A Survey of Automated Software Fault Localization Approach

Autor: Tiantian Wang, Pei Jun Ma, Xiao Hong Su, Dan Dan Gong
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. :6102-6105
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.556-562.6102
Popis: Software testing run through the entire software development cycle, which consumes more than 50% of the development and maintenance effort. Fault localization is the most difficult and time-consuming task in software testing. Aimed at locating faults automatically in software, fault localization approach locates faults by running suitable test cases, so the quality of the test cases determines the effectiveness of fault localization. Therefore, the studies on test cases reduction approach for fault localization, automated fault-localization approach with high error-detection ability, and fault comprehension approach to help programmers understand the reason why a faulty statement cause failures have great significance for software testing and development. In this paper, the test cases reduction, fault localization, fault comprehension methods and their limitations are analyzed and summarized, and the future developing trend are discussed at last.
Databáze: OpenAIRE