Agile Software Development Research Articles

Early Estimation in Agile Software Development Projects: A Systematic Mapping Study

Estimating during the early stages is crucial for determining the feasibility and conducting the budgeting and planning of agile software development (ASD) projects. However, due to the characteristics of ASD and limited initial information, these estimates are often complicated and inaccurate. This study aims to systematically map the literature to identify the most used estimation techniques; the reasons for their selection; the input artifacts, predictors, and metrics associated with these techniques; as well as research gaps in early-stage estimations in ASD. This study was based on the guidelines proposed by Kitchenham for systematic literature reviews in software engineering; a review protocol was defined with research questions and criteria for the selection of empirical studies. Results show that data-driven techniques are preferred to reduce biases and inconsistencies of expert-driven techniques. Most selected studies do not mention input artifacts, and software size is the most commonly used predictor. Machine learning-based techniques use publicly available data but often contain records of old projects from before the agile movement. The study highlights the need for tools supporting estimation activities and identifies key areas for future research, such as evaluating hybrid approaches and creating datasets of recent projects with sufficient contextual information and standardized metrics.

Implementasi Metode CRM (Customer Relationship Management) pada Sistem Informasi Website Nadu Screen Printing

This research aims to implement the CRM (customer relationship management) method on the Nadu Screen Printing website information system which is useful for simplifying customer orders and processing customer databases. This research uses the Agile software development method. The evaluation results with the System Usability Scale (SUS) show that this system meets the standards with a final score reaching 86.5 in the "Acceptable" category with a grade scale of "A" and a rating of "Best Imaginable".

Accelerating Evidence Synthesis in Observational Studies: Development of a Living Natural Language Processing-Assisted Intelligent Systematic Literature Review System.

Systematic literature review (SLR), a robust method to identify and summarize evidence from published sources, is considered to be a complex, time-consuming, labor-intensive, and expensive task. This study aimed to present a solution based on natural language processing (NLP) that accelerates and streamlines the SLR process for observational studies using real-world data. We followed an agile software development and iterative software engineering methodology to build a customized intelligent end-to-end living NLP-assisted solution for observational SLR tasks. Multiple machine learning-based NLP algorithms were adopted to automate article screening and data element extraction processes. The NLP prediction results can be further reviewed and verified by domain experts, following the human-in-the-loop design. The system integrates explainable articificial intelligence to provide evidence for NLP algorithms and add transparency to extracted literature data elements. The system was developed based on 3 existing SLR projects of observational studies, including the epidemiology studies of human papillomavirus-associated diseases, the disease burden of pneumococcal diseases, and cost-effectiveness studies on pneumococcal vaccines. Our Intelligent SLR Platform covers major SLR steps, including study protocol setting, literature retrieval, abstract screening, full-text screening, data element extraction from full-text articles, results summary, and data visualization. The NLP algorithms achieved accuracy scores of 0.86-0.90 on article screening tasks (framed as text classification tasks) and macroaverage F1 scores of 0.57-0.89 on data element extraction tasks (framed as named entity recognition tasks). Cutting-edge NLP algorithms expedite SLR for observational studies, thus allowing scientists to have more time to focus on the quality of data and the synthesis of evidence in observational studies. Aligning the living SLR concept, the system has the potential to update literature data and enable scientists to easily stay current with the literature related to observational studies prospectively and continuously.

A Cloud-KPIs Dashboard to Evaluate Agile Development Teams' Performance

In agile software development, the performance of human development teams is pivotal for project success, yet assessing their performance can be challenging, given the flexibility of agile project management. This article introduces predictive metrics for evaluating development teams, including indicators like delivery speed, code quality, internal collaboration, and problem-solving efficiency. It also discusses the tools and techniques available for measuring team performance, such as productivity tracking, code quality analysis, and feedback from users and customers. Real-world experiences with these metrics demonstrate their effectiveness in significantly enhancing human development teams' efficiency and effectiveness in managing agile software projects. By utilizing these metrics, development teams can pinpoint areas for improvement, adapt to changes, and enhance their capacity and skills to meet project objectives. In conclusion, this article underscores how predictive metrics contribute to the success of development teams in agile software projects within an ever-changing.

