derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Whom the Rights to Software Belong to?
Authors: Ivan V. Shevelev; Tatyana S. Nikiforova
Year: 2023

The article analyses the current legislation as regards the identification of persons to whom the rights to a computer programme should belong: whether they are authors, copyright holders or users? It emphasises the development of a part of a software product as a significant attribute for determining its authorship. The composition of the software development project team is considered, and it is analysed which of these roles can lead to the emergence of authorship for a computer programme created within the project. The question of whether task trackers and other automated project management systems can replace job descriptions for the purposes of confirming the official status of the programme is being investigated. In addition, examples of automatic programming tools are presented and the question of whether the user of such software tools can be the author of a computer programme created with their help is considered.
What Can Go Wrong in a Software Project? Have Fun Solving it
Authors: Miguel Morales Trujillo; Gabriel Alberto García-Mireles; Polina Maslova
Year: 2018

Providing stimulating and real-life experiences is a key component in teaching software project management in Computer Science or Software Engineering programs. The diversity of topics that need to be addressed and restrictions that should be considered in university courses make a challenging task of it. This paper presents a serious game, called “White Crow PM” whose objective is to make students aware of the risks they might face during software development projects. The paper describes the game design steps and provides results of its validation in Computer Science programs in two Mexican universities. The collected data showed that the participants had fun playing the game and its content is relevant for software project management courses. Although the game needs to be validated in other settings with more participants, we conclude that it fulfills the goal of motivating discussion and increasing awareness of project management concerns among students.
Artificial intelligence and project management maturity: A study of selected project-based organizations in Pakistan
Authors: Burhana Tariq; Amanat Ali; Muhammad Sajid Khattak; M. Arfeen; Muhammad Azam I. Chaudhary; Faisal Iqbal
Year: 2024

Artificial intelligence (AI) is significantly impacting modern project management (PM) nowadays, especially as it begins to be integrated into business applications. This study focused on evaluating the readiness for AI implementation and the maturity level of PM in selected project-oriented organizations in Pakistan. Data from 12 such organizations were gathered through focus groups to examine the status of AI readiness and PM maturity and to explore their association. The methods used included exploratory data analysis and research on extreme cases. The findings indicated that AI readiness was relatively high in areas of governance and legal aspects but lower in solution development. Conversely, PM maturity was found to be higher in PM but less developed in program and portfolio management. Analysis of extreme cases suggested a positive relationship between AI readiness and PM maturity, supporting the idea that AI can enhance PM. These findings are crucial both for theoretical understanding and practical application.
Roles in a Software Project
Authors: A. Fiesser
Year: 2009

This paper discusses patterns about the lead roles of a software development team: The Product Manager who is the interface to the customer, the Project Manager who allocates the resources and the Architect who designs the software and leads the developers. A fourth pattern discusses how these roles act as hubs and how they relate to each other. The view is based on the project management triangle.
Development of Scientific Software: a Systematic Mapping, a bibliometrics Study, and a Paper Repository
Authors: R. Farhoodi; V. Garousi; Dietmar Pfahl; Jonathan Sillito
Year: 2013

Scientific and engineering research is heavily dependent on effective development and use of software artifacts. Many of these artifacts are produced by the scientists themselves, rather than by trained software engineers. To address the challenges in this area, a research community often referred to as "Development of Scientific Software" has emerged in the last few decades. As this research area has matured, there has been a sharp increase in the number of papers and results made available, and it has thus become important to summarize and provide an overview about those studies. Through a systematic mapping and bibliometrics study, we have reviewed 130 papers in this area. We present the results of our study in this paper. Also we have made the mapping data available on an online repository which is planned to be updated on a regular basis. The results of our study seem to suggest that many software engineering techniques and activities are being used in the development of scientific software. However, there is still a need for further exploration of the usefulness of specific software engineering techniques (e.g., regarding software maintenance, evolution, refactoring, re(v)-engineering, process and project management) in the scientific context. It is hoped that this article will help (new) researchers get an overview of the research space and help them to understand the trends in the area.
Analysis of Effect of Project Management Maturity on Project Success in the Indian IT Industry
Authors: Vivek Hamal; Prashant Tyagi
Year: 2023

