You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience. Necessary Necessary.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information. Non-necessary Non-necessary. Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies.
Technical Debt in Test Automation Abstract: Automated test execution is one of the more popular and available strategies to minimize the cost for software testing, and is also becoming one of the central concepts in modern software development as methods such as test-driven development gain popularity. Published studies on test automation indicate that the maintenance and development of test automation tools commonly encounter problems due to unforeseen issues.
To further investigate this, we performed a case study on a telecommunication subsystem to seek factors that contribute to inefficiencies in use, maintenance, and development of the automated testing performed within the scope of responsibility of a software design team. Authors: Advanced Search Include Citations. Abstract Abstract — Software repositories hold applications that are often categorized to improve the effectiveness of various maintenance tasks. Keyphrases software maintenance source code ieee international conference categorizing software application software project automatic categorization approach software categorization software application automatic categorization new approach novel approach predict maintenance problem large java repository organizational reason application programming interface source repository api call thirdparty library open-source repository binary executables various maintenance task abstract software small number first comprehensive empirical evaluation closed-source one machine learning.
Powered by:.
0コメント