Adaptive Software Development Research Articles

PENGEMBANGAN MEDIA PEMBELAJARAN BILANGAN CACAH BERBASIS ANDORID UNTUK SISWA SD/MI DENGAN METODE ADAPTIVE SOFTWARE DEVELOPMENT

Development of Andorid-Based Learning Media on Whole Numbers for Elementary/MI Students Using the Adaptive Software Development Method, The purpose of this study is to develop an Android-based whole number learning media application for SD/MI using the Adaptive Software Development method. The development of this application is divided into 2 iterations. Functional testing method using black-box testing technique. From the results of black-box testing, it show that all features/functions run well and smoothly. The usability method is used to see user ratings of this learning media application. There are 3 aspects which are Learnability, Flexibility, and Effectiveness. The overall value of the usability test results is 78.82%. Based on the eligibility category, the value is included in the feasible category. So that this android-based whole number learning media application is feasible to implement.

Mobile Applications for Self-Handle of Pornography Addiction

Content with pornographic nuances in the form of images, sound, and videos is widely circulating on the internet, including on social media. Teenagers have great potential to become addicted to pornographic content given the widespread use of the internet among adolescents. Pornography addiction has the potential to interfere with the physical and mental development of addicts, even a wider impact can lead to criminal cases in society, such as rape. This paper discusses the development of mobile applications that aim to help pornographic content addicts get rid of pornography addiction problems. The applications developed include a system for assessing the level of exposure to pornographic content, handling and self-care of pornographic content, and a system for detecting the user's location in solitude. The rating system was adapted from the Pornography Addiction Screening Tool (PAST). Handling and self-care pornographic content use the psychological approach of Cognitive Behavioral Therapy (CBT) which has been widely researched and used as a method for mental treatment and healing. An assessment system for the level of exposure to pornographic content and self-care is presented in the application by utilizing chatbot to increase the interactive between the user and the application. The research method uses the Design Research Methodology (DRM) while the method in developing mobile applications uses Agile models as an adaptive software development method. This application is not intended to replace the role of psychologists, but as a supporting tool that can help pornography addicts to reduce their addiction level until they recover. Through black box testing, evaluation results from a functional perspective show that this application can be used as expected.

The Role of object-oriented Programming in sustainable and Scalable Software Development

This study empirically evaluates how various practices and principles of object-oriented programming (OOP) impact the sustainability and scalability of software projects. A detailed analysis of real-world projects is carried out, considering aspects such as encapsulation, code reuse, modularity, and the application of inheritance and polymorphism. The goal was to identify patterns and best practices contributing to efficient and adaptable software development. The main results highlight that the adoption of OOP practices, such as encapsulation, code reuse, modularity, inheritance, and polymorphism, can be essential for efficient and adaptable software development over time, effectively addressing scalability and sustainability challenges in real-world projects.

Cross-checked screening application for reliable categorisation of familial hypercholesterolaemia: design and development of the prototype

The paper describes the development of a computer-based familial hypercholesterolemia (FH) screening application (FH CatScreen©). The application facilitates automatic scoring and categorisation of patients by medical practitioners based on four well-known FH diagnostic criteria. In the absence of a FH diagnostic criterion for Malaysian population, these four diagnostic criteria are commonly used criteria to classify patients FH severity levels to manage early interventions. We applied an adaptive software development approach comprising planning, development and validation phases to develop FH CatScreen©. A user study involving thirty medical practitioners was conducted to evaluate the effectiveness and usability of FH CatScreen©. The study showed that FH CatScreen© was able to provide a more correct, faster and better-informed assessment compared to the traditional paper-based method. The study further showed that FH CatScreen© has a good degree of performance and acceptance by the participants. The participants indicated that the simultaneous use of the four diagnostic criteria in FH CatScreen© has assisted them to compare the outcomes of each of the criterion side-by-side. It allowed them to decide on the severity of patient condition with high confidence. FH CatScreen© has demonstrated its expediency and efficacy in collecting the data on FH incidence and prevalence in Malaysia.