Abstract: The research on topic “ANALYSIS OF EFFECT OF PROJECT MANAGEMENT MATURITY ON PROJECT SUCCESS IN THE INDIAN IT INDUSTRY” analysed project management maturity, project success, project challenges, and the association between project management maturity and project success in the IT industry. A survey was conducted among large, medium, and small firms, combining the nine knowledge areas of the Project Management Body of Knowledge (PMBOK Guide) with a Project Management Maturity Model (PMMM). The results show that integration, cost, and communication processes are mature, as they are at level 4 in maturity, which means that processes are managed and regularly measured. Scope, time, quality, and procurement processes indicated less maturity compared to other processes. HR and risk management showed the least maturity among the nine knowledge core areas. Key areas that require special attention are project control processes, informal communication, and risk management. Lack of communication between project team members, lack of executive support, unclear business objectives, incorrect auditing of processes, inappropriate formal methodologies, and other factors contributed to project challenges. Quadruple constraint, system use, and user satisfaction are important factors for project success. Project management maturity and project success were found to be highly correlated.
Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange
Authors: Felipe G. S. Gomes; Eder Pereira dos Santos; Sávio Freire; Manoel G. Mendonça; T. Mendes; R. Spínola
Year: 2022

Context: Technical debt (TD) can bring short-term benefits to software projects, but its presence is also associated with is-sues such as decreasing product quality. Recent literature has proposed indicator-based strategies for TD identification and different approaches for TD management, but most of them focused on the point of view of software developers. Little is still known about how project management practition-ers actually discuss, experience, and manage TD. Goal: This work investigates, from the point of view of project manage-ment practitioners, how they commonly discuss, experience, and manage TD. Method: We mined, curated, and selected a total of 42 TD discussions on Stack Exchange Project Man-agement (SEPM), totaling 583 messages. We analyzed this data set quantitatively and qualitatively. Results: The most commonly discussed types of debt are process and people, revealing 47 indicators for recognizing debt items. We also found 72 practices related to TD management. Conclusion: The perspective considered by project management practitioners to analyze the TD phenomenon is different from the one considered by other roles in the software development process. This work organizes the TD indicators and manage-ment practices identified in SEPM into a Sankey diagram, which may assist practitioners and serve as guidance for future research.
Features and key factors affecting the implementation of major projects
Authors: S. Y. Agaurov; N. V. Zykova
Year: 2023

Aim. The presented study aims to identify factors that have a significant impact on the implementation of large-scale projects.Tasks. The authors analyze major project management practices; investigate problems arising in the management of such projects; describe factors leading to an increase in the cost of major projects; examine the features of infrastructure projects.Methods. This study uses general scientific methods of cognition and analysis, as well as the tabular method.Results. In recent decades, mega-projects that are crucial for economic growth and social prosperity have become increasingly common across the world. The characteristic features of most large-scale and infrastructure projects include cost overruns, time delays, and often failure to achieve expected revenues compared to the original estimates. The implementation of major projects is associated with various problems, such as extreme technical and social complexity, poor implementation, low construction safety indicators, and significant impact on society, people’s living conditions, and the environment. One of the reasons for the current situation is the lack of scientifically based methodological research on the issues of major project management in a changing external environment and with a risk of uncertainty. The success of the project as a multidimensional structure includes technical and managerial aspects, as well as economic and strategic goals.Conclusion. Analysis of current major project management practices shows the shortcomings of existing approaches manifested in organizational and planning errors, as well as economic, geopolitical, and environmental risks. Mega-projects require complex management strategies to ensure smooth implementation, such as introduction of a risk management system, promotion of partnerships, and creation of information platforms. It can be concluded that there is significant international experience in the implementation of major projects. However, the shortcomings identified in this study suggest that a number of issues in the theory and practice of managing such projects remain underdeveloped methodologically.
How Emergent Roles and Structures Create Trust in Hastily Formed Interorganizational Teams
Authors: R. Zolin; D. Gibbons
Year: 2014

Many activities, from disaster response to project management, require cooperation among people from multiple organizations who initially lack interpersonal relationships and trust. On entering interorganizational settings, preexisting identities and expectations, along with emergent social roles and structures, may all influence trust between colleagues. To sort out these effects, we collected time-lagged data from three cohorts of military MBA students, representing 2,224 directed dyads, shortly after they entered graduate school. Dyads who shared organizational identity, boundary-spanning roles, and similar network positions (structural equivalence) were likely to have stronger professional ties and greater trust.
Empirical evaluation of fuzzy analogy for software development effort estimation
Authors: Ibtissam Abnane; A. Idri; A. Abran
Year: 2017

