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Related Concept Videos

Multiple Comparison Tests01:13

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Model-based test case prioritization using selective and even-spread count-based methods with scrutinized ordering

Muhammad Luqman Mohd-Shafie1, Wan Mohd Nasir Wan-Kadir1, Muhammad Khatibsyarbini1

  • 1Department of Software Engineering, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia.

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Summary

This study introduces an improved model-based test case prioritization (MB-TCP) approach to enhance regression testing efficiency. The new method significantly boosts fault detection rates, making software testing more effective.

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Area of Science:

  • Software Engineering
  • Software Testing
  • Quality Assurance

Background:

  • Regression testing is vital for software modifications but faces challenges with cost and time.
  • Test case prioritization (TCP) addresses these issues by reordering tests.
  • Existing model-based TCP (MB-TCP) approaches often lack sufficient fault detection and precise test selection criteria.

Purpose of the Study:

  • To propose a novel MB-TCP approach that enhances fault detection performance in regression testing.
  • To improve the effectiveness of test selection criteria in MB-TCP.

Main Methods:

  • The proposed approach combines two existing literature methods and adds a new ordering criterion.
  • An empirical study was conducted using three web applications.
  • Performance was evaluated using the average percentage of faults detected (APFD) metric.

Main Results:

  • The proposed MB-TCP approach achieved higher APFD values (91%, 86%, 91%) compared to existing methods across three web applications.
  • These results indicate superior early fault detection capabilities.

Conclusions:

  • The proposed MB-TCP approach significantly improves fault detection performance in regression testing.
  • The enhanced prioritization strategy leads to more effective and efficient software quality assurance.