derhan/semantic-scholar-manajemen-proyek huggingface dataset:
StoryScreen: a Traceability Visualisation Modelling Tool for User Stories and Conceptual Models
Authors: Marcela Ruiz; Carlos Olgiati
Year: 2024

Requirements and conceptual model traceability is a core software engineering activity that supports decision-making during the entire software development life cycle. With traceability data sets growing, traceability visualisation techniques that properly communicate the relevant information are imperative to ensure quality, completeness, and transparency in enterprise models and information systems. We did a comparative analysis of various graphical visualisation techniques for conceptual model traceability such as graphical graphs, tabular forms, sunbursts, etc., The findings suggest that a one-size-fits-all solution does not exist because factors such as data structure, traceability purpose, and traceability-users’ skills determine the level of detail, content, and type of traceability visualisation technique. As a proof of concept, this paper presents an approach towards a traceability visualization modelling tool named StoryScreen, which facilitates the visualisation of traces among user stories and conceptual models. StoryScreen allows users to identify missing traces and fix errors in conceptual models and user stories. StoryScreen provides a project management tool for user story-based projects, which includes various traceability visualisation techniques such as graphical graphs, tabular, and textual. We expect that StoryScreen will support traceability users in improving user stories and creating conceptual models employing traceability visualisations that are filterable and interactive.
State security regulation of the development of agro-food enterprises in the context of anti-corruption, change and project management
Authors: Svitlana Marova; O. Olshanskyi; М. Zos-kior; Sergii Mykhailov
Year: 2023

The issue of state security regulation of developing enterprises in the agro-food sector is open. It requires additional research into patterns and latent problems, particularly in anti-corruption, change, and project management. The research aims to study the state security regulation of the development of agro-food enterprises in the context of anti-corruption, change, and project management. It is substantiated that the forms of state security regulation of the agro-food sector are: determination of priority areas and objects of development, tax regulation of economic activity, regulation of investment activity through the provision of financial assistance, implementation of the appropriate credit and depreciation policy, regulation of privatization processes, regulation of forms and conditions of financial investment, examination of investment projects in the process of state investment programs. Therefore, regulating the agro-food sector's development should be considered an economic component of the adapted activities of agro-food enterprises to post-war conditions. State security regulation of the development of agro-food enterprises about the means of food self-sufficiency can be defined as the process of creating conditions for the optimal formation and placement of production capacities of the agro-food sector in the structure of the national economy to organize a sustainable supply of food resources, or as the activity of state and regional authorities to the development of state policy food supply, definition and practical application of the mechanisms of its implementation. It has been proven that it is necessary to consider the appropriate restrictions to avoid situations of counterproductive actions to ensure the development of agro-food enterprises as an element of the system of state security regulation. Awareness of the system and the principles of interaction of the system components between themselves and the environment is mandatory for successful changes, particularly in combating corruption. Therefore, limitations can also be considered a source of improvement and growth projects.
Keywords: state regulation, economic security, enterprise development, agro-food sector, anti-corruption, change management, project management.
Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network
Authors: O. S. Sani; S. Mansor; B. Kalantar; Zailani Khuzaimah; H. Shafri; N. Ueda
Year: 2021

The detection of buildings in the city is essential in several geospatial domains and for decision-making regarding intelligence for city planning, tax collection, project management, revenue generation, and smart cities, among other areas. In the past, the classical approach used for building detection was by using the imagery and it entailed human–computer interaction, which was a daunting proposition. To tackle this task, a novel network based on an end-to-end deep learning framework is proposed to detect and classify buildings features. The proposed CNN has three parallel stream channels: the first is the high-resolution aerial imagery, while the second stream is the digital surface model (DSM). The third was fixed on extracting deep features using the fusion of channel one and channel two, respectively. Furthermore, the channel has eight group convolution blocks of 2D convolution with three max-pooling layers. The proposed model’s efficiency and dependability were tested on three different categories of complex urban building structures in the study area. Then, morphological operations were applied to the extracted building footprints to increase the uniformity of the building boundaries and produce improved building perimeters. Thus, our approach bridges a significant gap in detecting building objects in diverse environments; the overall accuracy (OA) and kappa coefficient of the proposed method are greater than 80% and 0.605, respectively. The findings support the proposed framework and methodologies’ efficacy and effectiveness at extracting buildings from complex environments.
BLOCKCHAIN-BASED LEARNING MANAGEMENT SYSTEMS
Authors: V. Yalanetskyi
Year: 2023

