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Information System Analysis And Design For Mobile-Based Homain Applications
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Context: The Unified Modeling Language (UML) has become the de facto standard for software modeling. UML models are often used to visualize, understand, and communicate the structure and behavior of a system. UML activity diagrams (ADs) are often used to elaborate and visualize individual use cases. Due to their higher level of abstraction and process-oriented perspective, UML ADs are also highly suitable for model-based test generation. In the last two decades, different researchers have used UML ADs for test generation. Despite the growing use of UML ADs for model-based testing, there are currently no comprehensive and unbiased studies on the topic.
Objective: To present a comprehensive and unbiased overview of the state-of-the-art on model-based testing using UML ADs.
Method: We review and structure the current body of knowledge on model-based testing using UML ADs by performing a systematic mapping study using well-known guidelines. We pose nine research questions, outline our selection criteria, and develop a classification scheme.
Results: The results comprise 41 primary studies analyzed against nine research questions. We also highlight the current trends and research gaps in model-based testing using UML ADs and discuss some shortcomings for researchers and practitioners working in this area. The results show that the existing approaches on model-based testing using UML ADs tend to rely on intermediate formats and formalisms for model verification and test generation, employ a multitude of graph-based coverage criteria, and use graph search algorithms.
Conclusion: We present a comprehensive overview of the existing approaches on model-based testing using UML ADs. We conclude that (1) UML ADs are not being used for non-functional testing, (2) only a few approaches have been validated against realistic, industrial case studies, (3) most approaches target very restricted application domains, and (4) there is currently a clear lack of holistic approaches for model-based testing using UML ADs.
Knowledge about current user preferences and needs regarding electric vehicles is key for developing convenient solutions in the field of e-mobility. They are decisive for a successful market uptake of electric vehicles. In this article, we analyze German Twitter data as fast and unbiased feedback from customers on current products. We demonstrate how this new data source can be applied in the field of e-mobility. We compare our analysis to the traditional approach of a literature survey. Results show that for the German-speaking region the frequency distribution of needs derived from the literature survey differs significantly from the frequency distribution derived from the sample of tweets. Price-related needs and needs concerning Car characteristics are comparably overrepresented in the literature survey. On the other hand, Charging-related needs in particular as well as needs classified in the society cluster are overrepresented in the Twitter data set. We derive interpretations from these insights and illustrate possibilities for stakeholders and policymakers to increase acceptance.
Purpose
Currently, ubiquitous smartphones embedded with various sensors provide a convenient way to collect raw sequence data. These data bridges the gap between human activity and multiple sensors. Human activity recognition has been widely used in quite a lot of aspects in our daily life, such as medical security, personal safety, living assistance and so on.
Design/methodology/approach
To provide an overview, the authors survey and summarize some important technologies and involved key issues of human activity recognition, including activity categorization, feature engineering as well as typical algorithms presented in recent years. In this paper, the authors first introduce the character of embedded sensors and dsiscuss their features, as well as survey some data labeling strategies to get ground truth label. Then, following the process of human activity recognition, the authors discuss the methods and techniques of raw data preprocessing and feature extraction, and summarize some popular algorithms used in model training and activity recognizing. Third, they introduce some interesting application scenarios of human activity recognition and provide some available data sets as ground truth data to validate proposed algorithms.
Findings
The authors summarize their viewpoints on human activity recognition, discuss the main challenges and point out some potential research directions.
Originality/value
It is hoped that this work will serve as the steppingstone for those interested in advancing human activity recognition.
