Quality Assurance Frameworks: Analyzing Effectiveness in Software Development Lifecycle

EasyChair Preprint 11487

Abstract

This research paper delves into the realm of Quality Assurance (QA) frameworks and their effectiveness in the Software Development Lifecycle (SDLC). The study aims to analyze and evaluate various QA frameworks, considering their impact on software quality, project timelines, and overall development efficiency. The research investigates prominent QA frameworks, both traditional and contemporary, to identify their strengths, weaknesses, and adaptability in different development environments. It examines how QA processes contribute to different phases of software development, from requirements gathering to post-deployment maintenance. The research also scrutinizes the collaboration between QA teams and other stakeholders, emphasizing the importance of communication and synergy for successful QA framework implementation. The findings aim to inform decision-making processes, foster continuous improvement in software development practices, and ultimately elevate the overall quality of delivered software products.

Keyphrases: AI, CS, SQA

@booklet{EasyChair:11487,
  author    = {Fatima Tahir},
  title     = {Quality Assurance Frameworks: Analyzing Effectiveness in Software Development Lifecycle},
  howpublished = {EasyChair Preprint 11487},
  year      = {EasyChair, 2023}}