An Overview of Quality Metrics Used in Estimating Software Faults
| dc.contributor.author | Alakus, Talha Burak | |
| dc.contributor.author | Das, Resul | |
| dc.contributor.author | Turkoglu, Ibrahim | |
| dc.date.accessioned | 2026-08-12T16:42:02Z | |
| dc.date.issued | 2019 | |
| dc.department | Fırat Üniversitesi | |
| dc.description | International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEY | |
| dc.description.abstract | Software reliability is highly affected by software quality attributes and measurements. Faults, bugs, and errors are shown not only in the development process but also in end-user period hereby it is required to detect these issues earlier. These are detected by software quality and object-oriented metrics which are commonly used in the fault detection process. CK, MOOD and QMOOD metrics are the most common metrics applied in this area. In this paper is to aim to provide information about popular software quality metrics and their usage in terms of software fault prediction studies. For this purpose, in this work, these three metrics were analyzed separately and their acquisition methods were showed. Moreover, in order for the software to survive with errors, to remove and minimize errors, a number of recommendations are presented in the conclusion section. | |
| dc.description.sponsorship | IEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesi | |
| dc.identifier.doi | 10.1109/idap.2019.8875925 | |
| dc.identifier.orcid | 0000-0003-3136-3341 | |
| dc.identifier.orcid | 0000-0002-6113-4649 | |
| dc.identifier.orcid | 0000-0003-4938-4167 | |
| dc.identifier.scopus | 2-s2.0-85074880324 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/idap.2019.8875925 | |
| dc.identifier.uri | https://hdl.handle.net/11508/46088 | |
| dc.identifier.wos | WOS:000591781100054 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260511 | |
| dc.subject | Software faults | |
| dc.subject | software metrics | |
| dc.subject | software engineering | |
| dc.subject | quality attributes | |
| dc.title | An Overview of Quality Metrics Used in Estimating Software Faults | |
| dc.type | Conference Object |