Software Development Effort Estimation (SDEE) plays a primary role in software project management. Among several techniques suggested for estimating software development effort, analogy-based software effort estimation approaches stand out as promising techniques. In this paper, the performance of Fuzzy Analogy is compared with that of six other SDEE techniques (Linear Regression, Support Vector Regression, Multi-Layer Perceptron, M5P and Classical Analogy). The first step of the evaluation aimed to ensure that the SDEE techniques outperformed random guessing by using the Standardized Accuracy (SA). Then, we used a set of reliable performance measures and Borda count to rank them and identify which techniques are the most accurate. The results suggest that Fuzzy Analogy statistically outperformed the other SDEE techniques regardless of the dataset used.
Managing a software development project complying with PRINCE2 standard
Authors: S. Axinte; Gabriel Petrica; Ionut-Daniel Barbu
Year: 2017

Project Management (PM) encompasses activities related to the successful accomplishment of a group of goals. According to SR 13465:2007, PM is all about planning, programming, monitoring and controlling the fulfilment of the activities in the project. In addition, PM is about managing all the resources involved or required for completing the project within established timeframe, budget, scope and quality level. PRINCE2 (“PRojects IN Controlled Environments”) is a process-based standard established in 1989 with the goal of managing a successful project with great organizational benefits. Since “excellence is not an act, but a habit” (Aristotle), PRINCE2 is based on a series of guidelines and best practices for each stage of a project. This paper presents the PRINCE2 project management approach for an e-learning Quality Assurance platform, following the recommended application of the principles while going through each stage of the process, as well as tracking the target indicators mentioned above. The platform will present content that is tailored to both beginners and professionals, as well as real-world examples based on the author's work experience.
An integrable, web-based solution for easy assessment of video-recorded performances
Authors: Y. Subhi; T. Todsen; L. Konge
Year: 2014

Assessment of clinical competencies by direct observation is problematic for two main reasons the identity of the examinee influences the assessment scores, and direct observation demands experts at the exact location and the exact time. Recording the performance can overcome these problems; however, managing video recordings and assessment sheets is troublesome and may lead to missing or incorrect data. Currently, no existing software solution can provide a local solution for the management of videos and assessments but this is necessary as assessment scores are confidential information, and access to this information should be restricted to select personnel. A local software solution may also ease the need for customization to local needs and integration into existing user databases or project management software. We developed an integrable web-based solution for easy assessment of video-recorded performances (ISEA).
An Analysis of the Features of Requirements Engineering Tools
Authors: Mert Ozkaya; G. Kardas; M. Kose
Year: 2023

Many requirements engineering tools have been developed for gathering, documenting, and tracing requirements that can even be further processed for such purposes as analysis and transformation. In this study, we analysed 56 different requirements engineering tools for a comprehensive set of features that are categorised into multiple viewpoints (i.e., project management, specification, collaboration, customisation, interoperability, methodology, and user-support). The analysis results led to many interesting findings. Some of them are as follows: (i) the project planning and execution activities are rarely supported, (ii) multi-user access and versioning are highly supported, (iii) the most popular specification technique is natural languages, while precise specification via modeling languages is rarely supported, (iv) requirements analysis is rarely supported, (v) requirements transformation is considered for generating documents only, (vi) tool customisation via the tool integration and API support is highly popular, while customising the notation set is rarely supported, (vii) exchanging requirements is popular in such standards as ReqIF and Excel/CSV, while no single standard is accepted by all the tools, (viii) agile development is very common, while other methodologies (e.g., MDE and SPLE) are rarely supported, and (ix) user-guides, telephone, e-mail, and videos are the most preferred methods for user-support. The analysis results will be useful for different stakeholders including practitioners, tool vendors, and researchers.
Perancangan Sistem Informasi Manajemen Biaya Proyek Menggunakan Metode Earned Value Management pada PT. Kaltacitra Utama Berbasis Web
Authors: D. Syahputra; Iskandar Zulkarnain; Samuel Ramos
Year: 2023

The effectiveness of project cost management has become a primary concern in the construction industry. Traditional constraints in project cost monitoring necessitate a solution to enhance efficiency, transparency, and accuracy in management. This research aims to introduce a web-based project cost management information system that focuses on the application of the Earned Value Management (EVM) method. By employing a web-based system development approach using the Earned Value Management (EVM) method to accurately monitor project costs and performance. The utilization of web technology enables real-time access for stakeholders, facilitating more timely monitoring and evaluation. The implementation of this system has made a positive contribution to project cost management at PT. Kalta Citra Utama. Testing conducted demonstrates increased real-time transparency and accuracy in project cost information, providing better support for managerial decision-making. Implementing a web-based project cost management information system with the Earned Value Management (EVM) method at PT. Kalta Citra Utama will prove to enhance the efficiency and accuracy of project cost management. This demonstrates significant potential in optimizing project management practices in the construction industry.
Sustainable Infrastructure: A Systematic Literature Review on Finance Arrangements and Governance Modes
Authors: K. Endo; J. Edelenbos; A. Gianoli
Year: 2022

