A novel way to identify effective test-case in software testing
Journal Title: Electronic and Cyber Defense - Year 2023, Vol 11, Issue 2
Abstract
Test data generation is one of the costly parts of the software testing, which is performed according to the designed test cases. The problem of designing test cases and then generating optimized test data is one of the challenges of the software testing, including the mutation testing technique. mutation testing has the ability to measure the test cases quality and determine the adequate test cases. However, to perform mutation testing, you need a test set that provides the maximize Coverage of source code and thus have the ability to identify the program errors. In this work, we use code coverage techniques to design test cases and automatically generate optimized test data using the meta-heuristic FA-MABC algorithm. The results are a test suite that cover and test the maximum number of source code lines. Such test suite is more likely to identify errors and get a higher score in the mutation testing. In the proposed method to obtain effective test cases, first generated test cases are applied to mutation testing and then effective test cases are extracted using the Extinguished mutation table. The results of the evaluation show that the FA-MABC algorithm reduces the time of the test data generation, and “modified condition / decision coverage”, increases the mutation score.
Authors and Affiliations
Sadegh Bejani, Amir Hossein keymanesh
Keywords
Related Articles
- EP ID EP730064
- DOI -
- Views 55
- Downloads 0
Improve the detection of dangerous objects in x-ray images in security and military inspections using image processing approaches
Detection of dangerous objects in images obtained by X-ray scanners in security inspections has played an important role in protecting the public space from security threats such as terrorism and the occurrence of danger...
Motion-encoded Gravitational Search Algorithm for moving target search using UAVs
In this paper, a new algorithm called Motion Coding Gravitational Search Algorithm (MGSA) is proposed to find a moving target using a unmanned aerial vehicles (UAVs). Using the laws of physics and the properties of the e...
A method for quantitative evaluation of security risk in cyber-physical systems
Cyber-physical systems were introduced with the introduction of the cyber sector into physical systems and the emergence of Industry 4.0. Although the main purpose of this combination has been to increase the efficiency,...
A way to predict the stock price of the Tehran Stock Exchange in relation to knowledge
In recent years, due to the profitability of the stock market in Iran, small and large investments were attracted to this market, but unfortunately, due to their lack of knowledge of the stock market and price forecastin...
Providing an Improved Unmanned Aerial Vehicle Detection System to Increase Detection speed Using Deep Learning
Abstract:In recent years, Unmanned Aerial Vehicles have become significantly available to the public of people. Affordable prices, being equipped with advanced technologies, small sizes, easy portability and ⦠etc. cre...