Project Management Tasks Research Articles

Cognitive Agents Powered by Large Language Models for Agile Software Project Management

This paper investigates the integration of cognitive agents powered by Large Language Models (LLMs) within the Scaled Agile Framework (SAFe) to reinforce software project management. By deploying virtual agents in simulated software environments, this study explores their potential to fulfill fundamental roles in IT project development, thereby optimizing project outcomes through intelligent automation. Particular emphasis is placed on the adaptability of these agents to Agile methodologies and their transformative impact on decision-making, problem-solving, and collaboration dynamics. The research leverages the CogniSim ecosystem, a platform designed to simulate real-world software engineering challenges, such as aligning technical capabilities with business objectives, managing interdependencies, and maintaining project agility. Through iterative simulations, cognitive agents demonstrate advanced capabilities in task delegation, inter-agent communication, and project lifecycle management. By employing natural language processing to facilitate meaningful dialogues, these agents emulate human roles and improve the efficiency and precision of Agile practices. Key findings from this investigation highlight the ability of LLM-powered cognitive agents to deliver measurable improvements in various metrics, including task completion times, quality of deliverables, and communication coherence. These agents exhibit scalability and adaptability, ensuring their applicability across diverse and complex project environments. This study underscores the potential of integrating LLM-powered agents into Agile project management frameworks as a means of advancing software engineering practices. This integration not only refines the execution of project management tasks but also sets the stage for a paradigm shift in how teams collaborate and address emerging challenges. By integrating the capabilities of artificial intelligence with the principles of Agile, the CogniSim framework establishes a foundation for more intelligent, efficient, and adaptable software development methodologies.

Values Spiral Development Method in the Implementation of Digitalization Projects in Syncretic Methodology

The article is devoted to the formulation of the method of spiral development of values in the implementation of digitalization projects of self-managed organizations, which was developed within the syncretic methodology of project management. The application of the proposed method is considered in the field of infrastructure restoration projects of Ukraine. A scientific problem regarding the availability of a project management methodology that meets modern challenges has been formulated. The gap between the practical needs of project-oriented organizations in a new unique methodology and the availability of established standards for solving typical project management tasks is revealed. A review of literary sources was carried out, modern project management trends were highlighted, including: increasing complexity of modern corporate project management methodologies, application of value-oriented management approaches, models of self-managed teams. The principles of value-oriented management for infrastructure restoration projects implemented by self-managed organizations within the syncretic methodology have been formulated. The method of values spiral development of a project-oriented organization, which uses models of self-management, through the implementation of digitalization projects within the syncretic methodology, is proposed. Within the scope of the method: a value model for digitalization projects of self-managed organizations is proposed; the concept of "stellarator project" is introduced, the definition of such a project is given. The results of the approbation of the method in a project-oriented organization working in the field of infrastructure restoration of Ukraine are presented and analyzed. Areas of improvement of the project-oriented activities of the specified organization have been determined. A SWOT analysis of the proposed method was carried out. Conclusions based on the research are formulated, prospects for further research in the chosen direction are outlined.

Values Spiral Development Method in the Implementation of Digitalization Projects in Syncretic Methodology

The article is devoted to the formulation of the method of spiral development of values in the implementation of digitalization projects of self-managed organizations, which was developed within the syncretic methodology of project management. The application of the proposed method is considered in the field of infrastructure restoration projects of Ukraine. A scientific problem regarding the availability of a project management methodology that meets modern challenges has been formulated. The gap between the practical needs of project-oriented organizations in a new unique methodology and the availability of established standards for solving typical project management tasks is revealed. A review of literary sources was carried out, modern project management trends were highlighted, including: increasing complexity of modern corporate project management methodologies, application of value-oriented management approaches, models of self-managed teams. The principles of value-oriented management for infrastructure restoration projects implemented by self-managed organizations within the syncretic methodology have been formulated. The method of values spiral development of a project-oriented organization, which uses models of self-management, through the implementation of digitalization projects within the syncretic methodology, is proposed. Within the scope of the method: a value model for digitalization projects of self-managed organizations is proposed; the concept of "stellarator project" is introduced, the definition of such a project is given. The results of the approbation of the method in a project-oriented organization working in the field of infrastructure restoration of Ukraine are presented and analyzed. Areas of improvement of the project-oriented activities of the specified organization have been determined. A SWOT analysis of the proposed method was carried out. Conclusions based on the research are formulated, prospects for further research in the chosen direction are outlined.

