Abstract
The early software reliability analysis is very useful for improving the quality of software at reduced testing effort. Software defect density indicator predicted in the early phases (requirement analysis, design and coding phases) provides an opportunity for the early identification of cost overrun, software development process issues and optimal development strategies. Failure data is not available in the early phases of the software development life cycle (SDLC). However, qualitative values of software metrics are available in the early phases of SDLC. Therefore, in this paper, a model is proposed to predict the software defect density indicator of early phases of SDLC using fuzzy logic and the reliability relevant software metrics of early artifacts. The proposed model is applied on twenty real software projects. It is observed that the requirement analysis phase defect density indicator value is relatively greater than that of the design and coding artifacts. The model is validated with the existing literature. Validation result is satisfactory.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of System Assurance Engineering and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
