Test suite reduction based on traceability matrix with association rule mining technique

Autor:	D. Jeyamala, B. Subashini
Rok vydání:	2017
Předmět:	Association rule learning Computer science business.industry General Decision Sciences General Business Management and Accounting Reliability engineering Test (assessment) Software development process Software Test case Test suite Dependability business Traceability matrix
Zdroj:	International Journal of Information Systems and Change Management. 9:205
ISSN:	1479-313X 1479-3121
DOI:	10.1504/ijiscm.2017.10010986
Popis:	In programming development life cycle, testing assumes a significant part, which enhances the quality, dependability, and execution of the framework. For testing the functionality of software or program, test suites, an accumulation of test cases are created and it verifies software which operates in conformance with the requirement specification. Since large amounts of test cases are generated, it may be redundant. In this paper, the test suite can be drastically diminished by fusing data mining, philosophy of association rule mining technique in software testing. The proposed technique will reduce the redundant and irrelevant test suite in testing the software. It results in a healthier test suite, which saves time, effort, cost and results in better coverage analysis and efficiency. Lastly, this paper contrasts the proposed calculation and the existing one utilising case study analyses.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40744c48b68c2cf0960658b1367c1c23 https://doi.org/10.1504/ijiscm.2017.10010986 Zobrazit plný text záznamu