Best Agile method selection approach at workplace

Selecting the most suitable agile software development method is a challenging task due to the variety of available methods, each with its strengths and weaknesses. To achieve project goals effectively, factors such as project needs, team size, complexity, and customer involvement should be carefully evaluated. Choosing the appropriate agile method is crucial for achieving high client satisfaction and effective team management, but it can be a challenging task for project managers and higher-level management officials.This paper presents a solution aiming to help them in selecting the most suitable software development method for their project. In this regard, this solution includes a pre-project management approach model and a decision tree that considers the unique requirements of the project. In the proposed solution results, Scrum was found to be suitable for both small and large projects, on the condition that roles and responsibilities are clearly defined and that the approach is people-centric. Furthermore, high-risk mitigation measures should be added for small projects. To facilitate the use of our model, a software application has been developed which implements the decision-making tree.

МОДЕЛЮВАННЯ ЗАДАЧ ОПТИМІЗАЦІЇ УПРАВЛІННЯ ІТ-ПРОЕКТАМИ

Abstract. The article focuses on exploring mathematical models for optimizing business processes in project management within IT companies in the context of contemporary trends and challenges. Project management involves the process of guiding and coordinating people's activities, as well as managing material and financial resources throughout the project's lifecycle. This process encompasses applying modern management methods and techniques to achieve project goals. The dynamic allocation modeling of IT projects among teams to ensure high-quality development at maximum efficiency with minimal costs is a pertinent task in IT project management. The article's objective is to select a mathematical framework for decision-making regarding the optimal IT project management program to enhance the efficiency of each IT team and the entire IT company. The research involved an analysis of scientific literature on modeling project management in IT companies. The article proposes focusing on developing dynamic multi-criteria optimization models for human resource management, emphasizing the distribution of IT projects among executing teams. The research aims to elevate the strategic and operational levels of IT personnel management to achieve optimal outcomes in information technology. The analysis concludes that despite the advantages of various mathematical modeling methods, none of them in isolation allows for constructing a sufficiently detailed mathematical model. Methods and models addressing IT enterprise modeling problems may oversimplify the issue or, conversely, overly complicate it, complicating the selection of input data. The functioning of the IT enterprise was analyzed through the lens of external and internal indicators concerning the solved task. A verbal model of IT project distribution among teams, considering the time factor, was developed. This model formulated a system of basic concepts and ideas, allowing the dynamic formulation of the problem using widely accepted linear optimization models. This will facilitate finding optimal solutions for IT project distribution tasks over a specific period. Future research should focus on selecting a solution method for the model and implementing the constructed mathematical model using appropriate tools. The research findings presented can serve as a basis for further academic exploration and practical application in the field of IT project management. Keywords: modeling, optimization, business processes, project management, labor resources, IT projects.

