Research Output
Refactoring data transforms in MaTSE for flexibility.
  In early prototypes of the Microarray Time-series Explorer
(MaTSE) data transforms were tightly coupled with visualisation components. While this allowed us to achieve our initial objective of developing the application to the level where we were able to demonstrate the basic visualisation technique with a specific dataset, refactoring to a more flexible code structure was required in order to apply a larger number of transforms and accommodate a wider variety of data-sets. This paper reports on our planning and
execution of this refactoring exercise.

  • Type:

    Conference Paper (unpublished)

  • Date:

    13 October 2009

  • Publication Status:

    Unpublished

  • Library of Congress:

    QA76 Computer software

  • Dewey Decimal Classification:

    005 Computer programming, programs & data

Citation

Craig, P., & Kennedy, J. (2009, October). Refactoring data transforms in MaTSE for flexibility

Authors

Keywords

Visualisation; Micro-array Time Series Explorer; MaTSE; Refactoring; Methodology; Objective; Flexible code structure; Wider applicability; Easier data-transforms;

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