Software Development Management Research Articles

Особенности внедрения гибких методологий в процесс разработки программного обеспечения в сфере телекоммуникационных услуг

The article discusses the features of the introduction of agile methodologies in the process of software development (hereinafter referred to as software) in the field of telecommunications services. The great need for IT products forces their manufacturers to look for new solutions and approaches that help reduce development time without negatively affecting the quality of the final product. Changing software development processes affects both its technical and business side, including management. Despite the existence of a large number of modern management methodologies, choosing the most appropriate one is a difficult process, as it requires careful setting of goals and search criteria. The success of both the implementing company and the customer company depends on how well the software development management model is selected. The purpose of the study is to unify agile methodology for managing software development in the field of telecommunications services. The objectives are to modernize the software development management system based on Kanban and the UML language and to work out the stages of implementing the methodology. The methodological basis of the research was based on such methods as analysis and systematization, which include systematic, complex and comparative approaches, as well as experiment. The scientific novelty of the work lies in the creation of a unified software development management model for the telecommunications sector. The article notes that the basis of the unified model is the stages of implementation of the Kanban methodology, through which the number of phases of the software development management process and, consequently, the time for project implementation was reduced. The authors emphasize that the developed unified model can be used not only in the management of software development in the field of telecommunications services, but also in any other software development project, regardless of the field of activity.

From Software Management to Software Ecosystem Governance: A Bibliographic Review on Software Governance Practices Within Organizations and Their Evolution

Objective: The objective of this study is to map the publications that deal with IT Governance and the main aspects of Software development, acquisition and maintenance, identifying when the concepts related to software governance emerged and the main search sources for publications on the subject, highlighting the central issues of each of the emerging contexts. Theoretical Framework: A theoretical framework was used on the organizational structure of IT governance areas, focused on directing, analyzing and monitoring software development, differentiating the typical management activities designed by Juiz and Colomo-Palacios (2020). Method: The methodology adopted for this research comprises a qualitative-quantitative approach, using bibliometrics, bibliographic analysis and the application of a fractional authorship algorithm to identify the main authors to publish on the topic. Data collection was done using a set of search databases such as the Web of Science database and the Scopus database. Results and Discussion: The results obtained revealed the main authors identified in each of the databases searched, as well as the central themes of the searched themes, indicating the first appearance of each term and its main article. It is also possible to analyze the academic production related to each of these themes. Research Implications: The practical and theoretical implications of this research indicate fields of research that have become popular, bringing perspectives for future work, as well as fields that are being poorly explored in software development governance and management. Originality/Value: This study contributes to the area of ​​Information Technology management as the main themes studied in governance and management of software development formalize essential concepts for these fields of research and promote process improvement.

Development of a calibration management and critical analysis software using NFC technology

The ISO 17025 standard from 2017 aims to ensure the quality of services and results obtained through laboratory equipments. The standard guarantees that equipment testing, calibration, and maintenance are carried out according to internationally accepted quality standards, which ensures greater efficiency, lower costs, and conveys more trust to clients. In this work, it is presented the development of an application to manage the calibration of equipment in a company, along with a critical analysis of certificates. This application was developed for Android and iOS using the Flutterflow tool, and all the information regarding the equipment is securely and efficiently stored in a Firebase Firestore database. The application also supports the use of NFC tags integrated with the equipment to facilitate access to information in hard-to-reach environments. The solution is already in operation in two companies and has shown great potential for use in other companies for equipment calibration management.