Development of a Distributed Collaborative Research Tool for University-Industry Partnership

This research study aims at developing a collaborative research tool using distributed servers to enhance collaborative research among Universities and Industries to promote innovation. The Adaptive Software Development model was employed due to the innovative nature of the study. Requirements were gathered from key stakeholders to determine the system architecture and various models that supported the system development process. The testing procedure demonstrated that three (3) separately located servers representing University A, University B and Industry Players worked together as one unit such that all users could form Research Teams and collaboratively conduct research work on the platform to boost University-Industry partnership for innovation.

Standardizing the Development of Serious Games for Physical Rehabilitation: Conceptual Framework Proposal

BackgroundSerious games have been used as supportive therapy for traditional rehabilitation. However, most are designed without a systematic process to guide their development from the phases of requirement identification, planning, design, construction, and evaluation, which reflect the lack of adaptation of rehabilitation requirements and thus the patient’s needs.ObjectiveThe aim of this study was to propose a conceptual framework with standardized elements for the development of information systems by using a flexible and an adaptable process centered on the patient’s needs and focused on the creation of serious games for physical rehabilitation.MethodsThe conceptual framework is based on 3 fundamental concepts: (1) user-centered design, which is an iterative design process focused on users and their needs at each phase of the process, (2) generic structural activities of software engineering, which guides the independent development process regardless of the complexity or size of the problem, and (3) gamification elements, which allow the transformation of obstacles into positive and fun reinforcements, thereby encouraging patients in their rehabilitation process.ResultsWe propose a conceptual framework to guide the development of serious games through a systematic process by using an iterative and incremental process applying the phases of context identification, user requirements, planning, design, construction of the interaction devices and video game, and evaluation.ConclusionsThis proposed framework will provide developers of serious games a systematic process with standardized elements for the development of flexible and adaptable software with a high level of patient commitment, which will effectively contribute to their rehabilitation process.

Pengembangan Aplikasi Lelang Karet Berbasis Mobile Sebagai Pendukung Akses Informasi Lelang

Rubber auction cooperatives are cooperatives whose main function is to auction rubber agricultural products for these member communities. Currently, among the problems that exist in the auction process, namely: first, auction entrants must come to the auction site even if only to bid a price. Second, the auction administration process has redundant of entrant data due to having to fill out a form every time they participate in the auction. From these two problems, this research will conduct application development as an auction medium for related parties. The application developed is a mobile-based application so that it can be accessed easily by all parties. The method used in the development process is the adaptive software-development method with three major stages of speculation, collaboration, and learning which was tested using black box testing. The Research Results are an application with the main feature of conducting the auction process from the cooperative's side, and auction participants can bid prices through the application. The application developed also functions properly in accordance with existing features as evidenced by the results of application testing using the black box technique so that it can help the rubber auction process for related parties.

System Development for Land Cover and Deforestation Area Estimation due to Forest and Land Fires

Forest and land fire is one of the causes of peatlands deforestation. Forest and land fire occurred at the beginning of land clearing activities for land conversion known as Land Use, Land Use Change and Forestry (LULUCF). Spatio-temporal data mining technique can be used for estimation of deforested peatland area and its association with forest and land fire. The previous study has compared two classified Landsat 8 images in order to estimate the land cover change in Rokan Hilir district, Riau Province. This research aims to develop an application to automate peatland deforestation estimation due to the forest and land fire using the Shiny framework in R programming language. The data used are Landsat 8 images in 2014 and 2016 of Riau Province and MODIS burned area data product (MCD64A1) image in 2015 of Riau Province. The system was developed using Adaptive Software Development (ASD) method. The main features of the system are land cover area comparison and land cover changes due to forest and land fire calculation. The testing results show that both of the features are successfully implemented. With the automation system in estimating deforestation of peatlands due to forest and land fire, the proses of estimating deforestation levels in peatlands in relation to forest and land fire can easily be done.