FRAMUX-EV: A Framework for Evaluating User Experience in Agile Software Development

Agile software development prioritizes customer satisfaction through the continuous delivery of valuable software. However, integrating user experience (UX) evaluations into agile projects remains a significant challenge. Existing proposals address specific stages that apply UX evaluation methods but do not fully consider UX artifacts or UX events for integrating user experience into agile processes. To address this gap and support teams, we propose FRAMUX-EV, a framework for evaluating UX in agile software development using Scrum. FRAMUX-EV introduces seven UX artifacts: (1) UX evaluation methods, (2) UX design system, (3) UX personas, (4) UX responsibilities and roles, (5) UX evaluation repository, (6) UX backlog, and (7) UX sprint backlog; and four UX events: (1) pre-planning UX meeting, (2) pre-review UX meeting, (3) weekly UX meeting, and (4) weekly user meeting. The first version of the framework was developed using a seven-step methodology with a qualitative approach. A survey of 34 practitioners validated the usefulness and ease of integration of FRAMUX-EV components, yielding positive results. These findings suggest the potential of FRAMUX-EV as an interesting proposal for integrating UX into agile software development.

What helps Agile remote teams to be successful in developing software? Empirical evidence

Software development firms have specific goals but today's dynamic business environment, especially regarding the use of remote teams, presents great challenges due to uncertainties and multiple risks. This study investigates the facilitators of the success of Agile software development projects delivered by remote teams. We employ a conceptual research model founded on the technology-organization-environment (TOE) framework. The study contributes to the literature by exploring how remote teams affect the success of Agile software development projects. Partial least squares structural equation modeling (PLS-SEM) analysis of the data collected from 198 IT professionals revealed that perceived pressure from government, job performance, and team satisfaction are significant in explaining these projects’ success.

Agile Methodologies In The Automotive Industry: A Comprehensive Survey

The automotive industry is undergoing a major transformation driven by trends such as autonomous driving, connectivity, electrification, and rapid digitalization. This results in embracing agile software development practices and new digital architectures to accelerate development cycles and manage increasing complexity. This paper discusses the insights on the agile methodologies into automotive software procedures, extending agility beyond software units , integrating agile with product lines, addressing security concerns, and constructing advanced digital platforms for automotive systems also assessment models like ASPLA (Agile Software Product Line Adoption) for agile adoption in software product lines, and future research directions towards realizing the vision of intelligent, self-driving, connected vehicles through continuous evolutions in agile-based development processes, digital architectures complying with quality standards, cross-domain collaborations, and empirical validations

Development and Implementation of Automated Notarial Data Management System

The Automated Notarial Data Management System presents a comprehensive overview of the development, implementation, and assessment of a digital system designed specifically for notarial offices. The system used Agile Software Development which is more appropriate for the completion of the system. The features of the new system include file upload and download functionalities, file sharing, folder creation, deletion, renaming, and viewing. The system evaluation focused on efficiency, usability, and reliability based on a survey conducted among office staff. The implementation results showcase improved workflow and document organization within the notary office, increasing efficiency and client satisfaction.

Evolution of Requirements Engineering in Agile Methodology – Literature Review

Requirements Agile approaches have transformed engineering. This paper shows how RE in Agile software development has evolved from documentation-heavy to collaborative, adaptable, and customer-focused. Agile was born in the mid-1990s when the industry realized it needed to respond to changing client needs and market volatility. This evolution includes iterative development, client interaction, and emphasizing communication above documentation, as discussed in the paper. By comparing conventional and Agile RE approaches, we demonstrate the benefits of adapting to change, working with customers, and delivering functional software faster. This analysis provides a persuasive description of Agile RE implementation methodologies and resources through a detailed literature review and real-world experiences. User stories and backlog refinement are notable techniques. The research finishes by exploring how these techniques affect team dynamics, project success, and customer satisfaction. RE's Agile difficulties and opportunities are also examined. The findings illuminate RE methods' successful adaptation to Agile projects' dynamic character. Software development is more responsive and effective due to this adaptation.

Designing a Photography and Videography Booking Website (Dizeto) Using Agile Software Development Method with Next.js Framework

Designing a Photography and Videography Booking Website (Dizeto) Using Agile Software Development Method with Next.js Framework

Low/no-code and traditional code integration in digital banking

This paper seeks to combine the merits of low/no-code programming (LNCP) with traditional programming (TP) systems for increased agility in digital banking software development. While it is easy to fall prey to shiny object syndrome in today’s dynamic banking technology landscape, it is not easy to select the right technology to suit the current and future needs of the financial industry. Instead, LNCP makes it possible to lower the technical entry barriers to technology development. Integrating TP with LNCP, when needed, compensates for the shortcomings related to LNCP and provides digital banks with a more comprehensive software development approach. The adoption of this approach improves time-to-market of new innovative financial solutions. There has been little progress in this direction, academically or in practice. This paper includes an empirical study, interviews with banking professionals, on the merits of LNCP and TP, as well as an experimental project implementation that integrates LNCP and TP in the development of a retail Internet banking application. In the context of digital banking solution development, the result of the experiment reveals the merits of LNCP/TP hybrid systems in terms of agility, scalability, change management and cost-effectiveness.

