Software Development Methodologies Research Articles

Software Process Improvement by Managing Situational Method Engineering Knowledge

Organizational processes have been recognized as valuable knowledge assets. Situational Method Engineering (SME) processes are particularly valuable as they are used for engineering other processes: SME processes help construct bespoke Software Development Methodologies (SDMs) for specific software-engineering project situations. Every SDM has a Software Development Process (SDP) at its heart, which specifies the activities that should be performed throughout the project, the products that should be produced, and the people that should be involved. Existing SME methods suffer from certain weaknesses that are rooted in loss of knowledge within their processes; for instance, the method engineers' experience, which is a kind of tacit knowledge, is not properly captured and utilized in these processes. Managing SME process knowledge helps alleviate these weaknesses through reusing the software developers' experience and maintaining the method engineers' knowledge. We propose an evaluation framework that can be used for assessing an SME method's ability to manage process knowledge. We also provide a model that guides the improvement of existing SME methods in their support for Knowledge Management (KM), and also helps engineer new SME methods that provide adequate KM support. We have assessed the applicability of the proposed evaluation framework and improvement model by using them to enhance eight prominent SME methods, and also by applying them to four industrial case studies.

Sustainable Software Development: A Scrum and Kanban Approach

This The ever-increasing demand for robust software solutions requires continuous improvements in software development techniques. Despite the tremendous positive impact software has on society, it is important not to overlook its negative impact on the environment. With climate change becoming more apparent, it is important to understand and address the environmental impacts of software development.This research seeks to explore ways to integrate sustainable development into existing software development methodologies, with a particular focus on Scrum and Kanban. The research basically consists of two parts: a comprehensive review of existing literature to identify solutions and guidelines for sustainable software development,followed by interviews with developers and managers using Scrum and Kanban methodologies on a regular basis. The goal is to assess the sustainability of their practices and identify opportunities for improvement. Through a literature review, a taxonomy of key characteristics recommended for consideration throughout the software development process was established. Combining these factors with the insights gleaned from the interviews, the study aims to propose the enhancement of software-related planning and development within the framework of Scrum and Kanban, thereby providing factors a sustainability has improved.

Analysis of Traditional and Agile Software Development Process for Developing Recommender Model using Machine Learning

Objective: To create an AI-powered recommendation system that is designed for IT professionals to help them choose the best software development approaches. Through the use of specified data parameters. Methods: The recommendation system will make use of machine learning algorithms and data analysis methods to examine team dynamics, project needs, and other variables. The technology will enable developers to improve the quality of products and speed up the development process by recommending suitable development methodologies. Data parameters considered for the development of the recommendation model fall into four categories: requirements, user involvement, development team, type of project, and risk associated with it. Findings: Existing recommendation systems developed by different researchers are applicable for only requirement elicitation and to recommend different phases of the development process, whereas systems that will help select development methodology are not available in the existing systems. Among the five machine learning algorithms applied in the recommender system building process, the DecisionTree Classifier and RandomForest Classifier exhibit superior performance, achieving 100% accuracy, while the Kneighbors Classifier indicates 94.74% accuracy. Novelty: This study of systems introduces a novel approach to software development methodology, a recommender system, which helps IT developers select the best appropriate development approach for the development of a software product or project based on the type of project to be built and other data parameters. Keywords: Agile, Development, Requirements, Methodology, User, Customer

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Design and Implementation of Computerized Restaurant Table Booking System

The dining landscape has transformed significantly with technological advancements, fundamentally altering how restaurants handle customer reservations. Traditionally, reservations were managed via phone calls or in-person visits, leading to issues like lengthy wait times, uncertain table availability, and limited communication channels. To address these challenges, this paper concentrates on crafting and implementing a Restaurant Table Booking System, aimed at streamlining reservations and enhancing customer experiences. Employing an agile software development methodology ensures flexibility, encourages customer input, and facilitates swift value delivery. Frontend development utilizes HTML, CSS, and Bootstrap for an intuitive user interface, while PHP and MySQL handle backend logic and database operations. Implementation emphasizes reliability and security through the Apache web server.

