software
Authors: K. Khattab; H. Elsayed; Hassan Soubra
Year: 2022

Software measurement is an effective technique for project management. It helps engineers to apply engineering concepts to software development, providing a quantitative and objective foundation for process and technology decisions. Many measurement procedures based on international standards have been proposed to obtain the functional size of software. Some of the proposed procedures are automated to minimize measurement variance caused by individual interpretations. However, all of the proposed procedures are focused on ’classical computer’ Software, and none addressed Quantum Computer Software. Based on the COSMIC-ISO 19761, and with functional requirements implemented in Qiskit, this paper presents a functional size measurement (FSM) procedure for Quantum Computer Software. The mapping of essential concepts in both Qiskit and COSMIC, as well as the establishment of mapping rules for obtaining the information held in the Qiskit programs that is necessary for measurement, are the foundations of the FSM approach proposed in this paper. Consequently, this procedure provides the foundation for automating the measurement of Quantum Computer Software expressed in Qiskit.
Integration of Artificial Intelligence Applications and Knowledge Management Processes for Construction Projects Management
Authors: Meervat R. Altaie; Marwa M. Dishar
Year: 2024

Artificial intelligence systems have gained access to various scientific and research fields, especially in the construction industry. The study seeks to confirm the vital role of introducing Knowledge Management (KM) integrated with Artificial intelligence (AI) applications in the projects. It requires qualifying engineers and imposing their current qualifications to achieve the benefits of Integration of AI Applications based on KM processes to perform their professional roles and recognize the need to develop their capabilities through training and development. The field survey was intended only for 85 engineers working on construction projects (public and private sectors). Three axes were clarified to allocate the extent of the sample response and determine the benefits of using the KM process and AI applications for the success of construction projects. The results showed a positive relationship between the demographic variables of the response and the benefit of using the KM process and AI applications and explaining the variance in the regression relationships. Therefore, the study suggests integrating AI applications based on the KM process to achieve business goals and effectively benefit and exchange management, as its use leads to faster and more effective decision-making, especially if the project strategy approves it. Doi: 10.28991/CEJ-2024-010-03-06 Full Text: PDF
osfr: An R Interface to the Open Science Framework
Authors: A. Wolen; C.H.J. Hartgerink; R. Hafen; Brian Richards; C. Soderberg; T. York
Year: 2020

Reproducible research requires effective project management workflows that promote consistency and facilitate transparency. Hallmarks of effective workflows include strategies for tracking the provenance of results, recording intermediate changes, conveniently documenting procedures, and working with collaborators without duplicating effort (Sandve, Nekrutenko, Taylor, & Hovig, 2013). For technically skilled researchers, the combination of version control software (VCS) such as git and cloud-based project repositories (e.g., GitHub and GitLab) enable highly effective workflows (Ram, 2013) that facilitate automation and computational reproducibility. However, these tools have a steep learning curve, especially for researchers whose training is far removed from software development. Alternatively, the Open Science Framework (OSF) offers much of the same functionality through an intuitive point-and-click web-based interface, significantly lowering the barrier to adopting best practices for researchers of all skill levels, or research groups composed of individuals with different levels of computational expertise (Sullivan, DeHaven, & Mellor, 2019). Yet the increase in accessibility comes at the cost of limiting opportunities for automation. osfr fills this gap for R users by allowing them to programmatically interact with OSF through a suite of functions for managing their projects and files.
Scrummi: Um processo de gestão ágil baseado no Scrum e aderente ao CMMI
Authors: A. S. C. Marçal; E. Furtado
Year: 2010

Software development organizations that have been employing capability maturity models such as CMMI for improving their processes are now increasingly interested in the possibility of adopting agile development methods. This research embraced the challenge of analyzing the adherence of Scrum to CMMI practices for definition of an agile project management process, called Scrummi, built from an extension of the Scrum to be compliant with the CMMI project management process areas. The Scrummi was applied in a project of a CMMI level 3 company showing that agility and maturity can be applied together. Through Scrummi improvements were achieved related to increase in productivity, high commitment and development of project team. Resumo .
Integrity and Ethics in Scientific Research: What's the Problem?
Authors: Mário Fresta
Year: 2023

