Test Automation Frameworks: Implementing Robust QA Solutions

EasyChair Preprint no. 11363

Abstract

In the rapidly evolving landscape of software development, the role of Quality Assurance (QA) has become pivotal in ensuring the delivery of high-quality products. Test Automation Frameworks stand at the forefront of efficient software testing, providing a structured approach to streamline QA processes and enhance productivity. This abstract aims to explore the significance of implementing robust test automation frameworks and their impact on delivering reliable software solutions. The abstract will delve into the foundational concepts of test automation frameworks, elucidating their core components, methodologies, and best practices. It will highlight the critical role they play in achieving test coverage, ensuring scalability, and optimizing resource utilization. Furthermore, this abstract will discuss the various types of test automation frameworks, such as data-driven, keyword-driven, and behavior-driven frameworks, emphasizing their suitability for different project requirements and environments. Additionally, the abstract will address the challenges commonly encountered in implementing test automation frameworks, including maintenance overheads, tool selection, and framework scalability. Strategies and techniques to mitigate these challenges will be explored, along with insights into fostering collaboration between development and QA teams for effective framework implementation. Moreover, this abstract will examine the implications of incorporating Artificial Intelligence (AI) and Machine Learning (ML) within test automation frameworks, showcasing how these technologies can revolutionize testing practices by enabling predictive analysis, adaptive testing, and intelligent test case generation.

Keyphrases: Measurement in Software Engineering, Metrics in QA, Software Quality Assurance

@Booklet{EasyChair:11363,
  author = {Smith Milson and Selim Olcay},
  title = {Test Automation Frameworks: Implementing Robust QA Solutions},
  howpublished = {EasyChair Preprint no. 11363},

  year = {EasyChair, 2023}}