The Experts below are selected from a list of 34254 Experts worldwide ranked by ideXlab platform

Katsuro Inoue - One of the best experts on this subject based on the ideXlab platform.

  • VerXCombo: An Interactive Data Visualization of Popular Library Version Combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

  • ICPC - VerXCombo: an Interactive Data Visualization of popular library version combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

Yuki Yano - One of the best experts on this subject based on the ideXlab platform.

  • VerXCombo: An Interactive Data Visualization of Popular Library Version Combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

  • ICPC - VerXCombo: an Interactive Data Visualization of popular library version combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

Raula Gaikovina Kula - One of the best experts on this subject based on the ideXlab platform.

  • VerXCombo: An Interactive Data Visualization of Popular Library Version Combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

  • ICPC - VerXCombo: an Interactive Data Visualization of popular library version combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

Takashi Ishio - One of the best experts on this subject based on the ideXlab platform.

  • VerXCombo: An Interactive Data Visualization of Popular Library Version Combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

  • ICPC - VerXCombo: an Interactive Data Visualization of popular library version combinations
    2015 IEEE 23rd International Conference on Program Comprehension, 2015
    Co-Authors: Yuki Yano, Raula Gaikovina Kula, Takashi Ishio, Katsuro Inoue
    Abstract:

    In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using the 'wisdom of the crowd', VerXCombo aims to assist system maintainers by mining popular library dependency patterns of similar systems. Through Data interactions, VerXCombo leverages parallel sets to break-down large and complex Dataset into distinguishable patterns of 1.) popular and 2.) latest library dependency release combinations. Populating our tool with a maven library dependency Dataset from over 4,000 Java Open Source projects, we demonstrate through a case scenario navigation and best fit combinations of the VerXCombo tool. A video highlighting the main features of the tool can be found at: http://goo.gl/wWPylL.

William N. Dilla - One of the best experts on this subject based on the ideXlab platform.

  • Data Visualization for fraud detection: Practice implications and a call for future research
    International Journal of Accounting Information Systems, 2015
    Co-Authors: William N. Dilla, Robyn L. Raschke
    Abstract:

    Analysis of Data to detect transaction anomalies is an important fraud detection procedure. Interactive Data Visualization tools that allow the investigator to change the representation of Data from text to graphics and filter out subsets of transactions for further investigation have substantial potential for making the detection of fraudulent transactions more efficient and effective. However, little research to date has directly examined the efficacy of Data Visualization techniques for fraud detection. In this paper, we develop a theoretical framework to predict when and how investigators might use Data Visualization techniques to detect fraudulent transactions. We use this framework to develop testable propositions and research questions related to this topic. The paper concludes by discussing how academic research might proceed in investigating the efficacy of Interactive Data Visualization tools for fraud detection.

  • Making sense of complex Data using Interactive Data Visualization
    Journal of Accounting Education, 2014
    Co-Authors: Diane J Janvrin, Robyn L. Raschke, William N. Dilla
    Abstract:

    An important role for accountants today is to provide decision support to senior management by assisting them in the analysis of large, complex Data sets. Interactive Data Visualization (IDV) facilitates this process by allowing users to navigate, select, and display Data via an easy-to-use interface often used as a component of Data analytics. Given the increasing popularity of IDV as a tool for making sense of complex Data, it is important that accountants become familiar with and learn how to use this technology. This case provides a hands-on opportunity to organize complex accounting Data to create IDVs for decision makers to use. Further, the case enables students to understand the potential impact of IDVs on preparers and users of accounting information. Students will assume the role of a division controller in a hypothetical company and create an IDV to assist the chief executive officer (CEO) in decision making.

  • Interactive Data Visualization new directions for accounting information systems research
    Journal of Information Systems, 2010
    Co-Authors: William N. Dilla, Diane J Janvrin, Robyn L. Raschke
    Abstract:

    ABSTRACT: Many companies today utilize Interactive Data Visualization to present accounting information to external users on their investor relations websites and to internal users in applications such as enterprise resource planning, Balanced Scorecard, network security, and fraud detection systems. We develop a taxonomy for examining the current state of Interactive Data Visualization research related to accounting decision making. We organize our review around three themes: the relationship between task characteristics and Interactive Data Visualization techniques, the relationship between decision maker characteristics and Interactive Data Visualization techniques, and the impact of Interactive Data Visualization techniques on decision processes and outcomes. The review categorizes relevant research, describes the research questions addressed, and suggests avenues for further research.

  • Interactive DataVisualization: New Directions forAccounting Information Systems Research
    2010
    Co-Authors: William N. Dilla, Diane J Janvrin, Robyn L. Raschke
    Abstract:

    Many companies today utilize Interactive Data Visualization to present accounting information to external users on their investor relations websites and to internal users in applications such as enterprise resource planning, Balanced Score- card, network security, and fraud detection systems. We develop a taxonomy for exam- ining the current state of Interactive Data Visualization research related to accounting decision making. We organize our review around three themes: the relationship be- tween task characteristics and Interactive Data Visualization techniques, the relationship between decision maker characteristics and Interactive Data Visualization techniques, and the impact of Interactive Data Visualization techniques on decision processes and outcomes. The review categorizes relevant research, describes the research questions addressed, and suggests avenues for further research.