Employing rule mining and multi-objective search for dynamic test case prioritization-Reference-Cited by-同舟云学术

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Employing rule mining and multi-objective search for dynamic test case prioritization

Published:2019-07 Issue: Volume:153 Page:86-104
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Pradhan Dipesh^ORCID,Wang Shuai^ORCID,Ali Shaukat^ORCID,Yue Tao^ORCID,Liaaen Marius

Funder

Research Council of Norway

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference93 articles.

1. Model based test case prioritization using association rule mining;Acharya,2015

2. Data Mining: The Textbook;Aggarwal,2015

3. Improving the effectiveness of test suite through mining historical data;Anderson,2014

4. A practical guide for using statistical tests to assess randomized algorithms in software engineering;Arcuri,2011

5. On parameter tuning in search based software engineering;Arcuri,2011

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1. Multi‐objective optimization‐based and fault localization‐oriented test case generation for novice programs;Journal of Software: Evolution and Process;2024-05-27

2. Dynamic Test Case Prioritization in Industrial Test Result Datasets;Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024);2024-04-15

3. Propound method for improving the fault detection capabilities in regression testing through machine learning;AIP Conference Proceedings;2024

4. Search-Based Software Testing Driven by Automatically Generated and Manually Defined Fitness Functions;ACM Transactions on Software Engineering and Methodology;2023-12-23

5. A multi-objective evolutionary approach towards automated online controlled experiments;Journal of Systems and Software;2023-09

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