Incremental Spatio Temporal Clustering Application on Hotspot Data

Hotspot is one of indications for forest and land fires. Analysis of hotspot data needs to be done as an early warning activity to prevent the occurrence of forest and land fires. The previous study analyzed hotspot clusters using the incremental spatio-temporal density-based clustering (ST-DBSCAN) algorithm. Hotspots in a cluster are considered as strong indicator for forest and land fires. However, clustering of hotspots is implemented on the command line interface. Through this interface, users are required to execute manually the commands to perform the clustering task on the dataset. The disadvantage of command line interface is that the commands have to be typed precisely and mistypes will cause errors.Therefore, this study aims to build a web-based application for clustering hotspot data using the incremental ST-DBSCAN module. This study uses hotspot dataset in the period 2014 to 2017. The application was developed using R programming language and Shiny framework. The method of Adaptive Software Development (ASD) was adopted in this study. The main functions of the application are incremental clustering on hotspot data and visualization of clustering result. The testing using the black box approach show that all features of the application work properly. Based on the result of usability assessment, the user satisfaction level reach 78.45% meaning that the application is quite easy to be used.

RINGA: Design and verification of finite state machine for self-adaptive software at runtime

ContextIn recent years, software environments such as the cloud and Internet of Things (IoT) have become increasingly sophisticated, and as a result, development of adaptable software has become very important. Self-adaptive software is appropriate for today's needs because it changes its behavior or structure in response to a changing environment at runtime. To adapt to changing environments, runtime verification is an important requirement, and research that integrates traditional verification with self-adaptive software is in high demand. ObjectiveModel checking is an effective static verification method for software, but existing problems at runtime remain unresolved. In this paper, we propose a self-adaptive software framework that applies model checking to software to enable verification at runtime. MethodThe proposed framework consists of two parts: the design of self-adaptive software using a finite state machine and the adaptation of the software during runtime. For the first part, we propose two finite state machines for self-adaptive software called the self-adaptive finite state machine (SA-FSM) and abstracted finite state machine (A-FSM). For the runtime verification part, a self-adaptation process based on a MAPE (monitoring, analyzing, planning, and executing) loop is implemented. ResultsWe performed an empirical evaluation with several model-checking tools (i.e., NuSMV and CadenceSMV), and the results show that the proposed method is more efficient at runtime. We also investigated a simple example application in six scenarios related to the IoT environment. We implemented Android and Arduino applications, and the results show the practical usability of the proposed self-adaptive framework at runtime. ConclusionsWe proposed a framework for integrating model checking with a self-adaptive software lifecycle. The results of our experiments showed that the proposed framework can achieve verify self-adaptation software at runtime.

Research of Adaptive Software Design’s Patterns

The discussion is based on the background of adaptive software development needs according to the application requirements of the mobile terminal. The result, through many scholars' research and development about adaptive software, are analyzed and compared with both the advantages and disadvantages of adaptive software. A development trend of adaptive software design patterns is foreseen. A new feasibility design method is proposed, which is based on adaptive software development model of the combination of design patterns.

Comparative study of Agile Business Intelligence and Agile Data Warehouse

In a rapidly changing business oriented economy, Business Intelligence solutions have to become more agile. This paper attempts to compare and contrast between Agile BI and Agile DW based on different analytical Agile driven technologies. Agile software development is a set of principles and practices that was influenced by practitioners of Extreme Programming, SCRUM, DSDM, Adaptive Software Development and others. It was driven out of the need for an alternative to documentation driven, heavyweight software development processes. Agile development processes can take a lot of pain out of building data warehouses and enable project teams to deliver functionality, and business value, on a rolling basis. Rapidly gaining in popularity, the Agile approach to data warehousing solves many of the thorny problems typically associated with data warehouse development most notably high costs, low user adoption, ever-changing business requirements and the inability to rapidly adapt as business conditions change. The Agile approach can be used to develop any analytical database, the two mechanisms that uses agile approach are Data Warehouse and Business Intelligence. Also, this paper briefly looks at technologies that can be used for enabling an agile BI solution.