A systematic methodology for changeable and reconfigurable manufacturing systems development

Pursuing manufacturing competitiveness in the dynamic industrial landscape necessitates implementing changeable and reconfigurable manufacturing systems (RMS) capable of rapid adaptation to varying functionalities and capacities. However, current manufacturing system development methods often overlook product-driven changes during the system's life cycle, hindering companies from effectively responding to shifting demands and technological advancements. Consequently, this research paper proposes a systematic methodology for designing and developing changeable and reconfigurable manufacturing systems to address this gap. The proposed methodology is derived from a synthesis of design theory, reconfigurability theory, and practical insights to guide the development process from conception to implementation. The four-step development method adopts a system life cycle-wide perspective, encompassing (i) identification and clarification of the need for reconfigurability, (ii) formulation of reconfigurable concepts, (iii) detailed design of the reconfigurable system, and (iv) successful implementation and utilization of reconfigurability. Crucially, the development method blends existing RMS development tools and novel tools co-created with industry partners, ensuring its pragmatic and holistic applicability. Each step incorporates specific activities and supporting tools, rendering the methodology flexible and adaptable to diverse manufacturing environments. The proposed methodology was validated through case studies in seven diverse manufacturing companies. The primary contributions of this research lie in integrating new and existing development tools into a comprehensive and practical development method, facilitating a system life cycle-wide approach to RMS design, and promoting industry-specific adaptability. The validation across multiple manufacturing companies ensures the effectiveness and broad applicability of the proposed methodology. Consequently, this paper is a valuable resource for manufacturing companies aiming to enhance competitiveness by adopting changeable and reconfigurable manufacturing systems.

Digital Content for Libraries considering Extended Reality, Physical Interaction Disabilities, Universal Design for Learning and User-Centered Design: A Systematic Review

A systematic review of Digital Content for Libraries, Extended Reality, Physical Interaction Disabilities, Universal Design for Learning and User-Centered Design is presented to find the basis for a software development methodology that covers these characteristics. A protocol oriented to studies in software engineering is used, which consists of the following stages: 1. Defining research questions, 2. Conducting the search for articles, 3. Selecting inclusion and exclusion criteria, 4. Keywords for abstracts, and 5. Data extraction and mapping process. This review is performed through search engines such as Google Scholar, Science Direct, IEEE Xplore, and ACE Library and is limited to publications between 2016 and 2021. Results show an incremental trend in Extended Reality articles but low scientific productivity in Digital Content for Libraries, demonstrating the availability of services that consider the previously exposed topics. Finally, the article defines elements aiming to a future methodological proposal for the construction of Digital Content for Libraries and Extended Reality.

An Electrical Power Inventory and Monitoring System

The Inventory Management and Monitoring System is a software that is helpful for the various business sectors that operate in stores, products, and services where storeowners, products and services proprietors keep the records of sales and purchases, supply and demand, and risk and opportunities. A mismanaged inventory means disappointed customers, too much cash tied up in warehouses, slower sales, and sometimes detrimental to the work relation environment, investments and businesses, and most probably financial losses. Inventory control problems often result in record and physical count discrepancies which may ultimately lead to higher than preferred inventory levels. Conversely, accurate inventory records result in lower inventory investment and are the foundation for forecasting, ordering, tracking, vendor evaluation, dead stock, and administration plans and decisions.
 
 The researcher observed that most of the application of the inventory system was sales and products. Through this study, the researcher applied inventory in terms of electrical maintenance relations which includes electrical supplies, devices and equipment, services, and electrical power consumption. An Agile software development methodology was used in developing the system. The inventory archive maintenance system was developed using Java, HTML, CSS, PHP, PhpMyAdmin, and MySQL. The Inventory System includes Messaging, Supplies Inventory, Job Orders, Repair Records, and Wattage Consumption. Integration of disciplines made the study finished and the user’s manual was produced for guides and references for the use of the system.

SBAA: Simulation-Based Agile Approach to Crowd Control Planning

To prevent crowd incidents, it is important to share information among stakeholders from the planning stage of crowd management. However, numerous stakeholders are typically involved in crowd management for events, and it is difficult for each stakeholder to understand and agree on their goals, roles, responsibilities, and plans. Additionally, given the vast number of scenarios, it is also difficult to consolidate plans in an efficient and effective manner. Therefore, we devised the simulation-based agile approach (SBAA) methodology, which is characterized by “collaboration with stakeholders,” “responding to plan changes,” and “identifying quality requirements for operations through iterative proposals and agreements.” The first two characteristics are consistent with the Agile Manifesto, which has proven successful as a software development methodology. We participated in the creating of a crowd control plan for a local fireworks display and put SBAA into practice. The SBAA methodology and the effectiveness of SBAA in practice are discussed herein.

How primary care research can be improved in clinical practice? An Italian case study.

Primary care is considered essential for the sustainability of the Health System. Practice-Based Research Networks (PBRN) play a strategic role in translation of primary care research into practice. Research Capacity Building in primary care requires a improvement and development strategy and well-developed research infrastructures to support physicians. We used the system development methodology referring to the Lean Thinking to create and support a research team in primary and pediatric care. In particular a "cascade" deployment model and the X-Matrix, a framework used in management studies to support strategy definition and management process. A research unit in primary and pediatric care has been created, by sharing vision, mission, core values, long-term strategies. The definition of a annual planning led to monitoring actions to guarantee the expected goals. Lean methodology is useful to adapt to various managerial and operational contexts, including healthcare. In our case it allowed team members to spread the culture of research, its importance and role to improve the health of patients, thank to the organizational support of a hospital IR, the Research and Innovation Department.

