Software code defect prediction from requirements: a study based on COSMIC sizing data movements

Key Points

• Defect prediction improves with effective requirement analysis, significantly reducing future software issues.
• Key metrics include data movements and COSMIC sizing, essential for estimating defect likelihood.
• Observational analysis employing COSMIC sizing data highlights various potential software defects based on requirements.
• Findings emphasize the importance of accurate requirements in enhancing software engineering practices.