Software Engineering Methods Research Articles

Penerapan Model Incremental Delivery pada Pengembangan Aplikasi Sistem Informasi Hotel Cipta Jakarta

Along with the development of the times, we see many hotels experiencing changes. A change that is rarely reviewed as a news topic is the software overhaul that occurs in hotels from offline to online systems. Lay people only see changes in hotels from a visible perspective, without having to know whether the hotel's system and system applications have changed. One of the factors in system development at Hotel Cipta is the need for hotel management to prioritize the development of system applications from offline to online systems, even web-based. It is not easy to overhaul an existing system application compared to creating a new system application. There are several software engineering methods and models that are commonly used to analyze system needs and design systems in the software development process. One of them is the incremental delivery model. This makes it interesting to try to apply the incremental delivery model to the development of the Hotel Cipta information system application by taking place at the Hotel Cipta on KH. Wachid Hasyim Street, Central Jakarta. In this study, the object of research is the Front Office department.

Guidelines for using financial incentives in software-engineering experimentation

Context:Empirical studies with human participants (e.g., controlled experiments) are established methods in Software Engineering (SE) research to understand developers’ activities or the pros and cons of a technique, tool, or practice. Various guidelines and recommendations on designing and conducting different types of empirical studies in SE exist. However, the use of financial incentives (i.e., paying participants to compensate for their effort and improve the validity of a study) is rarely mentionedObjective:In this article, we analyze and discuss the use of financial incentives for human-oriented SE experimentation to derive corresponding guidelines and recommendations for researchers. Specifically, we propose how to extend the current state-of-the-art and provide a better understanding of when and how to incentivize.Method:We captured the state-of-the-art in SE by performing a Systematic Literature Review (SLR) involving 105 publications from six conferences and five journals published in 2020 and 2021. Then, we conducted an interdisciplinary analysis based on guidelines from experimental economics and behavioral psychology, two disciplines that research and use financial incentives.Results:Our results show that financial incentives are sparsely used in SE experimentation, mostly as completion fees. Especially performance-based and task-related financial incentives (i.e., payoff functions) are not used, even though we identified studies for which the validity may benefit from tailored payoff functions. To tackle this issue, we contribute an overview of how experiments in SE may benefit from financial incentivisation, a guideline for deciding on their use, and 11 recommendations on how to design them.Conclusions:We hope that our contributions get incorporated into standards (e.g., the ACM SIGSOFT Empirical Standards), helping researchers understand whether the use of financial incentives is useful for their experiments and how to define a suitable incentivisation strategy.

Pengembangan Aplikasi Stunting Care untuk Pemantauan Pertumbuhan Anak

Recording the results of conventional child growth measurements in the Maternal and Child Health book has long been carried out by health workers and posyandu cadres at the Bontoharu Community Health Center, Selayar Regency, and posyandu cadres in Bontotangnga Village. This form of recording takes quite a lot of time, is prone to errors, and the results do not display attractive visualizations, so a reliable form of recording is needed to monitor children's growth as an effort to prevent and treat stunting. The method used in this community service is Community Based Research (CBR). To overcome the problem of stunting early, the Stunting Care application was developed. Stunting Care is an application for monitoring children's growth periodically by entering data on the child's height and weight. This application will provide predicted results for children, whether they are stunting, at risk of stunting, normal or high normal and is equipped with various features. The Stunting Care application was developed using agile development software engineering methods and through black box testing. The test results of the Stunting Care application are classified as good, as indicated by the system functionality running smoothly.

Rekayasa Aplikasi Edutainment Untuk Mengembangkan Sensor Motorik Pada Anak–Anak Berbasis Desktop

Edutainment comes from education, which means education, and entertainment, which means entertainment. So, in terms of language, education is entertaining. In this case, fun learning is usually done with humor, games, role-playing, and demonstrations. Learning can also be done in other ways as long as it can provide fun learning for students. At this age, they are in the most rapid growth and development period, both physically and mentally. Therefore, the author created a desktop-based edutainment application to develop motoric sensors in children that can accelerate growth with the hope that children can directly use the game application and gain more knowledge and change learning patterns not to be bored. This edutainment application is a learning application for early childhood ages ranging from 3 to 6 years, and it contains material for learning letters, numbers, pictures, and counting. The research method and development of this edutainment application is the rational unified process (RUP) method, a software engineering method developed by collecting various best practices in software.