Automation of any business process primarily requires the identification of clear and precise requirements. However, the initially collected business requirements are usually expressed in natural language that create ambiguities among different stakeholders. To overcome this problem, various BPML’s (Business Process Modeling Language) have been introduced to represent the business requirements graphically. In this context, Event-driven Process Chain (EPC) is a well-known BPML that supports the modeling and verification of business requirements in early automation phases. Although EPC is frequently researched to improve its modeling and verification capabilities, there is no study available yet to the best of our knowledge that examines and summaries the latest EPC developments. Therefore, in this article, we comprehensively investigate the latest EPC approaches, trends and tools for modeling and verification of business requirements. Particularly, a Systematic Literature Review (SLR) is carried out to select and analyze 73 research studies published during 1998-2017. Consequently, the selected studies are classified into six categories i.e. Modeling (14), Transformation (13), Verification (17), General (20), Semantics (5) and Requirement (4). Moreover, latest EPC modeling approaches are identified and analyzed i.e. UML (2), Meta-model (3), Integration (5) and EPC notations (4). Furthermore, EPC verification methods are also investigated i.e. EPC (6), Petri-nets (8) and other languages (3). Finally, 25 leading EPC tools have been presented i.e. existing tools (14), proposed / developed tools (5) and additional tools (6). It has been concluded that EPC provides adequate approaches and tool support for modeling and verification of simple business requirements through atomic events. However, the complex business requirements cannot be modeled and verified through EPC due to the lack of complex event processing. Consequently, there is a strong need to include the support for modeling and verification of complex events in EPC to manage multifaceted business requirements.
The aim of this paper to outline the E-voting system readiness and design in Jordan, the researcher's illustrate the guideline for developing and designing E-voting system in Jordan election. Moreover the paper used TAM model to test the Acceptance of the proposed system from voter's perspective and the readiness of the system to be used.
Although synthesis was considered an important and challenging approach to construction of a program or a program model in software development, most of research on synthesis has been devoted to the construction of state machine models or variations of them. Recently, as process modeling through languages like UML Activity Diagram and BPMN appears as a new paradigm of software development, the ability to synthesize models in such languages from requirements would tremendously increase the scope of automatic software development. This paper presents transformation rules for synthesis of UML Activity Diagrams from scenario-based specifications modeled as UML Sequence Diagrams. To that end, we first identify various control flow patterns of Sequence Diagrams and define rules for mapping them to corresponding parts of Activity Diagram. In order to make precise such mapping labeling rules are introduced for the patterns. Also we provide a synthesis algorithm for construction of a UML Activity Diagram from scenarios.
Skripsi ini berisi tentang Aplikasi Pencarian Rumah Sakit, Puskesmas dan Dokter Praktek terdekat di wilayah Manado Berbasis Android, dengan menggunakan aplikasi Android Studio yaitu aplikasi untuk pembuatan aplikasi android. Aplikasi ini bertujuan untuk mempermudah masyarakat dalam mencari Rumah Sakit, Puskesmas dan dokter praktek terdekat saat dalam keadaan panik dan membutuhkan pertolongan pertama terutam bagi masyarakat dari luar Manado yang datang berkunjung di Kota Manado atau yang datang berlibur di kota Manado. Metode yang digunakan dalam aplikasi android ini adalah metode prototype yang merupakan sebuah javascript framework yang di buat untuk lebih memudahkan proses dalam membangun aplikasi. Metode Prototype merupakan metode pengembangan system dimana hasil analisa bisa langsung di terapkan kedalam sebuah model tanpa harus menunggu sebuah hasil analisa selesai.
The paper discusses the location-based mobile application (LBMA) technology development. Different approaches to achieve an improvement in LBMA have led to provision of popular and widely accepted applications. We review software engineering development for mobile application to produce best-quality product with predictability and continuous improvement in place. A case study of Waze, one the largest traffic and navigation application, is presented to show how LBMA software has been developed. We discuss some open research areas in mobile application development, as well as the technology, trends, and state of the art applications of LBMA. Map information is needed for selecting effective and efficient choice of transportation mode and routing effective routing and effective routing for the trip to get to the destination. There exist Comany maps based software currently being used worldwide such as Waze, CoPilot, Google Maps, Komoot. Testing and comparison of the freely available LBMA software have been conducted. User evaluation result shows that Waze gets the highest average maximum score of 5 (five) from scale 1–5, at the points of easy use of menu, navigation, fastest user position’s update.
