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Use Case: Optimization of Regression Tests—Reduction of the Test Portfolio Through Representative Identification

In: The Digital Journey of Banking and Insurance, Volume II

Author

Listed:
  • Volker Liermann

    (ifb SE)

  • Sangmeng Li

    (ifb SE)

  • Christoph Wünnemann

    (ifb SE)

Abstract

Regression tests are widely used after release updates to ensure the software and implementation stability. The brute force approach is to recalculate the whole portfolio during this regression test with an enormous burden on disk space, computational power, and workforce for the error tracking. The authors provide specialized cluster algorithms to significantly reduce the number of tested transactions to a few representative transactions, by maintaining the overall software and implementation stability on the same level.

Suggested Citation

  • Volker Liermann & Sangmeng Li & Christoph Wünnemann, 2021. "Use Case: Optimization of Regression Tests—Reduction of the Test Portfolio Through Representative Identification," Springer Books, in: Volker Liermann & Claus Stegmann (ed.), The Digital Journey of Banking and Insurance, Volume II, edition 1, pages 5-19, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-78829-2_1
    DOI: 10.1007/978-3-030-78829-2_1
    as

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