Leveraging artificial intelligence and software engineering methods in epidemiology for the co-creation of decision-support tools based on mechanistic models

Epidemiological modeling is a key lever for infectious disease control and prevention on farms. It makes it possible to understand the spread of pathogens, but also to compare intervention scenarios even in counterfactual situations. However, the actual capability of decision makers to use mechanistic models to support timely interventions is limited. This study demonstrates how artificial intelligence (AI) techniques can make mechanistic epidemiological models more accessible to farmers and veterinarians, and how to transform such models into user-friendly decision-support tools (DST). By leveraging knowledge representation methods, such as the textual formalization of model components through a domain-specific language (DSL), the co-design of mechanistic models and DST becomes more efficient and collaborative. This facilitates the integration of explicit expert knowledge and practical insights into the modeling process. Furthermore, the utilization of AI and software engineering enables the automation of web application generation based on existing mechanistic models. This automation simplifies the development of DST, as tool designers can focus on identifying users' needs and specifying expected features and meaningful presentations of outcomes, instead of wasting time in writing code to wrap models into web apps. To illustrate the practical application of this approach, we consider the example of Bovine Respiratory Disease (BRD), a tough challenge in fattening farms where young beef bulls often develop BRD shortly after being allocated into pens. BRD is a multi-factorial, multi-pathogen disease that is difficult to anticipate and control, often resulting in the massive use of antimicrobials to mitigate its impact on animal health, welfare, and economic losses. The DST developed from an existing mechanistic BRD model empowers users, including farmers and veterinarians, to customize scenarios based on their specific farm conditions. It enables them to anticipate the effects of various pathogens, compare the epidemiological and economic outcomes associated with different farming practices, and decide how to balance the reduction of disease impact and the reduction of antimicrobial usage (AMU). The generic method presented in this article illustrates the potential of artificial intelligence (AI) and software engineering methods to enhance the co-creation of DST based on mechanistic models in veterinary epidemiology. The corresponding pipeline is distributed as an open-source software. By leveraging these advancements, this research aims to bridge the gap between theoretical models and the practical usage of their outcomes on the field.

UaiGuia: Enhancing tourist experiences in São João del-Rei, Brazil, through personalized route creation and cultural immersion

<p>Digital transformation is becoming increasingly essential for developing the global economy. Within this advancement framework lies the tourism industry, where the growing demand from travelers for new experiences drives the search for increasingly technological solutions. Among the many tourism segments are religious, natural, gastronomic, and cultural tourism. These, in turn, seek to offer travelers personalized options based on individual preferences and specific interests. Given the significant growth of Brazilian tourism in recent years, it seems coherent to enhance new technologies that can invigorate the sector. In this regard, this research proposes the development of a mobile application designed to assist users in creating personalized routes in the city of São João del-Rei (Brazil). The study employed design science research with software engineering methods to achieve the desired outcome. The result is the creation of the mobile application called UaiGuia, which provides a distinct approach to exploring the rich culture and tourist attractions in the city of São João del-Rei. The app’s main characteristic is allowing tourists to create routes based on their interests according to the local features. Moreover, access to cultural events, festivals, and other attractions via the application enhances the stay in the city even further, supporting a better immersion in the richness of the region’s heritage.<strong></strong></p>

Representation of some principles of the Agile Manifesto in the Semat Essence Kernel

The Agile Manifesto (AM) provides principles guiding agile software development as an alternative to traditional software development processes. While attempts have been madeto adapt processes to the agile context, representation of AM principles remains underdeveloped and subjective. The Semat (Software Engineering Method and Theory) Essence kernel offers a common ground for representing software development endeavors. In this paper, we represent some AM principles using the language provided by the Semat Essence kernel to establish a common ground. Additionally, we define constraints in OCL (Object Constraint Language) to enhance the Semat Essence kernel, enabling the introduction of time management in our representation. Such a representation will allow us for adapting and assessing different processes in an agile context.

Survey of MCDM-Based Software Engineering Method

Multi-criteria decision making (MCDM) is an operation research subfield (OR). Decision-making is primarily a process involving various actors, including individuals, groups of individuals, institutions, and the state. As a discipline, multi-criteria decision-making is relatively new Many researchers have devoted their time to developing new MCDM models and techniques since the 1950s and 1960s, when the foundations of modern multi-criteria decision-making methods were laid. Research and development in the area have intensified recently and appear to be developing tremendously. Few attempts have been made to systematically convey the theoretical foundations and advancements of multi-criteria decision-making systems, despite the widespread and intense development. The framework for evaluating judgments and the methodological options are still up for debate. In this paper reviews of MCDM/MADM technologies will be included describing their scenarios. Making a decision that is more appropriate than others to solve a particular problem is the goal of decision-making (DM), so this study presents a review of the advantages and disadvantages of different decision-making techniques, specifically in the field of software engineering.