PENDEKATAN FRAMEWORK CODEIGNITER DENGAN METODE AGILE PADA SISTEM PENGGAJIAN (SIP-WEB) PT. GLOBAL PRINTPACK INDONESIA

PT. Global Printpack Indonesia is engaged in plastic factories located in Curug District, Tangerang Regency. The company has 280 employees. With the employee payroll data management system that is already running, it uses Microsoft Excel which is taken from the fingerprint attendance data recap. So that during the HRD payroll process, it takes longer to calculate salaries. Therefore, a computer-based payroll system was developed with a data import feature. The goal is to help simplify the process of recording overtime hours, monitoring employee attendance more efficiently. So HRD does not need to calculate manually. The data collection methods used in the preparation of the thesis are observation, interviews and literature studies and agile software development methods using the codeigniter 3 framework. The existence of this payroll system can make it easier for HRD to calculate salaries automatically to increase efficiency

Perceived impact of agile principles: Insights from a survey-based study on agile software development project success

ContextAgile methodology has emerged as a fundamental framework guiding software development projects, emphasizing values and principles for achieving successful project outcomes. Despite the widespread recognition of the importance of agile principles, there remains a gap in empirical research investigating their actual impact on agile project success. ObjectiveThis research aims to examine the relationship between agile principles and project outcomes and provide empirical evidence supporting the importance of agile principles in achieving success in agile software development (ASD) projects. MethodA total of 298 Agile project practitioners participated in an online survey between August and September 2023 to test this study's research model using the partial least square structural equation modeling (PLS-SEM) method. ResultsWe find a significant relationship between adopting agile principles and project success, with regular delivery, technical excellence, team member proactivity, and customer collaboration showing the highest impact on Agile project success. However, process simplicity was found not to be significant in the study. ConclusionsOur analysis verifies the importance of Agile principles and suggests areas for further study to successfully understand their impact on Agile projects. The findings contribute to the ongoing discourse on agile principles and their impact on software development project success, opening avenues for future research and the refinement of agile methodologies. These insights could assist organizations in optimizing Agile practices and decision-making, leading to more successful and efficient software development projects.

Challenges Implementing Patient and Public Involvement in a Digital Health Agile Project Which Includes Research, Business and Software Development.

Patient and public involvement (PPI) is a practice for involving future users in the design, development, and research of health technologies. There is increasing interest and demand for PPI, but little evidence based methodological support for integrating PPI in agile development processes. Multiple sclerosis (MS) is a chronic condition that severely impacts the lives of patients and requires active patient involvement. In this paper, we present the results of a case study, examining the adoption and integration of PPI into the development of a digital therapeutics solution for MS. The results highlight five critical phases that proved to be challenging: selecting patient participants, onboarding of patient participants and employees, framing tasks for patient participants, communication between patient participants and the rest of the development team, and reimbursements. The results are useful in creating evidence-based guidelines and methods for supporting the adoption of PPI.

Never Mind the Codes of Conduct. DARE You to Tackle Ethics in Software Development for eHealth.

Currently, there are no adequate methods for dealing with changes in the healthcare system brought about by electronic health applications (eHealth) or the associated ethical implications in practice. This can be attributed to the lack of comprehensive interdisciplinary approaches that could support teams in integrating ethical considerations into the agile software development process. To close this gap, the DARE approach has been developed and tested in interdisciplinary collaborative research. The DARE method is a modular system designed to improve the development of ethically sound software in a deliberative, agile, and responsive manner.

Enhancing Agile Story Point Estimation: Integrating Deep Learning, Machine Learning, and Natural Language Processing with SBERT and Gradient Boosted Trees

Advances in software engineering, particularly in Agile software development (ASD), demand innovative approaches to effort estimation due to the volatility in Agile environments. Recent trends have made the automation of story point (SP) estimation increasingly relevant, with significant potential for enhancing accuracy. This study introduces a novel model for software effort estimation (SEE) utilizing a deep learning (DL)-based sentence-BERT (SBERT) model for feature extraction combined with advanced gradient-boosted tree (GBT) algorithms. A comprehensive evaluation shows that the proposed model outperforms standard SEE and state-of-the-art models, demonstrating a mean absolute error (MAE) of 2.15 and a median absolute error (MdAE) of 1.85, representing a 12% improvement over the baseline model and an 18% improvement over the best-performing state-of-the-art model. The standardized accuracy (SA) is 93%, which is 7% higher than the next best model, across a dataset of 31,960 issues from 26 open-source Agile projects. This study contributes to software engineering by offering a more accurate and reliable decision support system for estimating project efforts.

