منابع مشابه
Requirements-Based Test Case Prioritization
Test case prioritization techniques have been shown to improve regression-testing activities by increasing the rate of fault detection, thus allowing testers to fix faults earlier. The current techniques, mostly code coveragebased, treat all faults equally. We build upon this work to develop a prioritization scheme with two main goals: identifying the severe faults earlier and minimizing the co...
متن کاملA Survey on Model Based Test Case Prioritization
Regression testing is the process of validating modifications introduced in a system during software maintenance. As the test suite size is very large, system retesting consumes large amount of time and computing resources. This issue of retesting of software systems can be handled using a good test case prioritization technique. A prioritization technique schedules the test cases for execution...
متن کاملLiterature Review of Model Based Test case Prioritization
Software testing always “Performing Verification and Validation of the Software Product” for its correctness and accuracy of working. Every time it is not possible to perform each and every test case. Hence it is important to decide test case prioritization. The major goal of Test case prioritization is to prioritize the test case sequences and finding the faults as early as possible to improve...
متن کاملTest-case Prioritization with Model-checkers
The order in which test-cases are executed has an influence on the rate at which faults can be detected. In this paper we demonstrate how test-case prioritization can be performed with the use of model-checkers. For this, different well known prioritization techniques are adapted for model-based use. New property based prioritization techniques are introduced. In addition it is shown that prior...
متن کاملHypervolume-Based Search for Test Case Prioritization
Test case prioritization (TCP) is aimed at finding an ideal ordering for executing the available test cases to reveal faults earlier. To solve this problem greedy algorithms and meta-heuristics have been widely investigated, but in most cases there is no statistically significant difference between them in terms of effectiveness. The fitness function used to guide meta-heuristics condenses the ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017915088