Operational semantics in a domain-specific robot control language: A pedagogical use case

In this paper, we focus on some aspects of structural operational semantics for a selected domain-specific language for robot control. After defining a syntax for two independent languages for control of a robot?s movements, we define a structural operational semantics for them. The integrated part of structural operational semantics is abstract implementation, which consists of defining abstract machine and transformation of a programming language to abstract machine instructions. The achieved results as well as the mentioned research are a part of the research in the field of semantic methods, where we focus on the formalization of semantic methods for software engineering. This area is also very important for the training of students and young IT experts because the semantic methods can help to understand program behavior and detect errors in program design. To make the teaching of formal semantics in the field of domain-specific languages more attractive, we have also prepared an application that serves to visualize the individual steps of the program on an abstract machine ? simulation of translated code with visualization of a robot?s movement.

Aplikasi Teknologi Augmented Reality untuk Media Pembelajaran Olahraga Renang

Swimming is a popular water sport, but the current learning process still relies on traditional printed books. To enhance the learning experience of this sport, this study aims to create and develop learning materials that use augmented reality technology. The research applies the waterfall software engineering method, which includes analysis, system design, implementation, and testing. During the analysis stage, observational data and questionnaires are collected to determine the application's scope. The system design stage includes conceptual design in the form of use cases and physical design in interface design. The design implementation phase is carried out using Unity 3D. The testing phase involves testing the feasibility of media and products using dichotomous scales and black box testing. Our research shows that augmented reality technology can be used as a tool for learning swimming sports. Our tests showed that the product feasibility is 94.7% and media feasibility is 95%. This proves that the application is highly feasible according to media experts and user respondents. The results of black box testing also show that the functionality of the system has been responsive, accurate, compatible, and successful to run all menus and features. Thus, this application can be distributed to be used as a medium for learning swimming sports.

E-COMMERCE APPLICATION IN ORDERING FLOWER BOUQUETS USING THE RUP (RATIONAL UNIFIED PROCESS) METHOD

E-commerce is an online sales application that makes it easier for customers to buy and sell in cyberspace or via the internet. Application for utilizing e-commerce in ordering flower bouquets using the RUP (Rational Unified Process) method. The RUP method is Rational Unified Process (RUP) which is a software engineering method that was developed by collecting various best practices found in the software development industry.

Hypermedia-based software architecture enables Test-Driven Development.

Using agile software development practices, develop and evaluate an architecture and implementation for reliable and user-friendly self-service management of bioinformatic data stored in the cloud. Comprehensive Oncology Research Environment (CORE) Browser is a new open-source web application for cancer researchers to manage sequencing data organized in a flexible format in Amazon Simple Storage Service (S3) buckets. It has a microservices- and hypermedia-based architecture, which we integrated with Test-Driven Development (TDD), the iterative writing of computable specifications for how software should work prior to development. Relying on repeating patterns found in hypermedia-based architectures, we hypothesized that hypermedia would permit developing test "templates" that can be parameterized and executed for each microservice, maximizing code coverage while minimizing effort. After one-and-a-half years of development, the CORE Browser backend had 121 test templates and 875 custom tests that were parameterized and executed 3031 times, providing 78% code coverage. Architecting to permit test reuse through a hypermedia approach was a key success factor for our testing efforts. CORE Browser's application of hypermedia and TDD illustrates one way to integrate software engineering methods into data-intensive networked applications. Separating bioinformatic data management from analysis distinguishes this platform from others in bioinformatics and may provide stable data management while permitting analysis methods to advance more rapidly. Software engineering practices are underutilized in informatics. Similar informatics projects will more likely succeed through application of good architecture and automated testing. Our approach is broadly applicable to data management tools involving cloud data storage.

