Journal of Research and Practice in Information Technology Impact Factor & Information

Publisher: Australian Computer Society, Australian Computer Society Inc

Journal description

The Journal of Research and Practice in Information Technology is an international quality, peer reviewed journal covering innovative research and practice in Information Technology. Until 2000 it was titled the Australian Computer Journal, and has been published by the Australian Computer Society continuously since November 1967. The Journal has a dual emphasis and contains articles that are of interest both to practicing information technology professionals and to university and industry researchers. In particular, it encourages papers that report on activities that have successfully connected fundamental and applied research with practical application. The journal thus publishes papers relating to both emerging research and to professional practice. The Journal of Research and Practice in Information Technology (the JRPIT) encourages submission of innovative and original articles in all areas of Information Technology including Computer Science, Software Engineering, Information Systems, Computer Systems and Information Engineering and Telecommunications.

Current impact factor: 0.22

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2012 Impact Factor 0.222
2011 Impact Factor 0.105
2010 Impact Factor 0.205
2009 Impact Factor 0.5
2008 Impact Factor 0.429
2007 Impact Factor 0.348
2006 Impact Factor 0.465
2005 Impact Factor 0.205
2004 Impact Factor 0.036
2003 Impact Factor 0.158
2002 Impact Factor 0.125
2001 Impact Factor 0.1

Impact factor over time

Impact factor

Additional details

5-year impact 0.36
Cited half-life -
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.12
Website Journal of Research and Practice in Information Technology website
Other titles Research and practice in information technology
ISSN 1443-458X
OCLC 43886204
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Australian Computer Society Inc

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Creative Commons Attribution Non-Commercial No Derivatives License 2.5
    • Publisher copyright and source must be acknowledged
  • Classification

Publications in this journal

  • Khan · M. A · Islam · M. Z · M. Hafeez ·
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    ABSTRACT: Large amount of water in irrigated agriculture is wasted due to poor water management practices. To improve water management in irrigated areas, models for estimation of future water requirements are needed. In this study, we prepare a data set containing information on suitable attributes. The data are obtained from three different sources namely water delivery statements, meteorological data, and remote sensing images. In order to make the prepared data set useful for demand forecasting and pattern extraction we pre-process the dataset using a novel approach based on a combination of irrigation and data mining knowledge. We then evaluate the effectiveness of five different data mining methods and a traditional method based on Evapotranspiration (ETc), in water requirement prediction. Our experimental results indicate the usefulness of the proposed data pre-processing technique and the effectiveness of data mining methods (such as SysFor). Among the six methods we used, SysFor produces the best prediction with 97.5% accuracy. Keywords: Irrigation water demand forecasting, Data mining, Decision tree, ANN, Decision Forest and Water management.
    Journal of Research and Practice in Information Technology 01/2013;

  • Journal of Research and Practice in Information Technology 01/2013;
  • [Show abstract] [Hide abstract]
    ABSTRACT: CAPTCHA stands for "Completely Automated Public Turing test to tell Computers and Humans Apart" and has received much attention since it first began appearing on websites. It requires the deciphering of distorted texts, mostly in English which is something that computers still cannot do well. It is also helpful in preventing the abuse of online services. The current text-based CAPTCHA requires users to be able to read English characters. For Thai Internet users who might not be very familiar with English, a Thai language based CAPTCHA may be a more appropriate option. To date, no published work has examined the extent to which Thai Internet users are familiar with CAPTCHA; therefore, this study attempts to survey their awareness of, and attitudes towards, the online test. Based on 340 usable online questionnaire submissions, it was found that Thai Internet users are generally aware of CAPTCHA, but their understanding of it does not go very deep. Using exploratory factor analysis, their attitudes towards CAPTCHA can be classified in two dimensions: (1) the perceived drawbacks of the CAPTCHA test and (2) the feasibility of Thai language CAPTCHA. In addition to providing our insights into the application of CAPTCHA in the Thai Internet user context, online service providers could take certain measures to improve users' attitudes and understanding regarding CATPCHA.
    Journal of Research and Practice in Information Technology 11/2012; 44(4):441-458.
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    ABSTRACT: The software development approach called Model-Driven Engineering continues to evolve at a rapid pace. A key aspect is the automatic generation of artifacts at lower levels of abstraction. However, this process typically does not take into account the evolution of systems throughout their life cycle; moreover, it is done in an unwieldy and repetitive manner. There are some works that address the problem of incremental generation of artifacts, but unfortunately that research tends to be focused on generating artifacts in the form of a model, instead of generating source code of an application that may already be deployed and running. Other studies address the issue in a limited way. In this paper, we present a proposal, a prototype, and a case study for incrementally generating source code artifacts from models. This work aims to minimize the impact of changes on applications that may already be deployed.
    Journal of Research and Practice in Information Technology 11/2012; 44(4):365-385.
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    ABSTRACT: As the Web is increasingly used not only to find answers to specific information needs but also to carry out various tasks by the means of Web services, enhancing the capabilities of current Web search engines with effective and efficient techniques for Web service discovery becomes an important issue. In this paper, we propose a semantic and QoS-aware broker, namely SemQoS, that enables users to discover Web services based on both functional and non-functional criteria. The SemQoS broker relies on a semantic canonical description meta-model that allows describing services in terms of functional and non-functional properties. First, SemQoS discovery approach selects a set of services matching a discovery query with different degrees of approximate matching. The approach relies on deductive reasoning to relax the discovery query's constraints based on semantic service descriptions and domain knowledge. As a second step, the SemQoS broker refines the set of selected services to generate a set of service clusters based on their QoS attributes values. This step allows to prune the search space of a discovery query and determine the best sub-set (cluster) of Web services satisfying user's constraints. We evaluate our approach experimentally using a real Web services dataset.
    Journal of Research and Practice in Information Technology 11/2012; 44(4):387-398.
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    ABSTRACT: Systems that facilitate automation in the evaluation of learning tasks are usually domain dependent. Furthermore, they usually do not allow users to specify new tasks which are described by the users themselves. Therefore, the development of activities in which work is done in the higher levels of Bloom’s Taxonomy is limited. In this article, we introduce a proposal made up by a series of guidelines to develop educational software that allow users to specify their own learning activities, to add alternative solutions and to receive an evaluation from the system so that they are guided in their learning process. This proposal is based on the use of formal languages to specify activities and their solutions, and also on the use of language processors for such languages, so that it is possible to build a computable model that solves the activities and analyzes the solutions. The proposal results from the lessons learned from real experience with the Proletool application, a tool designed for teaching syntax analysis techniques in the subject Language Processors.
    Journal of Research and Practice in Information Technology 08/2012;
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    ABSTRACT: Educational software should be designed by development teams with actual teachers. Thus, implementations of this type of software would be able to cover most teaching requirements and to adjust to different teaching principles. Moreover, some more work should be done to abstract common patterns in educational software so that software engineering methods can be adapted to suit educational needs. We propose an abstraction of system users by defining a role hierarchy which fits web-based collaborative educational systems. This proposal, which can significantly improve software adaptability and usability, has been used to develop Tutor, a web-based educational software system to promote a blended learning environment in Higher Education.
    Journal of Research and Practice in Information Technology 05/2012; 44(2):223-242.
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    ABSTRACT: In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders.
    Journal of Research and Practice in Information Technology 05/2012; 44(2):167-181.
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    ABSTRACT: The IMS consortium is one of the most active stakeholders in the Learning Technology standard ization field. Among its latest outcomes, the proposals to communicate heterogeneous systems and integrate external tools into existing LMSs stand out. This paper describes the adoption of these recent IMS specifications to integrate external tools and applications into the Game·Tel learning platform. Although Game·Tel was originally designed to support game-based learning in a multi-device environment, this paper will demonstrate how the IMS specifications have allowed us to easily integrate a wide range of existing applications with a clear potential for education and training.
    Journal of Research and Practice in Information Technology 05/2012; 44(2-2):151.