Identification of risk types in innovation projects

Abstract Purpose The purpose of the article is an attempt to fill a research gap in the field of issues re-lated to innovation projects and, in particular, to identify the types of risks associated with their implementation in organizations. Current identification and monitoring of the level of occurrence of various types of risk in in-novative projects is a key task for project managers in order to make effective decisions on how to eliminate or reduce them. Design/methodology/approach The empirical verification is based on the methodology of our own research. The study developed and used a questionnaire for owners and managers imple-menting innovative projects. Findings This research, and the results we obtained, make it possible to answer how innovation projects are treated in organizations, what the dynamics of the implementing various types of innovation projects in recent years has been, and the level at which various types of risk in in-novation projects have been assessed and identified. Practical implications The literature review and research results show that the issue of risk in innovation projects is timely and important for many organizations, even more so for project managers looking for effective methods of identifying and managing it. Identifying the level of risk is crucial for the success of innovation projects because it reduces the negative impact of risk factors on a project’s timeliness and budget, as well as its economic and technical-technological effects. The authors emphasize that it will be worth continuing the undertaken research and work towards identifying and evaluating all components of risk management sys-tems. Proper identification of risks in projects, and understanding their nature, is a kind of guar-antee of security for the organization implementing them. Originality/value For the purpose of carrying out this empirical research, we adopted our own classification system of the types of risk associated with various innovation projects undertaken by organizations. Risk categories should be well-defined, corresponding to typical sources of risks for a type of innovation project in a given industry and the specificity of company’s activity. The types of risk most frequently named by respondents across six types of projects were time, personnel and cost.

Mastering Construction Schedules: The Power of CPM and Pert Integration

Abstract: Mastering construction schedules is a crucial task in project management, requiring a careful strategy for timely completion and overall success. This overview explores how Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) methods work together, highlighting the strength that comes from combining them. CPM, a certain method, focuses on putting tasks in order to find the critical path, which decides the project's duration. PERT, a method that considers uncertainties, provides a realistic view of timelines. Blending these methods creates a strong scheduling framework that balances certain and uncertain elements. This hybrid approach identifies critical paths, offering project managers a flexible scheduling model that adapts to uncertainties, helping them make more informed decisions. The abstract emphasizes the role of technology in integrating CPM and PERT, using computational power to seamlessly bring them together. Modern project management software automates critical path analysis, allowing real-time adjustments based on project conditions. This technology-driven integration is vital in today's project management. Moreover, the abstract highlights that CPM and PERT integration goes beyond traditional construction management, making it versatile for uncertain and dynamic projects, including research, development initiatives, and innovative construction. The adaptability of this integrated approach makes it valuable in various industries, indicating its broader impact on project scheduling. This overview outlines the core principles of the integration, demonstrating its practical use in addressing construction project management challenges. Embracing this integrated approach empowers project managers to navigate uncertainties, optimize resource use, and increase the chances of project success in a complex and dynamic environment.

A Comparative Analysis of Regression Models for Software Effort Estimation

Software Effort Estimation is the utmost task in software engineering and project management. This is important to estimate cost properly and the number of people required for a project to be developed. Many techniques have been used to estimate cost, time, schedule and required manpower for software development industries. Nowadays software is developed in a more complex way and its success depends on efficient estimation techniques. In this research, we have compared five regression algorithms on different projects to estimate software effort. The main advantage of these models is they can be used in the early stages of the software life cycle and that can be helpful to project managers to conduct effort estimation efficiently before starting the project. It avoids project overestimation and late delivery. Software size, productivity, complexity and requirement stability are the input vectors for these regression models. The estimated efforts have been calculated using Ridge Regression, Lasso Regression, Elastic Net, Random Forest and Support Vector Regression. We have compared unitedly these models for the first time as software effort estimators. R-squared Score, Mean Squared Error (MSE) and Mean Absolute Error (MAE) are calculated for these regression models. Ridge, Lasso and Elastic Net show comparatively better results among others.

Improving Training of Modern Leaders Utilizing it in The Administration of The Higher Education System

This paper aims to discuss the problem of organizing students ' independent educational activities using IT projects and task management system. The concept of " independent learning activity " is formulated based on the studied domestic literature on this issue. The methodological potential of IT (e.g. the JIRA platform) is considered in the example of practical tasks of project management and organization of interaction between participants by analysing the functions of the program and correlating them with the tasks being implemented. The data obtained indicate the expediency of using the JIRA project and task management system as a means of implementing independent research -level learning activities when organizing a group project. The content of the research level of the system for improving independent learning activities is disclosed with consideration of preparatory measures and the first form of practical application, mastered and updated, which is a "group project ". The psycholinguistic content of independent learning activities of students at the level of higher education is analysed. The results of a methodical analysis of the JIRA project and task management system, which allows you to coordinate the interaction of users, students, project managers, and teachers are presented. A variant of preparing students for the group implementation of specialized linguistic independent educational activities by using the JIRA project and task management system is proposed.