Application Performance Management in Software Development

This study investigates the crucial function of Application Performance Management (APM) in software development, emphasizing how it affects teamwork, user pleasure, and application quality. Successful APM procedures are now necessary to guarantee the best possible application performance in a competitive environment as businesses depend increasingly on digital solutions. Examining how APM is changing and how it affects software development processes is the main goal of this research. The study's objectives are to evaluate the efficacy of APM methods, uncover important themes, and point out areas that require more investigation. The main issue addressed is the lack of knowledge on the long-term effects of APM on business results and the difficulties that businesses encounter when implementing APM methods. The approach used in this study is qualitative and is based on secondary data collected from industry reports, expert analyses, and existing literature. The main conclusions show that APM is included in DevOps procedures, proactive monitoring is becoming more prevalent, and user-centric metrics are prioritized. Nonetheless, there are still issues with tool selection and use. One of the limitations of this study is using secondary data, which might not fully represent the subtleties of APM practices. The practical implications emphasize the value of implementing cutting-edge monitoring systems and encouraging teamwork. In contrast, the theoretical implications point to the necessity for additional study into the long-term impacts of APM.

Quality Management in Software Development

Introduction. The scientific literature examines various approaches to quality management in information technology (IT). The issues of identifying and correcting defects are worked out, and the possibilities for minimizing them are shown. There are materials on quality management in complex engineering processes. At the same time, there is no detailed description of quality management at each stage of the IT product life cycle, including testing. It should be noted that the coordination of software releases is closely related to quality management, but this process is rarely or fragmentarily considered in the literature. Additionally, the interprocess communication is not taken into account; therefore, there is no comprehensive understanding of quality management in the creation, testing and refinement of software. This study is designed to fill these gaps. The research is aimed at presenting a comprehensive approach that links the theory, practice and methods of software quality management.Materials and Methods. Theoretical and applied literature on the subject were studied, analyzed, and reviewed. The author's professional background in managing the quality of IT products was used. The practices of global suppliers of digital goods and services were taken into account. The author has used these materials and methods to study in detail the issues of software testing and code deployment.Results. A comprehensive model of quality management in software development is elaborated, described and presented in the form of a diagram. Its interconnections with the project management model and the product life cycle, namely: analysis, design, development, testing, deployment, and support, are identified. Principles of quality management at each of these stages are specified. The processes and checks during code deployment are systematized and presented in the form of a diagram. Their features are shown in three environments: during development, testing, and production.Discussion and Conclusion. The algorithm allows quality experts to build the sequence of actions to eliminate detected defects in the future, understand the situation when it is possible (or impossible) to deploy code, and determine the moment when the software should be transferred to the user. In addition, the proposed scheme can be the basis for automating code deployment. The solution will reduce development time. As a result, the product will enter the market faster, which will speed up the payback of costs. The implementation of the model created within the framework of this scientific work into the production practice of IT companies presupposes strategic changes. Their implementation requires significant time and other resources; therefore, the overall transformation process should be divided into parts. The proposed approach is adaptable to the needs of various organizations and products. You can work with individual components to create an optimal plan for achieving quality management goals.

KLD: a program to elucidate the localization of the Fermi and Coulomb holes in molecular systems.

The electron localization is a concept that allows scientists to better understand the physical and chemical properties of electronic systems. It is associated with the propensity of electron pairs with opposite spins to accumulate as well as with their response to external perturbations. This paper contains a detailed description of the design and implementation of the program KLD, which was primarily developed in our research group to elucidate electron localization in molecular systems by evaluating the information content of electron-pair density functions. KLD employs two information-based functions as a real space measure of the Fermi and Coulomb holes for same-spin electrons and shows a better resolution as compared to other methods (i.e., ELF). Information about the acceleration of the code is also included in the present work, being noticeable the reduction of wall-time calculation and the error calculation between versions. KLD was designed to be easy to use, extend, and maintain; thus, many principles of modern software development, extensive testing, and package management were adopted. The latest version of the KLD program was created utilizing the Compute Unified Device Architecture (CUDA) version, which allows it to use the computational capacity of NVIDIA Graphics Processing Units (GPUs) for processing purposes. The electron-pair conditional density was calculated from the canonical molecular orbitals obtained at the HF/6-31G(2df,p) level, or alternatively the natural orbitals in the case of explicit correlated wavefunctions computed at the MP2/6-31G(2df,p)//HF/6-31G(2df,p) level.