System components of a general theory of software engineering

The contribution of this paper to a general theory of software engineering is twofold: it presents the model system concept, and it integrates the software engineering design process into a decision making theory and a value-based decision-under-risk process. The model system concept is defined as a collection of interconnected and consistent components that work together for defining, developing, and delivering a software system. This model system concept is used to represent the multiple facets of a software engineering project such as stakeholders and models related to domain/environment, success, decision, product, process, and property. The model system concept is derived from software development practices in the industry and academia.The theoretical decision framework acts as a central governance component for a given software engineering project. Applying this decision framework allows for effectively managing risks and uncertainties related to success in the project building stage. Especially, this puts the design process in an economic perspective, where concepts such as value-of-waiting, value-of-information and possible outcomes can be coped with explicitly. In practice, the decision framework allows for the optimal control of modern adaptive software development. In particular, one can use dynamic programming to find the optimal sequence of decisions to be made considering a defined time horizon. In this way we can relate our contribution to a theory of software engineering to the well-studied areas of automatic control, optimization, decision theory and Bayesian analysis.Computational case studies exemplify the conceptual innovations proposed in this paper.

Adopting an Agile Approach for the Development of Mobile Applications

With the increasing popularity and demand for mobile applications, there has been a significant increase in the number of mobile application development projects. Highly volatile requirements of mobile applications require adaptive software development methods. The Agile approach is seen as a natural fit for mobile application and there is a need to explore various Agile methodologies for the development of mobile applications. This paper evaluates how adopting various Agile approaches improves the development of mobile applications and if they can be used in order to provide more tailor-made process improvements within an organization. A survey related to mobile application development process improvement was developed. The use of various Agile approaches for success in mobile application development were evaluated by determining the significance of the most used Agile engineering paradigms such as XP, Scrum, and Lean. The findings of the study show that these Agile methods have the potential to help deliver enhanced speed and quality for mobile application development.

Hybrid Adaptive Software Development Capability: An Empirical Study

Software intensive organisations require the integration of agility, people, process, product and tool elements for establishing a hybrid adaptive software development capability. This paper presents the results of the empirical study that has been conducted to identify the important underlying characteristics of the hybrid adaptive software development capability elements. Based on this investigation, the most critical and the least critical characteristics of the hybrid adaptive software development capability elements have been identified. The findings of this empirical study have several implications, and can be re- casted into making practical recommendations for establishing a situation-specific hybrid adaptive software development capability.

GRAS: non-programming approach to generate an adaptation strategy in runtime

Increasingly complex and rapidly changing software requirements have advanced the principles of adaptive software development. However, defining every potential problem scenario during the design phase that will require the system to adapt is difficult and time consuming. According to current research, defining new adaptation strategies for problems undefined during the design phase frequently requires engineers to modify the system’s programs, and occasionally to modify programs in the target system. This can include scenarios when the problem is not especially critical to the system. To avoid this situation in the future, we suggest a novel approach that enables Human Actors to create an adaptation strategy through our framework, GRAS (Generator for Runtime Adaptation Strategy). GRAS, which does not require programming, provides an interface and knowledge base enabling Human Actors to participate in the adaptation process and define new strategies. Each problem scenario the system encounters is defined as a Situation to resolve ambiguity, and managed by the applicable Situation Handler, which can be created in runtime with the aid of a Human Actor. With GRAS, a Human Actor with the proper domain knowledge for a system can define additional adaptation strategies, and is not required to be a

Introducing Agility in Cloud Based Software Development through ASD

Cloud based development is a challenging task for several software engineering projects, especially for those which need change along with reusability. The present scenario of cloud computing is allowing new professional models to use agile software development. The expected upcoming trend of computing is assumed to be cloud computing as it ensures a lot of payback like no principal outflow, speed of application deployment, shorter time to market, lower cost of operation, and change at any level, reusability and easier maintenance for the tenants. Until Adaptive Cloud Development Model is considered a fundamental capability, predictable demand cannot be delivered to cloud users. This paper extends the traditional agile process model named Adaptive Software Development (ASD) and integrates interaction with the cloud provider to facilitate acceptance of cloud computing. In this paper, Adaptive Cloud Development Model has been proposed. Using the agile based cloud computing proposed approach, development cost can be minimized and customer satisfaction and reusability can be improved.