Подход к построению модели коммуникационных потоков при решении задач в проектном управлении

This article discusses an approach to building a model of communication flows when solving project management tasks in the context of the need for subsequent regulation in order to increase the efficiency of project implementation in general. Definitions are given that distinguish such concepts as a communication flow and a single communication link with subsequent formalization in a formulaic form. Examples of forms and methods of communication between project participants are given, followed by the example of a hierarchical approach to the formation of a model of communication flows. The article also discusses the basis for building a model, including the organizational structure of the project, taking into account resources and the process of setting tasks, and in part of the latter, an algorithm of actions is presented, distributed over key stages, including visualization of the process diagram. Examples of control actions are given in order to demonstrate the possible regulation of the proposed model.

Synergies of Lean, BIM, and Extended Reality (LBX) for Project Delivery Management

The architecture, engineering, and construction (AEC) industry stands to benefit tremendously from the integration of lean construction (LC), building information modeling (BIM), and extended reality (XR) technologies at all stages of a project. These technologies enable multidimensional content viewing and collaboration through cloud-based systems and in real-scale environments, resulting in higher levels of efficiency. The aim of this research is to offer an integrative approach that combines project management philosophies, systems, technologies, and tools. The sections containing the results of this study are as follows. (1) A concise review of the benefits of LC, BIM, and XR technologies in the AEC industry, including BIM-based visualization support for LC (Lean-BIM) and BIM visualization in XR (BIM-XR). This section also presents an overview of the most commonly used wearable XRs on the market. (2) The presentation of an LBX process flow diagram and an IDEF0 diagram for the LBX project delivery management system at each stage of AEC projects, including design, construction, and operation. (3) Two possible scenarios for integrated lean, BIM, and XR implementation are suggested, referred to as “in the office” and “online or semi-online LBX meetings”. (4) An analysis of the strengths and weaknesses of the LBX management system, practical implications, and open challenges of applying LBX to project management tasks. Overall, this study presents an enormous opportunity to increase the quality of construction project planning, understanding, and performance, and provides a roadmap for future efforts to implement the integration of LC, BIM, and XR technologies in the AEC industry.

Approach to Formalizing Software Projects for Solving Design Automation and Project Management Tasks

GitHub and GitLab contain many project repositories. Each repository contains many design artifacts and specific project management features. Developers can automate the processes of design and project management with the approach proposed in this paper. We described the knowledge base model and diagnostic analytics method for the solving of design automation and project management tasks. This paper also presents examples of use cases for applying the proposed approach.

Пошук максимальних незалежних множин вершин графа для вдосконалення програмних проєктів

The need is fixed to software project enhancing with seamless integration of technological-descriptive and normative project manage- ment approaches by means of classical Graph Discrete Optimization Problems tailoring for software project management tasks, poorly equipped with best practices within technological approach. Class of software project management tasks is proposed to demonstrate the benefits of such integration. Two Boolean linear programming problems are investigated for searching some maximum size indepen- dent set (Section 1) and an algorithm for searching all possible maximum size independent sets (Section 2). Section 3 presents Problem Statement for searching a given number of non-intersecting independent sets with maximum sum of vertices’ numbers within independent sets. Based on it, Vizing-Plesnevich algorithm is described for coloring the graph vertices with the minimum number of colors. To solve Boolean problems, both specialized mathematical programming language AMPL and corresponding solver program named gu- robi are used. For basic algorithms developed, reference AMPL code versions are given as well as their running results. Illustrative examples of software project enhancing with the algorithms elaborated are considered in Section 4, namely: 25 specialists being conflicted during their previous projects partitioning into coherent conflict-free sub-teams for software projects portfolio; schedule optimization for autonomous testing of reusable components within a critical software system; cores composing for independent teams in a critical software project.