In recent years, the concept of sustainable infrastructure has become a key concern for infrastructure development. However, there has been little comprehensive research on the enabling factors for sustainable infrastructure development. To address these knowledge gaps, this research conducted a systematic literature review of the enabling factors, with a specific focus on finance and governance, to provide new insights for development practitioners and academic scholars. The research first reviewed the characteristics of sustainable infrastructure, identifying several types of definitions. Subsequently, the research identified multiple finance arrangements and governance characteristics that have been applied to sustainable infrastructure. We confirmed that public-private partnerships (PPPs) and multilateral development banks (MDBs) play central and critical roles in leading and including other finance arrangements and governance characteristics of sustainable infrastructure development. In addition, the review suggests there are various governance modes combining horizontal process management with vertical project management for realizing sustainable infrastructure development.
PROJECT TEAM MANAGEMENT MODEL UNDER RISK CONDITIONS
Authors: Mykyta Rohovyi; M. Grinchenko
Year: 2023

The paper examines the state of the problem of the influence of risks on the project team's work process. The processes of the team's work during the implementation of the project sprint are defined. The authors identified risk factors that affect the effectiveness of the project team. An analysis of modern approaches was carried out and three directions were identified, which represent the research of project team management processes under conditions of risk. A comprehensive reference model of project team management under risk conditions is proposed in the form of a framework. It reflects the interrelationship of four models: the project team behavior model, the model for assessing the quality of the formation of sprint tasks, the model for determining the distribution of tasks in the project team, and the model for the formation of recommendations. The project team evaluates the text description of the task, obtained from the information system, using the sprint task formation quality assessment model. Natural language processing methods are used to create a model for evaluating the quality of forming sprint tasks, which combine the method of processing text information and the method of learning based on precedents, which allows taking into account the previous experience of the team and its behavior. The project team behavior model allows taking into account the risks of irrational work organization during the sprint. The behavior of the project team is analyzed using Process Mining methods. The case representation model allows the project team to store and reuse knowledge and experience based on simulation modeling and reinforcement learning approaches. It allows the team to determine and evaluate possible options for the distribution of tasks and resources in the team in accordance with the reduction of possible risks. The central element of the proposed framework is the model of recommendations used in decision-making. It provides the project team with the necessary information for effective decision-making in terms of risks in project management. The proposed framework provides an opportunity to reduce the impact of the risks of non-fulfillment of project tasks during the sprint. Further studies of the task of managing the project team under conditions of risk should be directed to the development of specified models of the proposed framework
Application of systems thinking and system dynamics in managing risks and stakeholders in construction projects: A systematic literature review
Authors: Zahra Ghamarimajd; Amir Ghanbaripour; Roksana Jahan Tumpa; Tsunemi Watanabe; Jasper Mbachu; Martin Skitmore
Year: 2024

This paper conducts a systematic literature review on systems thinking (ST) and system dynamics (SD) applications in construction project risk and stakeholder management over the past decade. It evaluates current practices' alignment with SD, addressing project complexity and uncertainty. Seventy‐three articles are analysed following Preferred Reporting Items for Systematic Reviews and Meta‐Analysis (PRISMA) guidelines, using descriptive, thematic and bibliometric analyses. Findings show fluctuating trends in ST and SD applications due to COVID‐19 in 2019, with notable contributions from China, Australia and the UK. Building projects are the most studied, employing mixed methodologies. Thematic analysis highlights SD's significant role in system representation and risk management, with 80% of studies utilizing SD models for various risk factors. While less common in stakeholder management, SD enhances communication and understanding of stakeholder dynamics. The study advocates for integrating SD modelling in construction management for improved decision‐making, risk mitigation and stakeholder engagement for project management practitioners, urging collaboration between academia, industry and policymakers for effective construction policies. Academics and researchers should focus on standardizing SD modelling tools, exploring hybrid methodologies like agent‐based modelling, and integrating emerging technologies like artificial intelligence (AI) and the Internet of Things (IoT) to enhance real‐time decision‐making capabilities. Collaboration between academia, industry practitioners and policymakers is crucial to ensure SD research translates into effective policies and best practices, particularly in safety and environmental impact assessments.