It discusses what constitutes the problem of Integrity and Ethics in Scientific Research worldwide and, in particular, what challenge it poses to FUNDECIT in Angola, based on its Statute, literature and press reports. Research produces scientific knowledge which, ever since, and even more so in the modern information/global knowledge society, is the basis of the economy and development. Good practices in the application of the scientific method, integrity, ethics and deontology make it possible to permanently obtain reliable and relevant knowledge. Bad practices, on the other hand, corrupt the system by introducing potentially wrong knowledge, waste resources, and create unfair competition. Thus, all actors in science (researchers, research groups, research and development institutions, funding agencies and global organizations) must promote training and education, policies and practices that are honest and pro-ethical. FUNDECIT's Statute advocates “respecting ethical standards, with a view to protecting and ensuring integrity” and promoting training in project management. Although medicine, bioethics, the environment, and other areas have their specificities, no investigation dispenses with integrity and ethics. The Creating a Culture of Publication Integrity Together (https://publicationethics.org/) and Plagiarism (https://plagiarism.org/), the Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals websites (https://www.icmje.org/icmje -recommendations.pdf), and the BMJ Scientific Misconduct (https://www.bmj.com/abou0tbmj/ resourcesauthors/formspoliciesandchecklists/scientificmisconduct) deal with this matter. The challenge publish or perish cannot be done at the expense of integrity, ethics and truth. As Mia Couto says, “you have to show that it pays to be honest” (https://www.geledes.org.br/discurso-proferido-por-mia-couto-ao-receber-o-titulo-doutor-honoriscausa-pela-universidade-politecnica-de-maputo/).
Enabling digital growth through continuous education of project managers: A framework for collaborative, complementary, sustained, and simultaneous learning in software engineering organizations
Authors: Srđan Atanasijević; Monika Zahar; Dejan Rančić; Ivan Vulić; Tatjana Atanasijević
Year: 2023

Introduction/purpose: This paper introduces a novel PMO EDUCT framework that encompasses Collaborative, Complementary, Sustained, and Simultaneous learning explicitly tailored for the dynamic landscape of software engineering. This paper contributes to the ongoing discourse on education and professional development in the digital era by illuminating the challenges faced, the framework developed, and the measurable outcomes achieved. The presented framework underscores the need for agility, adaptability, and a relentless pursuit of knowledge as fundamental tenets for success in an ever-evolving landscape. Methods: Focusing on a large software engineering organization, this study explores the multifaceted aspects of project management education, methodology enhancement, and team optimization. The proposed methodology combines qualitative and quantitative approaches to explore the educational process area in a global organization and generate a flexible and measurable framework to improve corporate knowledge growth. The framework aims to provide learners the most flexibility about learning paths, schedules, collaboration, and best practice exchange while guaranteeing proper alignment with frequent market changes and emerging PM skills. Results: Findings indicate that personalised, continuous learning, facilitated through collaborative environments and custom-tailored content, yields significant benefits. Through analysis of key performance indicators (KPIs), this study showcases improved project onboarding, enhanced team collaboration, and the cultivation of a culture of innovation. Conclusion: This paper presents the PMO EDUCT framework that organizations can use to create a learning culture and empower their employees to succeed in the constantly evolving field of software development. By adopting collaborative, complementary, sustained, and simultaneous learning principles, organizations can develop a workforce with the essential skills of critical thinking, collaboration, and adaptability necessary for success in the digital era.
TeamTat: a collaborative text annotation tool
Authors: R. Dogan; Dongseop Kwon; Sun Kim; Zhiyong Lu
Year: 2020

Manually annotated data is key to developing text-mining and information-extraction algorithms. However, human annotation requires considerable time, effort and expertise. Given the rapid growth of biomedical literature, it is paramount to build tools that facilitate speed and maintain expert quality. While existing text annotation tools may provide user-friendly interfaces to domain experts, limited support is available for figure display, project management, and multi-user team annotation. In response, we developed TeamTat (https://www.teamtat.org), a web-based annotation tool (local setup available), equipped to manage team annotation projects engagingly and efficiently. TeamTat is a novel tool for managing multi-user, multi-label document annotation, reflecting the entire production life cycle. Project managers can specify annotation schema for entities and relations and select annotator(s) and distribute documents anonymously to prevent bias. Document input format can be plain text, PDF or BioC (uploaded locally or automatically retrieved from PubMed/PMC), and output format is BioC with inline annotations. TeamTat displays figures from the full text for the annotator's convenience. Multiple users can work on the same document independently in their workspaces, and the team manager can track task completion. TeamTat provides corpus quality assessment via inter-annotator agreement statistics, and a user-friendly interface convenient for annotation review and inter-annotator disagreement resolution to improve corpus quality.