In the context of the development of the world educational sphere, taking into account modern trends and challenges, in the context of the transformation of social services into digital forms, the actual research is the search for ideas, concepts, startups, pilot projects and features of the introduction of blockchain technology in education. The first Bitcoin blockchain was designed as an extremely secure and reliable information network for the financial sector, where the storage and transfer of value assets is the main functionality. In the field of education and educational processes, the issue of information security is most acute, since it is a question of reliable storage of activities of teachers and students. This issue is successfully solved by blockchain technology. The target of the work is to research engineering blockchain solutions published in academic cited publications. In order to achieve the target of the work, the most cited scientific publications over the past 5 years were collected and analyzed. The works in which conceptual and practical blockchain solutions aimed at improving efficiency, reliability and security in the operation of learning management systems (LMS) are highlighted. A new type of such blockchain systems in scientific papers is called blockchain learning management systems (BLMS). The research of some of the most well-known blockchain systems is divided into five of the following groups: certification of learning results; accreditation of educational programs; security of learning management systems; learning and educational projects; management of learning results and rewards. The publications reflect a number of resolved issues regarding course certification, digital degree graduation, e-portfolios, and reputational rewards. Many issues remain unresolved, in particular, the cost and complexity of blockchain technology, the irreversibility of actions in the blockchain, the lack of mass perception and a comfortable interface for users.
The Project Management Maturity Model
Authors: J. Kent Crawford
Year: 2006

Abstract This article describes a five-level model of project management maturity that can be used as a structured assessment tool for a company's project management capability.
A Stochastic Model for Pharmaceutical R&D Project Management in a Make-or-Buy Decision Setting
Authors: Guozhen Zhao; Wen Chen
Year: 2010

Managing a pharmaceutical R&D project is a complex undertaking that involves efforts from both business managers and scientists. The increasing complexity of exploratory activities in pharmaceutical innovation makes less likely that a project can stand alone. Project managers not only resort to in-house innovation but also external sources to propel a central project. In this paper, the authors propose a make-or-buy stochastic process model as an integrated project management tool with the goal of maximizing the successful probability of a prospective drug compound. The model illustrates the two-process-line practice in pharmaceutical R&D projects and combines this practice with the make-or-buy decision that managers always face in pharmaceuticals. Using this model, the authors discuss the decision strategies at different phases of a pharmaceutical R&D project and provide optimal solutions based on the remaining time of the project. A case study demonstrates the model's effectiveness. The model offers potential benefits in terms of its ability to transform key learning into efficient and reliable managerial decision-making practices that are well aligned with drug innovation strategies.
Optimizing development and operations from the project success perspective using the analytic hierarchy process
Authors: Sani Novi Nugraheni; Teguh Raharjo; N. W. Trisnawaty
Year: 2024

By merging development and operation disciplines, the approach known as development and operations (DevOps) can significantly improve the efficiency and effectiveness of software development. Despite its potential benefits, successfully implementing DevOps within traditional project management frameworks presents significant challenges. This study explores the critical factors influencing the implementation of DevOps practices from the project management perspective, specifically focusing on software development projects in the Ministry of Finance. This study utilizes the analytic hierarchy process (AHP) to prioritize the critical elements of project success criteria and DevOps factors necessary for effective implementation. The findings indicate that stakeholder satisfaction, quality, and value creation are the primary criteria for project success. Moreover, knowledge and skills, collaboration and communication, and robust infrastructure are pivotal factors for facilitating DevOps within project management. The study provides actionable insights for organizations aiming to improve their project outcomes by incorporating DevOps and offers a systematic approach to decision-making using AHP. This study recognizes limitations due to its focus on specific contexts and emphasizes the need for future research in diverse organizational environments to validate and expand these findings.
Making sense of business analytics in project selection and prioritisation: insights from the start-up trenches
Authors: E. Zamani; Anastasia Griva; Konstantina Spanaki; Paidi O'Raghallaigh; David Sammon
Year: 2021

