Apply Particle Swarm Optimization Algorithm to Measure the Software Quality
The process of improvement software quality began from early stages of software engineering development. It uses multiple quality metrics which are very important in software development. To calculate the standards quality of in software testing has been adopted. The software testing is focusing...
| Main Authors: | , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Mosul University
2018-07-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163572_af5a36bd1f4b7a85b7a54a4cf4877b33.pdf |
| _version_ | 1811316368228745216 |
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| author | Ibrahim Saleh Salha Mahammead |
| author_facet | Ibrahim Saleh Salha Mahammead |
| author_sort | Ibrahim Saleh |
| collection | DOAJ |
| description | The process of improvement software quality began from early stages of software engineering development. It uses multiple quality metrics which are very important in software development. To calculate the standards quality of in software testing has been adopted. The software testing is focusing on the Software defect. In this paper is proposed new methods which combine the particle swarm optimization (PSO) to handle the best features Extraction with back-propagation networks to testing and evaluation of the data set . The paper depended database for NASA standards data. The result and experiment method improved quality performance for all classification methods used in the research"Combining Particle Swarm Optimization based Feature Selection and Bagging for Software Defect Prediction ". |
| first_indexed | 2024-04-13T11:47:33Z |
| format | Article |
| id | doaj.art-c52f05f9a1e94cacabceebfbf5672b68 |
| institution | Directory Open Access Journal |
| issn | 1815-4816 2311-7990 |
| language | Arabic |
| last_indexed | 2024-04-13T11:47:33Z |
| publishDate | 2018-07-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj.art-c52f05f9a1e94cacabceebfbf5672b682022-12-22T02:48:08ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902018-07-01121263610.33899/csmj.2018.163572163572Apply Particle Swarm Optimization Algorithm to Measure the Software QualityIbrahim Saleh0Salha Mahammead1College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqThe process of improvement software quality began from early stages of software engineering development. It uses multiple quality metrics which are very important in software development. To calculate the standards quality of in software testing has been adopted. The software testing is focusing on the Software defect. In this paper is proposed new methods which combine the particle swarm optimization (PSO) to handle the best features Extraction with back-propagation networks to testing and evaluation of the data set . The paper depended database for NASA standards data. The result and experiment method improved quality performance for all classification methods used in the research"Combining Particle Swarm Optimization based Feature Selection and Bagging for Software Defect Prediction ".https://csmj.mosuljournals.com/article_163572_af5a36bd1f4b7a85b7a54a4cf4877b33.pdfsoftware defectparticle swarm optimizationneural network back propagationnasa |
| spellingShingle | Ibrahim Saleh Salha Mahammead Apply Particle Swarm Optimization Algorithm to Measure the Software Quality Al-Rafidain Journal of Computer Sciences and Mathematics software defect particle swarm optimization neural network back propagation nasa |
| title | Apply Particle Swarm Optimization Algorithm to Measure the Software Quality |
| title_full | Apply Particle Swarm Optimization Algorithm to Measure the Software Quality |
| title_fullStr | Apply Particle Swarm Optimization Algorithm to Measure the Software Quality |
| title_full_unstemmed | Apply Particle Swarm Optimization Algorithm to Measure the Software Quality |
| title_short | Apply Particle Swarm Optimization Algorithm to Measure the Software Quality |
| title_sort | apply particle swarm optimization algorithm to measure the software quality |
| topic | software defect particle swarm optimization neural network back propagation nasa |
| url | https://csmj.mosuljournals.com/article_163572_af5a36bd1f4b7a85b7a54a4cf4877b33.pdf |
| work_keys_str_mv | AT ibrahimsaleh applyparticleswarmoptimizationalgorithmtomeasurethesoftwarequality AT salhamahammead applyparticleswarmoptimizationalgorithmtomeasurethesoftwarequality |