Formatting work: Cloud platforms and the infrastructuring of capitalist asymmetries in software work

Since the 2000s, so-called cloud computing infrastructures have had a profound impact on the capitalist relationship among labor, software, and organizations. This infrastructuring did not only affect the outsourcing of servers and databases but extends to the on-demand delivery of middleware and operating systems through so-called platforms-as-a-service (PaaS). As a result, the capitalist relationship between labor, organization, power, and software has shifted – both regarding the ways in which software development is organized and the ways in which work processes are organized through software. Such a shift is particularly evident in the development and application of so-called customer relationship management (CRM) software, which is used to plan and record sales and work processes. No longer limited to performance measurement and automated management within sales processes, the widely used Salesforce CRM software is leveraged to document and assess the work performance of employees meticulously, among other applications. To demonstrate how PaaS became central organizational media by reformatting labor and power asymmetries, the paper provides a critical analysis of the CRM software of Salesforce and the various actors and interfaces entangled with its PaaS. Thereby, the paper develops a critical media theoretical framework to analyze how the political economy of adapting PaaS is entangled with power dependencies between organizations and the labor of coding and implementing. Drawing on a platform historiographical analysis of Salesforce developer interfaces, the paper shows how organizational hierarchies and asymmetries manifest in the work of implementing specific sets of operational rules in software development (the work of formatting) and the platform capitalist standardization of work coordination in existing organizations (the formatting of work).

Gamification strategy to promote social and human factors in the training of software engineers: A case study

AbstractSoftware Engineering is a discipline frequently reflected in training strategies. This discipline requires certain levels of abstraction to achieve the competencies and skills necessary for the professional development of future software developers. The software industry increasingly demands that professionals in this discipline have social and human skills to achieve highly productive teams. Therefore, these teams should respond to such demands in a world with increasing dependence on technology and the development of software products. Traditional pedagogical strategies often need help adapting to the new generations of software engineers and responding in a limited way to the demands of teaching processes related to this discipline. This article evaluates a gamification‐based strategy designed for the Software Engineering course at a Latin American higher education institution. This course addressed software project management as a training objective. Such a strategy was designed with a gamification‐based model to influence the productivity of software development teams. The results of using the model show its efficiency and usefulness as a guide for implementing new strategies based on gamification that considers social and human factors (SHFs) to intervene in the productivity of software development teams. The challenges designed in the proposal presented managed to promote SHFs in the participants, according to the analysis of the prepared case study. According to these results, the factors considered relate to skills and experience in managing software development projects, motivation, and communication. The activities executed by the participants in the context of the case study strengthened the human side of the team and allowed its growth to achieve its objectives.

Future of IT Jobs in the Era of Artificial Intelligence

The rapid advancement of Artificial Intelligence (AI) technologies is set to reshape IT jobs in the coming years. This paper investigates AI's evolving role in the sector and its implications for employment trends, drawing from a review of secondary sources including various research journal papers, and reports of White House, World Economic Forum, and McKinsey, etc. It analyses the current AI applications in IT, focusing on areas where automation and augmentation will likely impact traditional roles. The study views AI as complementing rather than replacing human labour, foreseeing potential for new job creation and transformations in existing positions, especially in cybersecurity, software development, and IT infrastructure management. Policy recommendations and strategic initiatives from various stakeholders are examined to maximize AI benefits while addressing employment risks. Insights from government and industry reports stress the need for workforce preparation through reskilling and upskilling. Ethical considerations around AI deployment in IT underscore responsible innovation and inclusive growth. Ultimately, this paper aims to offer a comprehensive overview of AI's future impact on IT jobs, providing insights for policymakers, industry leaders, and educators navigating the evolving digital economy. By synthesizing diverse perspectives and empirical evidence, it informs decision-making for a sustainable and equitable future of work in IT.