Design and Implementation of Educonnect: A Cloud Native Application for Educational Institutions

Abstract: In modern software environments, a paradigm known as the MERN stack has emerged as an important force due to its breadth of development and management capabilities. Leveraging native MERN (MongoDB, Express.js, React.js, Node.js) software development, deployment, and management techniques with Cloud services, "Educonnect" emerges as an innovative solution for educational institutions seeking efficient and cost-effective data management. This paper deals with the implementation of a cloud native web application Educonnect after a dexterous development strategy to create a cloud native web application. The main focus of this cloud native application is to provide a solution for data organization and collection along with an effective way of sending communication to the students by using cloud services

Quantum software engineering and quantum software development lifecycle: a survey

AbstractQuantum software engineering is advancing in the domain of quantum computing research and application, yet the documentation is scattered. The slow transition from Von-Neumann based computation systems to quantum systems, and conserving the fundamental computing principles in software development and software engineering helps in enrichment of quantum software development. The evolution of quantum computing over the past years shows a shift in the domain of classical computation to quantum computation in the years to come. Future applications such as, quantum AI and quantum machine learning will benefit from quantum software engineering. This survey collects and explores the various documentations in the domain of quantum systems and quantum software engineering. The survey provides an in-depth exploration of quantum programming languages, which is combined with explanations of quantum computing’s fundamentals. The review also goes in-depth about quantum software engineering and quantum software life cycle development, outlining the quantum software reuse methodology that is introduced in the quantum software lifecycle development domain.

Methodology of Eco-Design and Software Development for Sustainable Product Design

In the face of the growing social recognition of environmental awareness and emerging regulations in countries where targets include the reduction of the CO2 footprint in the industrial sector, several companies are facing the challenge of introducing environmental impacts as new key design criteria. To successfully launch new products with optimized environmental impact, it is crucial to apply Life Cycle Assessment (LCA) during the design phase. However, the design process of any product is a process where materials, production processes, concepts, and various design factors are constantly changing, which requires an agile LCA calculation for its effective inclusion during the iterative design process. This paper presents an eco-design methodology, based on the adaptation of the LCA method to the changing design environment, through the adaptation of LCA stages to the design process, the customization of environmental databases to the product of the company, and the development of a software tool for its application during the earlier design phases. This methodology assists designers to save efforts during the calculation process, with different integration levels of environmental data, according to LCA phases established by ISO 14040 and ISO 14044. The effectiveness of this methodology will be shown with a real case study.

Activity-based function point complexity of use case diagrams for software effort estimation

This study proposes a Function Point Analysis (FPA) based software development effort estimation methodology integrated with Use Case Diagrams. These methods include identifying actor activities, classifying those activities into FPA categories, and calculating Unadjusted Function Points (UFP). Followed by the calculation of Technical Complexity Factors (TCF) and Adjusted Function Points (AFP), this study aims to produce more accurate man-hours estimates. Results show a UFP of 162 TCF of 11, AFP of 123.12, and an estimated effort of 1846.8 hours worked, while the actual effort is 1228 hours. Evaluation of estimates using the metrics Mean Magnitude of Relative Error (MMER) 0.34, Mean Magnitude of Relative Error (MMRE) 0.50, Mean Absolute Error (MAE) 618.80, Mean Balanced Relative Error (MBRE) 0.50, Mean Inverse Balanced Relative Error (MIBRE) 0.34, and Root Mean Squared Error (RMSE) 618.80, showed sufficient precision despite the overestimation. The study suggests the need for adjustments in TCF calculations and considering development environment factors in more detail to improve estimation accuracy. These findings are essential in improving the precision of effort estimation methodologies in software development, particularly in projects that use Use Case Diagrams as the primary framework.

Code Smell Detection and Software Refactoring Research: A Systematic Literature Review

Today we are experiencing rapid enhancements in software systems and their development. The software industry's demand for tools and techniques for software development, especially automatic and less time-consuming, is increasing daily. Software refactoring and code smell detection are now expanded from code-level changes to the architecture, model, and requirements restructuring. We are moving from an object-oriented paradigm towards cloud computing, web development and mobile application development and so much more. Therefore, code smell and refactoring techniques are talk of the town in various research communities in their objectives. In this paper we will study the existing tools and techniques, research progress by doing a systematic literature review in the field of code smell detection and software refactoring’s. We will also classify the existing research techniques, identify the trends in code smell detection and refactoring and try to highlight the gaps in the area for researchers.