Adaptable Processing: Stage Development

The development and evolution of Microsoft Office and Microsoft Windows shells are based in general on the special methodology of software creation and implementation such as macros, subroutine, custom commands, and specialized features. Microsoft Office for Mac has for long been criticized for its lack of support of Unicode and BiDi languages, notably Arabic and Hebrew. This has not changed in the Office 2008 version. Microsoft Office 2010 (also called Office 2010 and Office 14) is the current version of the Microsoft Office productivity suite for Microsoft Windows, and the successor to Microsoft Office 2007. With Office 2010, users are in control, getting things done and producing amazing results however and wherever they work best. Ms Office 2010 is the last version of Microsoft Office with support for Windows XP, Windows Server 2003, Windows Vista, and Windows Server 2008 due to Office 2013 requiring Windows 7, Windows Server 2008 R2, Windows 8, Windows Server 2012, or Windows RT. Adaptive hardware (Ugurdag, 2006) reflects the capability of a system to maintain or improve its performance in the context of internal or external changes. Adaptation at hardware levels increases the system capabilities beyond what is possible with software-only solutions. Algorithms, techniques, and their implementation in hardware are developed over a diverse variety of applications. The methodology of the On-Off-Line adaptable processors (Todoroi & Micusha, 2012) support development of adaptable software and hardware. Automatic creation of the Off-Line adaptable processors are proved. Development of the On-Line and On-Off-Line adaptable processors based on Off-Line processing creation method is proposed (Todoroi, Micusa, & Todoroi, 2009; Todoroi, 2008a, 2008b).

A Survey of the Use of Agile Methodologies in Different Indian Small and Medium Scale Enterprises (SMEs)

Prior to the use of Agile Methodologies in software industry, the software projects were chaotic and unpredictable. As a result the processes which are best suited for well-defined problem domains cannot manage such software projects. It had been seen that with highly detailed user interface designs, specifications and plans, the software developed turned out different from its original intent because customer requirements change frequently. The crux of Agile Methodologies is that the changes in the requirement can be managed software even during the development cycle of the software development. A survey of 18 SMEs catering software market has been carried out for finding software development scenarios. Eight Agile Methodologies had been studied and surveyed which I found effective in current scenario of software development. These are Extreme Programming, Scrum, Crystal Methodologies, Rational Unified Process, Adaptive Software Development, Feature Driven Development, Dynamic Systems Development Method and Lean Development. And it has been discovered that majority of SMEs follow Scrum for their software development .And other SMEs are also developing their software projects with the help of Scrum variants like scrum and waterfall model as they are using Scrum in requirement gathering, management level processes, and development using waterfall model. This paper summarizes the trends followed for software development in SMEs and it has been shown graphically also.

Laboratory Driven, Lean-to-Adaptive Prototyping in Parallel for Web Software Project Identification and Application Development in Health Science Research

Clinical research laboratories, bioinformatics core facilities, and health science organizations often rely on heavy planning based software development models to propose, build, and distribute software as a consumable product. Projects in non-agile software life cycles tend to have rigid “plan-design-build” milestones, increasing the amount of time needed for software development completion. Though the classic software development approach is needed for large-scale and organizational projects, clinical research laboratories can expedite software development while maintaining quality by using lean prototyping as a condition of project advancement to a committed adaptive software development cycle. Software projects benefit from an agile methodology due to the active and changing requirements often guided by experimental data driven models. We describe a lean to adaptive method used in parallel with laboratory bench work to develop quality software quickly that meets the requirements of a fast-paced research environment and reducing time to production, providing immediate value to the end user, and limiting unnecessary development practices in favor of results.