Using an Artificial Neural Network for Improving the Prediction of Project Duration

One of the most challenging tasks in project management is estimating the duration of a project. The unknowns that accompany projects, the different risks, the uniqueness of each project, and the differences between organizations’ culture and management techniques, hinder the ability to build one project duration prediction tool that can fit all types of projects and organizations. When machine learning (ML) techniques are used for project duration prediction, the challenge is even greater, as each organization has a different dataset structure, different features, and different quality of data. This hinders the ability to create one ML model that fits all types of organizations. This paper presents a new dynamic ML tool for improving the prediction accuracy of project duration. The tool is based on an artificial neural network (ANN) which is automatically adapted and optimized to different types of prediction methods and different datasets. The tool trains the ANN model multiple times with different architectures and uses a genetic algorithm to eventually choose the architecture which gives the most accurate prediction results. The validation process of the prediction accuracy is performed by using real-life project datasets supplied by two different organizations which have different project management approaches, different project types, and different project features. The results show that the proposed tool significantly improved the prediction accuracy for both organizations despite the major differences in the size, type, and structure of their datasets.

Examining the Agile Project Management Practices in the Malaysian Construction Industry

Agile Project Management (APM) is traceable as a concept for software development and IT projects. It represents one of the basic competitive advantages of contemporary organizations that can be applied to almost any large-scale project in any industry. Construction projects being a high uncertainties, high changes, high complexity, and high risk industry is yet to be seen if the adaptive approach of APM is applicable. A questionnaire consisting of four core agile values and 70 agile practices was used to study the inclination of project management practices in the Malaysian construction industry. The survey, which garnered 210 responses from construction personnel, revealed the inclination of four core agile values between 6.38 and 7.34 on the scale of 0-10, while agile practices scored between 3.4 to 4.0 on 0-5. The agile oriented group is found had applied 25 out of the 70 project agile practices more frequent than the non-agile oriented group. Smaller organizations have adopted more agile project practices, especially those related to the continuous improvement domain. The study concluded that the Malaysian construction participants are leaning towards the core value of project management, and indeed practiced agility in most of the project management tasks currently.

What (specifically) differentiates the successful and unsuccessful systems delivery projects (SDPs)

PurposeAgainst the backdrop of management, planning, temporary organizations, Shannon–Weaver theory of communication and evaluation theories, the purpose of this research paper is to examine the relative importance of specific project management tasks in the various phases of system delivery projects in distinguishing successful and unsuccessful projects.Design/methodology/approachA survey method was used (N = 3,129) to collect data from the customers of a major systems delivery project management company operating in the facilities management industry. Logistic regression was used to analyze the capability and relative importance of the tasks in discriminating successful and unsuccessful projects.FindingsThe results of the paper indicate that three out four installation tasks were among the top three in their ability to differentiate the successful and unsuccessful systems delivery project. Especially critical tasks were “Meeting milestones” and “Allocation of appropriate resources” so that the project could be completed on-time. Relatively less important tasks were “Advice and suggestions regarding the development of specifications for the project” and “Proposal to meet the intent of the company’s specifications” in the proposal phase of the project, and “Resolving warranty issues as defined by the warranty process” in the commissioning phase.Originality/valuePrevious research has assessed the importance of the various project management phases. This research examines the capability of the more minutiae tasks to distinguish the successful and unsuccessful projects in the various phases of systems delivery projects, i.e. proposal, installation and commissioning.

Enterprise Financial Project Management by Visual Analytics Tools

Companies of all sizes and lines of business are already turning data into real value in many ways. All industries are covered: these are social networks, Internet companies, industrial enterprises, fast food chains, banks, industrialists, hotels, and many others. Scientific research reveals ways to increase productivity through data-driven decision-making. However, the human brain is designed in such a way that graphical display allows one to perceive and understand some features of quantitative data, and some quantitative tasks can be best performed. The article reveals a set of tasks for managing financial projects and the resulting visual analytics methods. Applying a systematic approach to managing financial projects and solving problems of visualization of complex data analytics is considered. The technological sequence of the visual solution of project management tasks for managers is given, and visual analytics methods are proposed to determine the necessary intervention in a problem situation that arises in the project management process. The importance of using modern analytical software is noted, which allows visualizing financial analytics using various models quickly or by combining them. Also, the article highlights the main advantages of using analytical software in financial project management and gives recommendations on using five strategies for effective visual analytics of enterprise financial project management.