Fast development and validation of a Sensing Suite system for CubeSats

Educational CubeSats still remain valuable hands-on practice activity in an academic environment and provide effective and innovative solutions from technical and management points of view. Fast delivery and low cost is the paradigm driving such projects. Contemporary, the simplicity of the solutions has to match with reliability to guarantee the success of the on orbit operations. The present paper shows the entire life cycle of a Sensing Suite System suitable as scientific data collector within a CubeSat, developed in less than four months from the conceptual design to the delivery and reaching the orbit in less than six months. Technical solutions for hardware and software development and test and management good practices are provided. Circuits details to withstand and/or tolerate the space environment and data handling to maximize the number of data and measurements gathered onboard are explained. The use of breadboards and flat-sat arrangements support both the design and verification of the protoflight comprising the schedule and increasing the confidence level on the goodness of the entire solution. The reliability of the design is proven through the entire assembly, integration and verification campaign and validated by the data sent by the satellite during the operative mission.

Bug Tracker User Guide

ABSTRACT___ The Bug Tracking Tool project addresses the pressing need for efficient bug tracking and management in contemporary software development. By leveraging modern web technologies and agile methodologies, the project aims to develop a comprehensive solution that streamlines bug identification, tracking, and resolution processes. Through a literature survey, key observations and shortcomings in existing bug tracking tools were identified, guiding the proposed work. The project’s methodology encompasses requirements gathering, design, implementation, testing, and deployment, focusing on user-centric design and functionality. Preliminary results demonstrate progress towards achieving project objectives, highlighting the tool’s potential to enhance software quality assurance practices and user satisfaction. Despite encountering challenges such as technical complexity and resource constraints, the project lays a solid foundation for future enhancements and optimizations. Overall, the Bug Tracking Tool project represents a significant step towards improving bug tracking practices and delivering higher-quality software products to end-users INDEX TEARMS – HTML, CSS , JavaScript, Python, Django Framework, SQLlite.

A Capability Maturity Model for Benchmarking in Wargames

This research provides an analysis of maturity models, and insights from specific game studies such as unclassified non-kinetic games, supported by contributions from the wargaming community. By proposing a design framework inspired by capability maturity models used in software development, cyber security, and people management, this research introduces a new benchmark for evaluating wargames, in a reproducible and standardised fashion. This model facilitates the identification of strengths and areas for improvement, offering a structured path to higher maturity levels. It aims to enable wargame designers to assess and compare wargame components systematically, enhancing the ability to validate outcomes, predict gameplay effects, and support decision-making with greater confidence. Such advancements could significantly impact policies and improve disaster resilience, particularly within Defence strategy and capabilities, marking a significant advancement in the academic and practical enhancement of the wargaming field.

How did COVID-19 Impact Software Design Activities in Global Software Engineering — Systematic Review

Background: Global Software Engineering (GSE) extends geographical, temporal, and cultural boundaries in distributed environments. Over the past two decades, GSE research has evolved to manage software development for distributed teams. The COVID-19 pandemic highlights the need for comprehensive research, particularly during the software design phase, to support team collaboration in distributed development. Aim: This study systematically analyzes the evolution of research emphasis in the GSE field, specifically exploring on whether the research focuses increasing on software design due to the global pandemic. Method: We systematically analyzed the existing literature in two phases. In the first phase of our study, we mapped GSE research over the two decades leading to the pandemic (2000–2020). In the second phase, we used the forward snowballing approach to examine the literature on the software design phase published between 2020 and 2022. Results: The analysis of 592 research studies in the two phases reveals various trends in GSE research. Evaluation research is the most explored research type in methods and processes, and human aspects of development. Despite the paradigm shift caused by the COVID-19 pandemic that increased reliance on distributed teams, results show that while software organizations are extensively studied across all software engineering phases, the software design phase remains one of the least explored areas. Conclusion: This work highlights the evolving GSE research trends, emphasizing the rising significance of collaborative software design in distributed settings. Our findings address current research gaps and underscore the need for further research on software design activities. This contribution envisions a more collaborative, adaptable GSE field, guiding future research to support distributed teams.