APPLICATION UTILISATION OF API AND B-SHARE APPLICATION FOR PROVIDING BLOOD AVAILABILITY INFORMATION

lack of information about the availability of blood to be a problem that is not uncommon in the daily life, there are many medical cases that require blood transfusion procedure. Practically, the hospital will entrust the patient’s family to find blood bags with the required blood type. Families with little knowledge about where to find blood will encounter confusing situations. Whereas they have to find it fast. if a blood transfusion is done too late, then even death may occur, because of this, it is expected that the existence of a public service that can provide information quickly and accurately blood that can be utilized by the community. In the development of the technology of internet this day it could be used to increase the public service and fulfill the needed of information, especially for the government who hasn’t provided the information about blood availability location based on geolocation that should be easily accessed by all people. Because information about the availability of blood is very important information to be known to the community as of the Information needed so we would develop the geographical information system to search the location of PMI and hospitals having the blood supply. The chosen method for this program is Requirement Analysis, Conceptual Modeling, Implementation, and testing. This method is the one of development method of software engineering so that produced an application that could solve the problem by providing a software that integrates blood stock information across PMI and hospitals branches in all over Indonesia. This information system integrates blood stock information across PMI branchesandhospitals all over Indonesia, providing access to real time blood stock updates to people, providing information about PMI branchesandhospitals locations across Indonesia in the shape of a map complete with the contact number

Clinical intervention effect of computer-aided therapy based on software engineering on patients with schizophrenia

BackgroundSchizophrenia (SCH) is a serious mental disorder of unknown aetiology, with clinical symptoms involving sensory perception, thinking, emotions, behavior, and other aspects. When symptoms occur repeatedly and the condition persists, the patient’s life and learning abilities are significantly impaired and gradually exhibiting cognitive impairment. The treatment effectiveness and rehabilitation process for SCH are often complex and diverse. This study developed a computer-aided treatment system using software engineering methods to evaluate its impact on the clinical intervention effectiveness of schizophrenia patients.Subjects and MethodsA total of 300 patients with schizophrenia were selected for the experiment and divided into an experimental group and a control group, with 150 patients in each group. The experimental group received a 6-month intervention using a computer-aided treatment system, while the control group received traditional treatment methods. Evaluate using the Positive and Negative Symptom Scale (PANSS) and record the changes in scores before and after the intervention in both groups. The process data was analyzed using SPSS.ResultsAfter 6 months of treatment, the PANSS score of the experimental group significantly improved, with a statistical difference compared to the control group (P<0.05). The treatment compliance of the experimental group was also significantly improved, with higher patient satisfaction.ConclusionsComputer-assisted therapy based on software engineering has shown positive effects in clinical interventions for schizophrenia and can serve as a beneficial supplement to traditional treatment methods. Future research needs to further improve the usability of the system and explore its applicability in different types of mental disorders and treatment stages.AcknowledgementScience Research Fund Project of Yunnan Education Department in 2019 (No. 2019J0999).

Development of an Environmental Monitoring System Based on Spatial Marking and Machine Vision Technologies

Introduction. The use of available satellite images and aerial photography by unmanned aerial vehicles (UAVs) in the tasks of environmental monitoring is challenged by the imperfection of existing tools. Geographic information systems are characterized by insufficient flexibility to automatically work with heterogeneous sources. The latest models based on artificial intelligence in ecology require preliminary data preparation. The article presents the results of designing a software system for environmental monitoring based on machine vision sensor data, which provides data unification while being flexible both in terms of data sources and methods of their analysis.Aim. Creation of a generalized software system for coordinated spatial marking of heterogeneous machine vision data for environmental monitoring tasks.Materials and methods. Software engineering methods, database theory methods, spatial markup methods, image processing methods.Results. A generalized method for unifying data was developed. The method is based on the analysis of existing open data from remote sensing of the Earth, as well as UAV aerial photography and approaches to environmental monitoring. To implement the method, a flexible architecture of the software system was designed, and a data model for a document-oriented DBMS was developed, which allows storing data and scaling the data analysis procedure.Conclusion. The existing sources of data and tools for environmental monitoring were analyzed. A generalized method for unifying machine vision data, an architecture, and a data model was created. The method, architecture, and model were successfully implemented as a software system with a web interface

Software Engineering: New Methodologies, Tools, and Best Practices in Software Development

Software engineering is a dynamic field that is always evolving to meet the demands of difficult software development projects. This journal article investigates contemporary software engineering methodologies, tools, and best practices in order to enhance the efficiency, quality, and dependability of software development processes. We discuss the most recent advancements in quality assurance, DevOps, agile software development, and automated testing. We also look at the role that cooperation, communication, and project management have in efficient software engineering methods. By highlighting these advances, this article aims to promote the delivery of high-quality software products and improve software development processes.