Optimal productivity is the highest sustainable productivity level achievable under good management and typical working conditions. Accordingly, optimal productivity provides the foundation for determining the absolute efficiency of construction operations because an accurate estimate of optimal productivity enables the comparison between actual versus optimal rather than actual versus historical productivity. This research contributes to the current body of knowledge by introducing a two-prong strategy for estimating optimal productivity in labor-intensive construction operations and by applying this strategy to a pilot study on the replacement of electrical lighting fixtures. The first prong, or top-down approach, estimates the upper limit of optimal productivity by introducing system inefficiencies into the productivity frontier - the productivity achieved under perfect conditions. This study uses a qualitative factor model to identify this upper limit. The second prong, or bottom-up approach, estimates the lower limit of optimal productivity by taking away operational inefficiencies from actual productivity - productivity recorded in the field. A discrete-event simulation model provides this lower-limit value. An average of the upper and lower limits yields the best estimate of optimal productivity. This paper reviews relevant literature, presents the details of both the top-down and bottom-up approaches, analyzes the data from a pilot project, evaluates the feasibility of this two-prong strategy, and finally provides a novel framework for project managers who want to accurately estimate the optimal productivity of their labor-intensive construction operations.
The aim of this paper to outline the E-voting system readiness and design in Jordan, the researcher’s illustrate the guideline for developing and designing E-voting system in Jordan election. Moreover the paper used TAM model to test the Acceptance of the proposed system from voter’s perspective and the readiness of the system to be used.
This article reviews progress in the development of standards and guidelines for human–computer interaction, including those
developed within international and US standards bodies. Guidance for incorporating software ergonomics standards and guidelines
into software design and development processes is discussed. Several different techniques that have been defined for assessing
the conformance of a product to guidelines are reviewed. In addition, the strategies employed by formally approved standards
developed in ISO and ANSI for determining conformance are discussed. Finally, we discuss the prospects and challenges for
software ergonomics standards and guidelines that must be addressed as the pace of technological change continues to accelerate.
The aims of this paper were (1) to raise awareness of the issues in questionnaire development and subsequent psychometric evaluation, and (2) to provide strategies to enable nurse researchers to design and develop their own measure and evaluate the quality of existing nursing measures.
The number of questionnaires developed by nurses has increased in recent years. While the rigour applied to the questionnaire development process may be improving, we know that nurses are still not generally adept at the psychometric evaluation of new measures. This paper explores the process by which a reliable and valid questionnaire can be developed.
We critically evaluate the theoretical and methodological issues associated with questionnaire design and development and present a series of heuristic decision-making strategies at each stage of such development. The range of available scales is presented and we discuss strategies to enable item generation and development. The importance of stating a priori the number of factors expected in a prototypic measure is emphasized. Issues of reliability and validity are explored using item analysis and exploratory factor analysis and illustrated using examples from recent nursing research literature.
Questionnaire design and development must be supported by a logical, systematic and structured approach. To aid this process we present a framework that supports this and suggest strategies to demonstrate the reliability and validity of the new and developing measure.
In developing the evidence base of nursing practice using this method of data collection, it is vital that questionnaire design incorporates preplanned methods to establish reliability and validity. Failure to develop a questionnaire sufficiently may lead to difficulty interpreting results, and this may impact upon clinical or educational practice. This paper presents a critical evaluation of the questionnaire design and development process and demonstrates good practice at each stage of this process.
Educations and skill mismatch, World bank Office Jakarta
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Analysis of Mobile Based Software Development Model: Systematic Review
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- F A Sbk
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Navigation Of Health Services Location On The Android-Based Using Location-Based Services
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The cost of COVID-19 on the Indonesian economy: A Social Accounting Matrix (SAM) multiplier approach
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Navigation Of Health Services Location On The Android-Based Using Location-Based Services
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Analysis of Mobile Based Software Development Model: Systematic Review
- widianto