Navigating social debt and its link with technical debt in large-scale agile software development projects

Agile methodologies have emerged as transformative paradigms in the ever-evolving software development landscape, emphasizing iterative development, customer collaboration, and adaptability. As the scope and complexity of projects and organizations expand, applying agile principles within the context of Large-Scale Agile Development (LSAD) encounters distinctive challenges. The majority of challenges encountered in LSAD, technical and non-technical, are attributed to the accrual of social debt. However, a conspicuous gap remains in understanding and addressing social debt in LSAD. This study aims to fill this void by investigating social debt in LSAD through an in-depth industrial case study with a leading Nordic company specializing in telecommunications software and services and focusing on producing secure 5G network solutions. The study investigates the causes of LSAD’s social debt and examines its impacts on secure 5G telecom software development. By addressing these objectives, this research sheds light on a critical aspect of LSAD’s social debt, caused by 3C challenges(communication, coordination and collaboration), social confines challenges, community smells challenges, and organisational social challenges in the telecom sector that have been underrepresented in the existing literature.

An ontology-based tool for modeling and documenting events in neurosurgery

BackgroundIntraoperative neurophysiological monitoring (IOM) plays a pivotal role in enhancing patient safety during neurosurgical procedures. This vital technique involves the continuous measurement of evoked potentials to provide early warnings and ensure the preservation of critical neural structures. One of the primary challenges has been the effective documentation of IOM events with semantically enriched characterizations. This study aimed to address this challenge by developing an ontology-based tool.MethodsWe structured the development of the IOM Documentation Ontology (IOMDO) and the associated tool into three distinct phases. The initial phase focused on the ontology’s creation, drawing from the OBO (Open Biological and Biomedical Ontology) principles. The subsequent phase involved agile software development, a flexible approach to encapsulate the diverse requirements and swiftly produce a prototype. The last phase entailed practical evaluation within real-world documentation settings. This crucial stage enabled us to gather firsthand insights, assessing the tool’s functionality and efficacy. The observations made during this phase formed the basis for essential adjustments to ensure the tool’s productive utilization.ResultsThe core entities of the ontology revolve around central aspects of IOM, including measurements characterized by timestamp, type, values, and location. Concepts and terms of several ontologies were integrated into IOMDO, e.g., the Foundation Model of Anatomy (FMA), the Human Phenotype Ontology (HPO) and the ontology for surgical process models (OntoSPM) related to general surgical terms. The software tool developed for extending the ontology and the associated knowledge base was built with JavaFX for the user-friendly frontend and Apache Jena for the robust backend. The tool’s evaluation involved test users who unanimously found the interface accessible and usable, even for those without extensive technical expertise.ConclusionsThrough the establishment of a structured and standardized framework for characterizing IOM events, our ontology-based tool holds the potential to enhance the quality of documentation, benefiting patient care by improving the foundation for informed decision-making. Furthermore, researchers can leverage the semantically enriched data to identify trends, patterns, and areas for surgical practice enhancement. To optimize documentation through ontology-based approaches, it’s crucial to address potential modeling issues that are associated with the Ontology of Adverse Events.

Research on software reliability enhancement methods based on iterative development

Iterative development is an agile software development methodology that speeds up the development process and increases the flexibility of software delivery. However, the current software requirements change extremely fast, which leads to its increasing uncertainty, and iterative development also faces the challenge of software reliability. The software reliability enhancement method based on iterative development is researched and discussed for the current situation of insufficient reliability in the traditional software development process. In traditional software development, one-time delivery pressure and overall design complexity often lead to software functional defects and instability, affecting software reliability. The iterative development method, on the other hand, improves software reliability by decomposing the software development process into multiple iterative cycles, each of which contains requirements analysis, design, coding, and testing, updating the software functionality in smaller increments, and gradually improving the software product. This study proposes a software reliability improvement methodology by exploring and analyzing the key factors related to reliability in the iterative development process. This dissertation can establish a reliable and high-quality software development process through the steps of meticulous requirements planning and management, iterative development and testing, automated testing and continuous integration, code quality control, defect management and continuous improvement, user feedback and user engagement, and continuous learning and technology enhancement.

Pendampingan Pembuatan Website untuk Sistem Informasi di Panti Asuhan Budi Mulya

This service aims to develop an orphanage website for Field Work Practice (PKL) activities. This form of community service between students and lecturers has the impact of making it easier to process administrative data and information in orphanages. The method used to carry out community service activities uses Agile Software Development and socialization or training. The results of community service show that the website created is feasible and can be used for information and promotion systems at the Budi Mulya orphanage. So it can be concluded that the website created is suitable for use in processing data, helping convey information and promotions about the Budi Mulya orphanage, which was previously done manually.