Insights of effectivity analysis of learning-based approaches towards software defect prediction

Software defect prediction is one of the essential sets of operation towards mitigating issues of risk management in software development known to contribute towards enhancing the quality of software. There is evolution of various methodologies towards resolving this issue while learning-based methodology is witnessed to be the most dominant contributor. The problem identified is that there are yet many unsolved queries associated with practical viability of such learning-based approach adoption in software quality management. Proposed approaches discussed in this paper contributes towards mitigating this challenge by introducing a simplified, compact, and crisp analysis of effectiveness associated with learning-based schemes. The paper presents its major findings of effectivity analysis of machine learning, deep learning, hybrid, and other miscellaneous approaches deployed for fault prediction followed by highlighting research trend. The major findings infer that feature selection, data imbalance, interpretability, and in adequate involvement of context are prime gaps in existing methods. The paper also contributes towards research gap as well as essential learning outcomes of present review work.

The development and dissemination of intelligent storage management software of Chinese excellent traditional culture based on blockchain in the era of financial media

With the advent of the era of media convergence, the storage management and inheritance of excellent traditional Chinese culture will usher in new opportunities, creating new opportunities for tapping the contemporary value of traditional culture. This work aims to explore the current protection and innovation of excellent traditional Chinese culture. It takes the digital storage and communication of intangible cultural heritage as an example to summarize the status quo of its storage management and communication, leading to the necessity of intelligent storage of excellent traditional culture. Meanwhile, in terms of intelligent storage management and communication, the application innovation of media convergence combined with blockchain technology has entered the public's vision. To better realize the intelligent storage and communication of excellent traditional Chinese culture, this work mainly studies how to operate the clever integration mechanism of media convergence and blockchain technology and summarizes the advantages of the two. The software development and design of the traditional culture storage system platform are carried out, and the platform's structural characteristics and development process are clarified. Finally, the mechanism is applied to the intelligent storage management and communication of traditional culture to test the time consumption of its network storage and information query. The results show that the test network has a good overall performance, short time consumption and stable operation when the storage network access is not blocked. This work can provide a more diversified information storage management and communication scheme, and provide a theoretical and practical basis for the intelligent storage management and communication of excellent traditional Chinese culture.

Risk management in software development in the field of information protection

In the context of increasing digitalization of sea and river transport, the immersion of the entire transport infrastructure in the digital environment, the volume of information flows serving the transport process is increasing, and the requirements for information protection are increasing in conditions of an aggressive external information environment. In the digital environment, a software product must not only serve the document flow of transport chains, but also ensure its confidentiality. Automation of transport facilities (ships, platforms, berths, warehouses) management increases their potential vulnerability from unauthorized access to control systems; the latter must be taken into account in servicing programs, increasing their size (for example, there is a need to fragment coherent information blocks and their alternative routing). This, in turn, increases the risk of errors in the software products themselves and significantly complicates their structure. Risks of failures (including confidentiality violations) during the software operation that implements information exchange can entail significant material and reputational losses for the developer. If the developer is legally and functionally involved in the industry, such losses can and should be considered among the general range of risks in water transport. An important aspect of risk management, which until recently was practically not considered in a quantitative aspect within the framework of mathematical models, is the joint consideration of losses when a risk situation occurs and the developer’s costs associated with reducing the likelihood of such occurrences; the latter may entail a reduction in the total expected losses, formalized as the corresponding mathematical expectation. As a result, risk management can be formulated in terms of mathematical programming problems with different (discrete or continuous) sets of constraints and with different properties of objective functions.

Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development

Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development

Development of a new reagent inventory management software in research and clinical laboratories

Development of a new reagent inventory management software in research and clinical laboratories

Effect analysis of information-guided enteral nutrition-associated diarrhea treatment process in patients with chronic obstructive pulmonary disease undergoing continuous non-invasive assisted ventilation: a mixed cohort study of pre- and post-control

To clarify the application effect of information-guided enteral nutrition-associated diarrhea (ENAD) management process in patients with chronic obstructive pulmonary disease (COPD) undergoing non-invasive assisted ventilation. A mixed cohort study of pre- and post-control was conducted. Thirty-nine patients with COPD who were admitted to the emergency intensive care unit (ICU) of Huzhou First People's Hospital from July 1, 2021 to July 31, 2022 were enrolled. Taking the completion of the software development of ENAD management software for critically ill patients on January 28, 2022 as the time node, 20 patients admitted from July 1, 2021 to January 28, 2022 were set as the control group, and 19 patients admitted from January 29 to July 31, 2022 were set as the observation group. The two groups of patients received the same enteral nutrition support treatment, and the control group implemented the conventional ENAD treatment process with enteral nutrition intolerance disposal process as the core. On the basis of the control group, the observation group implemented the information-guided ENAD treatment process, and the system software actively captured the information of ENAD patients and reminded the medical team to improve the patient's diarrhea-related examination and provide alternative treatment plans. The duration of antidiarrhea, feeding interruption rate, and energy and protein intake, blood biochemical indexes, incidence of abnormal blood electrolyte metabolism, daily continuous non-invasive assisted ventilation and endotracheal intubation after 7 days of targeted diarrhea intervention were compared between the two groups. Except for the basal pulse rate, there were no significant differences in gender distribution, age, and vital signs, basic nutritional status, arterial blood gas analysis and blood biochemistry at admission between the two groups, indicating comparability between the two groups. When ENAD occurred, the patients in the observation group obtained earlier cessation of diarrhea than those in the control group [days: 3.00 (2.00, 3.25) vs. 4.00 (3.00, 5.00), P < 0.01], and the feeding interruption rate was significantly lower than that in the control group [10.53% (2/19) vs. 65.00% (13/20), P < 0.01]. After 7 days of diarrhea intervention, the energy intake of the observation group was significantly higher than that of the control group [kJ×kg-1×d-1: 66.28 (43.34, 70.36) vs. 47.88 (34.60, 52.32), P < 0.01], the levels of hemoglobin (Hb), albumin (Alb) and serum prealbumin (PAB) were significantly higher than those in the control group [Hb (g/L): 119.79±10.04 vs. 110.20±7.75, Alb (g/L): 36.00 (33.75, 37.25) vs. 31.00 (30.00, 33.00), PAB (mg/L): 155.79±25.78 vs. 140.95±14.97, all P < 0.05], the daily continuous non-invasive assisted ventilation duration was significantly shorter than that of the control group [hours: 14 (12, 16) vs. 16 (14, 18), P < 0.01], and the arterial partial pressure of carbon dioxide (PaCO2) was significantly lower than that of the control group [mmHg (1 mmHg ≈ 0.133 kPa): 66.00 (62.00, 70.00) vs. 68.00 (67.50, 70.05), P < 0.05]. However, there were no significant differences in protein intake, incidence of abnormal electrolyte metabolism, and incidence of endotracheal intubation due to acute respiratory failure between the two groups. The information-guided ENAD treatment process can enable the COPD patients undergoing continuous non-invasive assisted ventilation who experience ENAD to receive earlier cessation of diarrhea, and improve the protein energy metabolism and respiratory function of the patients.

DevOps for Telehealth Services: Accelerating Deployment and Scalability

The use of telehealth services is increasing rapidly to increase access and delivery of remote medical care. However, there are significant technical barriers to rapid and reliable deployment of these services and their ability to handle high patient volumes. This study looks at how DevOps approaches can benefit telehealth providers and let it to overcome this obstacle. To maximize software development and infrastructure management, DevOps focuses on collaboration between development and IT operations teams. Telehealth platforms can be deployed rapidly while leveraging key DevOps skills such as automation, infrastructure-to-code, monitoring, and continuous integration Studies show that these techniques also improve scalability to meet demand changes. This makes it possible for telehealth providers to deliver digitally enabled care to a larger patient base.