Construction Schedule Management System for Large-Scale Construction Projects Based on Multisensor Network.

As an important task of construction project management, construction schedule management is related to the realization of project period, cost, quality, and other objectives. However, in actual construction, problems such as difficulties in plan implementation and management are often encountered, and schedule delays often occur. Moreover, with the increase in the scale and complexity of modern buildings, the management of construction schedules has brought about larger issues and higher requirements have been put forward for the management level of the construction schedule. The traditional timetable management and scheduling is not highly relevant to the project entity. There is no entity change, the project information loss is serious, the tracking and control of the construction timetable is not in place, there is fine management, and the construction timetable management cannot meet the needs of modern construction. In order to ensure the smooth implementation of projects and objectives, it is urgent to explore new management ideas and methods to promote the smooth progress of construction process management. BIM technology has the advantages of visibility, simulation, adjustment, optimization, and advanced data integration, which helps to make up for the shortcomings of previous schedule management and improve the level of construction schedule management. Based on the research situation of large-scale construction project monitoring system and the analysis of information fusion technology, this paper proposes a large-scale construction project monitoring system scheme based on multisensor network information fusion. Through the investigation of the monitoring content, the composition of the multisensor network is determined. This paper is applicable to large-scale construction projects. Through the research and design of hardware modules, software modules, and fusion algorithms, the data acquisition, transmission, calculation, and display functions of the monitoring system based on multisensor network information fusion are realized, which can effectively monitor the entire process of large-scale construction projects.

ANALYSIS OF PROJECT MANAGEMENT SOFTWARE

The article highlights the features of IT project management software to determine the best option with the best quality characteristics and high efficiency by saving time, financial and material resources. It is noted that IT companies can achieve a competitive advantage by implementing project management information systems, namely a comprehensive project management system. The author describes the basic and instrumental parts of the system, its functions, which are implemented using information technology. Modern information technologies are based he such principles as: interactive fashion of operation, flexibility of the process, integration (coherence) with software products. The task of information technology project management is to provide the user with a wide range of functionalities for project activities. Project management systems are considered as sets of tools, methodologies, methods and resources used in the management process, including tools for task planning, scheduling, budget management, resource allocation, documentation, reporting, collaboration. The author analyzes six project management systems: ActiveCollab, JIRA, BaseCamp, Trello, Wrike, TeamworkProjects, describes the functionality of each tool. The article presents the results of comparing project management systems, substantiates the differences and advantages of services, provides recommendations for choosing a project management system. Also he the basis of the presented analysis the alternative in the form of development of own software decision and its expediency is considered.

Project Management Roles and Task for Interior Designer During Design Phase

The interior design process begins with identifying and solving a problem. Good interior design solutions have the power to positively influence people. The process to turn an empty interior into a functionally effective and aesthetically pleasing environment requires a few tasks. The continued misunderstanding of these respective disciplines enables the general public to assume that anyone who creates and furnishes a space with finishes and artworks without a clear understanding of the structural drawings and schematics of that particular space is an interior designer. It is important to ensure that the roles and tasks of an interior designer are not equated to interior decorators and/or interior architects. The aim of the analysis is to validate the importance of project management knowledge in managing interior projects with relation to the professional provision that will improve in Interior design industry needs and expectation from the interior designer towards the knowledge and skills of project management. The objective was to investigate the importance level of interior design professional practices on the Interior design’s task and duties. The quantitative approach was applied in this research to validate the roles and task of interior design project manager in design process of the project. This analysis will demonstrate the significance of a project manager's project management task in an interior design project.