PurposeThe study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.Design/methodology/approachThis is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.FindingsThe key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.Originality/valueThis study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.
Intensive big room process for co-creating value in legacy construction projects
Authors: O. Alhava; E. Laine; A. Kiviniemi
Year: 2015

In construction projects the changes and refinements of client requirements are often seen just as a disturbance causing additional costs. However, today clients' business needs evolve constantly and therefore changes in the project requirements are inevitable. Simultaneously, the increasing competition forces companies to minimise unproductive capital costs. Therefore there is an economical pressure to shorten the construction time and the design and construction will be even more concurrent than today. There is clearly potential value to be created for customer by terms of collaborative design process.Fira is an innovative Finnish company which has developed its interactive and customer centric Verstas process since 2009. Fira is using service logic as a guiding principle in the development of collaborative design processes, such as Intensive Big Room (IBR), which is a combination of Building Information Modelling (BIM) and further development of Integrated Concurrent Engineering (ICE ) and Big Room methodologies.The traditional project management methods are not efficient in managing late changes in customerOs requirements. This article presents a new method combining collaborative design process, requirements management and IBR in a small sub-process - locking and ironmongery - in legacy construction project models. The sub-process was selected for the development of the method because it is a perfect example of the traditional fragmented process where efficient coordination between different participants and management of requirements are very difficult. However, the same principles can be applied to many other sub-processes too. The method combines service logic, value co-creation and use of IBR concept in a standard contract environment in a unique way which can give significant benefits to the companies able to adopt the presented concept in their business models. Using these methods Fira can now change its business model, differentiate with more attractive value proposal for customer, create more value than its competitors and capture value for securing its competitiveness in future.
An Interoperable Analysis of Building Information Modeling for Structural Design Purposes
Authors: Satinder Kaur Khattra; Ritesh Jain
Year: 2024

The main objective of the research was to explore the ways and methods for integration of information in the context of processes based on Building Information Modeling (BIM) technologies and to investigate the main issues underlying the inadequate interoperability between applications used for Architecture, Engineering and Construction (AEC) projects with special emphasis on architectural and structural design. For identifying various interoperability issues, different parametric models were created in the chosen software. In the first part of the interoperability experiments of the research, simple self-tests were performed to verify support of software applications for IFC (Industry Foundation Classes) and interpret internal mapping mechanism of these software resulting from exporting of model in IFC format. The information exchange was analyzed using direct link through API and indirect link through open universal standard IFC as it severs the purpose of openBIM. After the comprehensive analysis of data sharing among most commonly used BIM authoring tools in architectural and structural domains, it was realized that interfaces for the exchange differed significantly between the software tools. The results demonstrate that interoperability issues commonly arise, such as the increasing file-size, inconsistent object types, geometric misrepresentation, different colours, loss of properties and relations. Interoperability issues such as data loss and misrepresentation do exist, when software tools import IFC models created by other software tools. The comparative study indicates that BIM workflow is not yet fully competent to fulfill the inter domain information exchange process because many drawbacks. The integration of all the project data from various disciplines enhances coordination, transparency, prevents loss of information, design conflicts, duplication of work resulting in better project management.
Dispositif de supervision pour les tuteurs impliqués dans un apprentissage à la gestion de projets
Authors: C. Michel
Year: 2009

This article presents results of the observation of a project management teaching-by-project course. It describe return of experience not only of student but also of tutors one years after the course. Many problems are identified like individual student evaluation, tutor distance, lake of coordination, lake of communication. We ask tutor about the pertinence of an instrumental solution, based upon dashboard, to solve problems of coordination and evaluation identified. We made the hypothese that a cognitive tool will improve too the knowledge construction and the learning process.
Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation
Authors: S. Kaewunruen; Mohannad AbdelHadi; Manwika Kongpuang; W. Pansuk; A. Remennikov
Year: 2022