SEMAT Essence Game: A Fun Way to Learn about the SEMAT Initiative

Objective: we aim to propose the SEMAT Essence game, a game-based simulation of the big picture related to the SEMAT Essence kernel. SEMAT (Software Engineering Method and Theory) is an initiative for re-founding software engineering based on a solid theory, proven principles, and best practices. SEMAT has the Essence kernel of universal elements for any software engineering endeavor. The SEMAT Essence has been taught by using workshops and some games, but such strategies only cover some topics related to the kernel. Materials and methods: We use the SEMAT Essence kernel as a starting point and we select a game to be the template of our game. Then, we define the metaphor linked to our field of study and design the game by defining equivalences to the game elements. Results and discussion: We also show the results of practicing the game with a set of students from four universities by summarizing the answers to a survey. Conclusions: Results are promising since practitioners report some usage of the SEMAT Essence kernel elements after the game and they are satisfied with the fun factor, realism, and the current version of the game.

RANCANG BANGUN WEBSITE MANDAYS PROJECT UNTUK MENENTUKAN PENJADWALAN SYSTEM INTEGRATION TESTING DAN USER ACCEPTANCE TESTING

The project control process certainly needs several objectives to reach. For a banking agency, convenience and maximum results are a priority that must be estimated. The process of determining the schedule for carrying out system integration testing (SIT) or User Acceptance Testing (UAT) is currently only based on arguments, verbal discussions, and estimates so the process of making project documentation or project implementation is hampered due to unclear determination or timing of testing and also slow to get agreement on when system integration testing and user acceptance testing processes should be completed. The method used in this study is a qualitative method with data collection methods using field observations, interviews, and literature study. The Software Engineering Method uses the SDLC (Waterfall) model using the PHP programming language and MYSQL database. The results are in the form of a system prototype to determine SIT and UAT scheduling so that the Quality Assurance (QA) must know how many days must be prepared based on the man-days score of the project. The implementation of this system can provide convenience for project users and IT implementers in determining the SIT and UAT scheduling processes

Aplikasi Penjadwalan Dan Monitoring Terapi Anak Dengan Autisme Berbasis Android Menggunakan Metode RUP (Rational Unified Proces)

Currently, the trend is that the number of children with autism spectrum disorders (autism) is growing in Indonesia is showing an increasing number and a wider spread, not only in urban areas but also in villages and remote areas. Early and intensive treatment and choosing the right method will make a difference for children with autism to achieve behavior that is appropriate to the child's age. The method of handling autistic children is often called an intervention or a treatment that is repeated. Intervention or therapy is carried out at a child autism center or service. Based on the research team's search for autism service centers (PLA), there are approximately 20 autism and disability service centers in Denpasar. Autism service centers usually have therapy services including speech therapy, occupational therapy, physiotherapy, and aquatic therapy. At this time, the use of smartphones has become a way of life for almost all levels of society. People are used to using Android smartphones to communicate through social media. In general, these smartphones have not been utilized optimally for productive activities. This research will discuss an Android-based application that was developed to assist administration services to PLA in the form of data collection on children with autism. The system development method used is the RUP (Rational Unified Process) method. RUP is a software engineering method developed by collecting various best practices in the software development industry. The system to be built has 2 actors, namely the PLA admin and parents as users. The PLA admin is in charge of managing administration such as child data, therapy data, therapy schedules and history of therapy results. Based on the calculation results from the Likert scale, the authors conclude that the level of user satisfaction in terms of benefits ranges from 88.5% which is in the satisfied category, in terms of effectiveness it is obtained 91.1% which is in the very satisfied category, in terms of interface it is obtained 86.5% which is in the very category satisfied and in terms of content, it was found that 89% were in the very satisfied category.

Mapping the Course Objectives and Program Learning Outcomes of Software Engineering Course by Bloom’s Revised Taxonomy

The outcomes of software engineering can have a significant impact on the success of a software project and the satisfaction of its stakeholders. The results of the study provide a clear understanding of how success can be achieved in a program. Bloom’s Revised Taxonomy is a framework used to classify learning outcomes in terms of different levels of complexity and cognitive ability. It can be used to assess the active learning outcomes of a software engineering course. Bloom's Revised Taxonomy can be applied to assess the active learning outcomes of a software engineering course. Assessing the active learning outcomes of a software engineering course using Bloom's Revised Taxonomy, educators can ensure that students are gaining a deep understanding of the material and are able to apply what they have learned in new and innovative ways. The main goal of the survey was to enable computer science students to use real-world software to help them make better decisions. Other objectives of this research include: (1) students having good communication with teachers gives them the opportunity to feel motivated and involved in the software engineering learning process and (2) Improve teaching and learning methods for Software Engineering. This research design is for undergraduate computer science students.