Test case prioritization based on Artificial Fish School Algorithm

2021 ◽  
Author(s):  
Ying Xing ◽  
Xingde Wang ◽  
Qianpeng Shen
Keyword(s):  
Test Case ◽  
Test Case Prioritization ◽  
Fish School

scholarly journals Reinforcement Learning for Test Case Prioritization

2021 ◽  
pp. 1-1
Author(s):  
Mojtaba Bagherzadeh ◽  
Nafiseh Kahani ◽  
Lionel Briand
Keyword(s):  
Reinforcement Learning ◽  
Test Case ◽  
Test Case Prioritization

scholarly journals Using Fuzzy Logic in Test Case Prioritization for Regression Testing Programs with Assertions

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ali M. Alakeel
Keyword(s):  
Fuzzy Logic ◽  
Regression Testing ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Software Developers ◽  
Novel Approach ◽  
History Of ◽  
Supporting Tool

Program assertions have been recognized as a supporting tool during software development, testing, and maintenance. Therefore, software developers place assertions within their code in positions that are considered to be error prone or that have the potential to lead to a software crash or failure. Similar to any other software, programs with assertions must be maintained. Depending on the type of modification applied to the modified program, assertions also might have to undergo some modifications. New assertions may also be introduced in the new version of the program, while some assertions can be kept the same. This paper presents a novel approach for test case prioritization during regression testing of programs that have assertions using fuzzy logic. The main objective of this approach is to prioritize the test cases according to their estimated potential in violating a given program assertion. To develop the proposed approach, we utilize fuzzy logic techniques to estimate the effectiveness of a given test case in violating an assertion based on the history of the test cases in previous testing operations. We have conducted a case study in which the proposed approach is applied to various programs, and the results are promising compared to untreated and randomly ordered test cases.

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