EconPapers    
Economics at your fingertips  
 

Multi-Error Location Method Based on Path Clustering and Failure Weighting

Xiaoyin Wang, Chunyang Hu, Jiaze Sun, Shuyan Wang and Tahir Mehmood

Mathematical Problems in Engineering, 2022, vol. 2022, 1-8

Abstract: Since the traditional multiple-error locating method in software testing is difficult to achieve, and its information analysis is inaccurate, a software multiple-error locating method based on path clustering and failure weighting is proposed in this paper. In an environment with complete test cases, the program execution context information is dynamically captured by running test cases, and a path matrix of execution trajectory information is constructed. The cluster analysis is used to divide clusters and expand the weight of failed execution and added to suspicious in the process of degree evaluation to troubleshoot multiple errors. Experiments are implemented on four benchmark programs. The results show that compared with the five methods based on the equivalent evaluation function, the error location cost of the proposed method was reduced by 19.15% on average and effectively improved the efficiency of error location.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/mpe/2022/9768400.pdf (application/pdf)
http://downloads.hindawi.com/journals/mpe/2022/9768400.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9768400

DOI: 10.1155/2022/9768400

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-03-19
Handle: RePEc:hin:jnlmpe:9768400