Efficient Software Development Process Using Component-Based and ORM

The software development process has many variations. Each software development technique has its own advantages and disadvantages. There are efficient development processes and some could be more efficient. This research aims to build a web-based application efficiently utilizing component-based and ORM with a case study of financial management applications on community radio. This research begins with data collection through observations and interviews, requirement analysis, and system design, implementation, and testing. This research shows that combining component-based software development and object-relational mapping (ORM) can increase software development efficiency compared to non-component-based and pure SQL.

Advancing green computing: Practices, strategies, and impact in modern software development for environmental sustainability

Advancing Green Computing: Practices, Strategies, and Impact in Modern Software Development for Environmental Sustainability explores the evolving landscape of green computing within the realm of software development, emphasizing the imperative for environmentally sustainable practices. In response to escalating environmental concerns, the computing industry is undergoing a paradigm shift towards reducing its carbon footprint and mitigating ecological impacts. This shift is particularly crucial in software development, given its pervasive influence on technological ecosystems. The review delves into the multifaceted dimensions of green computing, elucidating various practices and strategies that are instrumental in fostering environmental sustainability. From optimizing code efficiency to embracing energy-efficient computing architectures, the review underscores the diverse approaches available to software developers in minimizing resource consumption and carbon emissions. Furthermore, it examines the broader ramifications of these practices, emphasizing their potential to reshape the software industry's ecological footprint and contribute to global efforts for environmental conservation. Moreover, the review highlights the symbiotic relationship between green computing and modern software development methodologies. It elucidates how principles such as agile development and DevOps can be synergistically integrated with green computing practices to enhance sustainability throughout the software development lifecycle. By adopting an interdisciplinary approach that integrates environmental considerations into software design, development, and deployment processes, organizations can catalyze transformative changes towards a greener computing ecosystem. The review also investigates the tangible impact of green computing practices on environmental sustainability metrics. Through case studies and empirical analyses, it showcases the efficacy of various strategies in reducing energy consumption, carbon emissions, and electronic waste generation. Additionally, it discusses the economic and societal benefits accrued from adopting environmentally sustainable practices, ranging from cost savings to enhanced corporate social responsibility. Advancing Green Computing: Practices, Strategies, and Impact in Modern Software Development for Environmental Sustainability provides a comprehensive overview of the evolving landscape of green computing within the context of software development. It elucidates the myriad opportunities and challenges associated with fostering environmental sustainability in the computing industry and underscores the transformative potential of integrating green computing principles into modern software development practices.

Mitigating Software Vulnerabilities through Secure Software Development with a Policy-Driven Waterfall Model

For the past few years, software security has become a pressing issue that needs to be addressed during software development. In practice, software security is considered after the deployment of software rather than considered as an initial requirement. This delayed action leads to security vulnerabilities that can be catered for during the early stages of the software development life cycle (SDLC). To safeguard a software product from security vulnerabilities, security must be given equal importance with functional requirements during all phases of SDLC. In this paper, we propose a policy-driven waterfall model (PDWM) for secure software development describing key points related to security aspects in the software development process. The security requirements are the security policies that are considered during all phases of waterfall-based SDLC. A framework of PDWM is presented and applied to the e-travel scenario to ascertain its effectiveness. This scenario is a case of small to medium-sized software development project. The results of case study show that PDWM can identify 33% more security vulnerabilities as compared to other secure software development techniques.

A Systematic Review of Risk Management Tools and Techniques in Software Projects

The crafting of software is a continual procedure, and the success of each step of that process is contingent on effective management. Despite this, numerous organizations need help developing e-service systems, frequently dealing with budget constraints and tight deadlines. The lack of focus on risk management in software projects is likely to blame for these failures. Management of risks is crucial to ensuring the success and efficacy of software development projects, as it assists in identifying areas of vulnerability and provides valuable insights into the project's most important aspects. This study identifies and analyzes tools and techniques to support software development projects’ risk management activity. A systematic literature review (SLR) methodology was employed to collect and evaluate relevant research articles. The findings highlight various risk management tools and techniques, including brainstorming, root cause analysis, risk probability assessment, artificial intelligence, and risk response planning. These tools and techniques contribute to identifying, analyzing, planning, and controlling risks in software projects. The research provides insights into the state of the art in risk management. It complements previous studies by offering practical guidance on software development project risk management tools and techniques.

Design and Build API-Based Multistore Marketplace Using Agile Methodology

The business activities of a company require technology that can drive operational efficiency. Marketplaces have become one of the effective marketing channels today for promoting the company's products and services. To reach a broader market, having more than one store on a marketplace is a choice that many companies currently opt for. However, managing multiple stores on marketplaces is not an efficient management approach. This research is an applied study conducted in one startup company (profitto.co.id) that sells developing furniture components, aiming to provide the implementation of an API-based system integration solution to manage multiple stores on Tokopedia and utilizes the Scrum methodology for software development.