10 papers analyzed
These studies suggest that software quality assurance involves systematic processes and tools to ensure software quality, adherence to standards, and customer satisfaction, while integrating advanced technologies like AI and machine learning to enhance efficiency.
Software Quality Assurance (SQA) is a critical aspect of the software development lifecycle, ensuring that software products meet specified requirements and standards. It involves systematic processes to monitor, evaluate, and improve the quality of software through various methodologies, tools, and practices.
Definition and Scope of SQA:
Historical Context and Evolution:
Importance of Standards and Customer Satisfaction:
Management and Visibility:
Key Functions and Activities:
Role of Metrics and Measurement:
Modern Methodologies and Tools:
Software Quality Assurance is a comprehensive process that spans the entire software development lifecycle, ensuring adherence to standards and preventing defects. It has evolved significantly, incorporating modern methodologies and tools such as AI and test automation. Effective SQA practices are essential for meeting customer expectations, maintaining market reputation, and ensuring the delivery of high-quality software products.
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