Innovative digital twins (DTs) that allow engineers to visualise, share information, and monitor the condition during operation is necessary to optimise railway construction and maintenance. Building Information Modelling (BIM) is an approach for creating and managing an inventive 3D model simulating digital information that is useful to project management, monitoring and operation of a specific asset during the whole life cycle assessment (LCA). BIM application can help to provide an efficient cost management and time schedule and reduce the project delivery time throughout the whole life cycle of the project. In this study, an innovative DT has been developed using BIM integration through a life cycle analysis. Minnamurra Railway Bridge (MRB), Australia, has been chosen as a real-world use case to demonstrate the extended application of BIM (i.e., the DT) to enhance the operation, maintenance and asset management to improve the sustainability and resilience of the railway bridge. Moreover, the DT has been exploited to determine GHG emissions and cost consumption through the integration of BIM. This study demonstrates the feasibility of DT technology for railway maintenance and resilience optimisation. It also generates a virtual collaboration for co-simulations and co-creation of values across stakeholders participating in construction, operation and maintenance, and enhancing a reduction in costs and GHG emission.
A Comparative Analysis of Traditional versus Agile Project Management Methodologies on IT Project Outcomes
Authors: Kenneth O Ogirri; Itohan Jacqueline Idugie
Year: 2024

Agile project management approaches have gained popularity over the last two decades for managing IT projects. However, there remains an ongoing debate on which approach, agile or traditional plan-driven, yields more successful projects in terms of on-time and on-budget delivery, customer satisfaction, and team engagement. This study consolidates quantitative data from over 50 sources, encompassing over 1,250 IT projects implementing traditional waterfall or agile methodologies like Scrum and Kanban. The results show that agile approaches resulted in a 21% higher rate of project success compared to traditional methods. Projects using agile exhibited a 20% increase in customer satisfaction ratings as measured by Net Promoter Scores. Team members engaged in various agile projects reported higher motivation, empowerment, and better work-life balance compared to traditional projects. Statistical analysis found these differences were very unlikely to occur by chance the iterative nature of agile, its emphasis on continuous customer feedback, and autonomous team structure provide more flexibility to evolving IT projects. Traditional plan-driven methods remain effective for large, complex infrastructure projects requiring extensive pre-planning.
Concept for enhanced intuition in development management through exploratory data analysis using an extended factor analysis of mixed data
Authors: M. Riesener; M. Kuhn; B. Lender; Günther Schuh
Year: 2024

Abstract With the shift from mechanical value delivery to mechatronic value delivery, development environments are becoming more complex. Intuitive decision-making in development management is becoming increasingly challenging. Meanwhile, the use project management software is spreading, bringing about a new level of project data for development projects, holding to potential to enhance human decision making. To this end, the paper presents an extension to factor analysis of mixed data, which can facilitate usage of exploratory data analysis to improve decision-making in development project planning.
The software engineering of a three‐tier web‐based student information system (MyGJU)
Authors: Feras Al-Hawari; Anoud Alufeishat; M. Alshawabkeh; Hala Barham; Mohammad S. Habahbeh
Year: 2017

This paper discusses how the software development team at the German Jordanian University (GJU) adopted the project management and software development processes in the ISO/IEC 29110 series to implement a complex Student Information System (SIS). Specifically, it identifies the key points to be taken into consideration in the analysis, design, implementation, testing, and deployment phases during the iterative and incremental SIS development process. The SIS is a distributed three‐tier web‐based application that enables registrars to perform various tasks such as system setup, admission, registration, grades processing, graduation, and reporting. It was launched in the first 2015/2016 semester and enabled administration to maintain a comfortable learning environment, assess instructor performance, enhance teaching practices, and improve course content. The results of the system measurements and user survey assert that the SIS is feature rich, easy to use, fast, reliable, stable, highly available, and scalable. © 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:242–263, 2017; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21794