A modeling approach for the development of process driven web applications

Complex web applications have been developed rapidly as to support complex process and transactional workflows involved in the web domain. Although there are numerous modeling concepts exist in web applications nowadays, new issues raises in modeling approach such as user interactions, interrelated process flow, navigational issues and graphical user interface concerns. In this paper, we present and discuss user interaction diagram, Unified Modeling Language (UML) notation and object-oriented approach for necessity in complex web applications. A proposed model called UEWDM (UML-Extensions Web Design Model) emphasize on the user interaction issues as well as the interrelated process, navigation and graphical user interface. The uniqueness of UEWDM is in the design pattern modeling approaches. At the end of the paper, future works of the design model will be explained and briefly summarized

Comparative analysis of interaction flow modeling language tools

Modeling approaches based on standards are of paramount importance in the field of front-end design for web and mobile applications. Problems are often encountered during the selection of tools for designing applications for developers and researchers, particularly applications that are related to time and cost in the market and academia. The Interaction Flow Modeling Language (IFML) is a recently standardized modeling language designed for managing the content expression, user interaction and behavior control of front-end applications. IFML brings several benefits to the development process of web and mobile front-end applications. Thus, several tools have been developed for the exploitation of technical artifacts offered by current specifications. In this study, we discuss the tools proposed for modeling IFML to provide a comparative analysis while considering various criteria. The result can be used as a basis of tool selection for specific aspects

Predictive User Modeling with Actionable Attributes

Different machine learning techniques have been proposed and used for modeling individual and group user needs, interests and preferences. In the traditional predictive modeling instances are described by observable variables, called attributes. The goal is to learn a model for predicting the target variable for unseen instances. For example, for marketing purposes a company consider profiling a new user based on her observed web browsing behavior, referral keywords or other relevant information. In many real world applications the values of some attributes are not only observable, but can be actively decided by a decision maker. Furthermore, in some of such applications the decision maker is interested not only to generate accurate predictions, but to maximize the probability of the desired outcome. For example, a direct marketing manager can choose which type of a special offer to send to a client (actionable attribute), hoping that the right choice will result in a positive response with a higher probability. We study how to learn to choose the value of an actionable attribute in order to maximize the probability of a desired outcome in predictive modeling. We emphasize that not all instances are equally sensitive to changes in actions. Accurate choice of an action is critical for those instances, which are on the borderline (e.g. users who do not have a strong opinion one way or the other). We formulate three supervised learning approaches for learning to select the value of an actionable attribute at an instance level. We also introduce a focused training procedure which puts more emphasis on the situations where varying the action is the most likely to take the effect. The proof of concept experimental validation on two real-world case studies in web analytics and e-learning domains highlights the potential of the proposed approaches

Using thematic ontologies for user- and group- based adaptive personalization in web searching

This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-ordering of search results. Prospector combines elements from two approaches to adaptive search support: (a) collaborative web searching; and, (b) personalized searching using semantic metadata. The paper focuses on the way semantic metadata and the users’ search behavior are utilized for user- and group- modeling, as well as on how these models are used to re-rank results returned for individual queries. The paper also outlines past evaluation activities related to Prospector, and discusses potential applications of the approach for the adaptive retrieval of multimedia documents

Perancangan User Interface Aplikasi Pemodelan Perangkat Lunak Menggunakan Metode User Centered Design

Software development comprises stages that are interrelated with one another. The analysis and design stages are the initial stages in software development. For novice software developers, diagram making as software modeling is something that can be done as an alternative in developing computer applications or systems. In this study, we carried the interface design for software modeling applications out. The application developed later is a web-based application as a solution to licensing problems and expensive software modeling tools. This study only focuses on application design, does not contain implementation and application testing. The method used in this research is a user-centered design method. This method was chosen because it uses the user as the center of the design. So we expect it that the design can adjust to the wants, needs, and needs of relevant users. After we have completed the design as a mockup, the next research is to implement and implement the applications that have been designed in this study based on the results of user feedbac

Developing BP-driven web application through the use of MDE techniques

Model driven engineering (MDE) is a suitable approach for performing the construction of software systems (in particular in the Web application domain). There are different types of Web applications depending on their purpose (i.e., document-centric, interactive, transactional, workflow/business process-based, collaborative, etc). This work focusses on business process-based Web applications in order to be able to understand business processes in a broad sense, from the lightweight business processes already addressed by existing proposals to long-running asynchronous processes. This work presents a MDE method for the construction of systems of this type. The method has been designed in two steps following the MDE principles. In the first step, the system is represented by means of models in a technology-independent manner. These models capture the different aspects of Web-based systems (these aspects refer to behaviour, structure, navigation, and presentation issues). In the second step, the model transformations (both model-to- model and model-to-text) are applied in order to obtain the final system in terms of a specific technology. In addition, a set ofEclipse-based tools has been developed to provide automation in the application of the proposed method in order to validate the proposal.Torres Bosch, MV.; Giner Blasco, P.; Pelechano Ferragud, V. (2012). Developing BP-driven web application through the use of MDE techniques. Software and Systems Modeling. 11(4):609-631. doi:10.1007/s10270-010-0177-5S609631114Andrews, T., Curbera, F., Dholakia, H., Goland, Y., Klein, J., Leymann, F., Liu, K., Roller, D., Smith, D., Thatte, S., Trickovic, I., Weerawarana, S.: Business process execution language for Web services version 1.1 (May 2003)Barna, P., Frasincar, F., Houben, G.J.: A workow-driven design of Web information systems. In: Wolber, D., Calder, N., Brooks, C., Ginige, A. (eds.) 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