Johanna, Ahmad and Salmi, Baharom and Abdul Azim, Abdul Ghani and Hazura, Zulzalil and Jamilah, Din (2019) Measuring the efficiency of MFWA technique for prioritizing event sequences test cases. International Journal of Advanced Trends in Computer Science and Engineering, 8 (1.4 S1). pp. 23-28. ISSN 2278 - 3091. (Published)
|
Pdf (Open access)
Measuring the efficiency of mfwa technique for prioritizing event.pdf Available under License Creative Commons Attribution Share Alike. Download (1MB) | Preview |
Abstract
The software development phase would frequently go through several changes and modifications. These are challenges that the tester of a system needs to face to ensure that the quality of the system aligns with the budget, resources, and time to deliver. Numerous techniques have been proposed to solve these problems and one of them is the test case prioritization (TCP) technique. The TCP technique is widely used for single event test cases. Thus, this paper would like to propose the Multifactor Weightage Approach (MFWA) using combinations of six factors to prioritize event sequence test cases. The percentage of test effort efficiency was used to measure the efficiency of the comparison technique. The results showed that the MFWA was more efficient compared to the random technique in terms of detecting faults earlier.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Software testing; Test case prioritization; Event sequences; Multifactor; Efficiency |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 16 Jan 2020 04:41 |
| Last Modified: | 16 Jan 2020 04:41 |
| URI: | http://umpir.ump.edu.my/id/eprint/27375 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |