Exploring Agile Testing Methodologies: A Perspective from the Software Industry
Journal Title: International Journal of Innovations in Science and Technology - Year 2024, Vol 6, Issue 2
Abstract
Agile testing is a fast-paced testing method that adheres to the principles outlined in the Agile Manifesto. This research paper explores the adoption of Agile testing methodologies in the context of software houses in Pakistan. The study focuses on identifying the prevalent Agile testing techniques preferred by Software Quality Assurance (SQA) teams and the factors influencing their selection. A survey was conducted to gather insights from professionals in the industry, including SQA experts, developers, and project managers. The findings provided valuable information on the most widely used Agile testing methodologies and the reasons behind their popularity. The core objective of this research is to provide the knowledge related to implemented methodologies, reasons behind the selection of these methodologies, factors that influence the selection of testing tools and techniques, satisfaction level of their selected tools, and how effective their selected tools or techniques are in terms of reducing the number of bugs. The study's contribution lies in offering guidance to software houses in Pakistan by facilitating the adoption of effective Agile testing techniques. The research concludes with recommendations for improving testing practices and enhancing the overall quality of software products in the industry.
Authors and Affiliations
Mahdia Shoaib, Eman Fatima, Nosheen Sabahat, Nosheen Qamar
Keywords
Related Articles
- EP ID EP760360
- DOI -
- Views 28
- Downloads 0
Leveraging Cryptographic Primitives of Blockchain for Trust in Smart Systems
Calculating and maintaining trust using Hyperledger Fabric in smart systems plays a vital role in mitigating various trust-related attacks. Current smart systems encounter several challenges, including dependence on ce...
Fine-Tuning Audio Compression: Algorithmic Implementation and Performance Metrics
Introduction/Importance of Study: This study introduces a comprehensive evaluation of audio compression algorithms to address the increasing demand for efficient data compression techniques in various audio processing...
A Review on Cloud Computing Threats, Securityand Possible Solutions
loud computing is increasingly popular, with major companies like Microsoft, Google, and Amazon creating expansive cloud environments to support vast user bases. Despite its benefits, security remains a significant con...
Designing an AI-Based Greenhouse Plant Monitoring System to Detect and Classify Plant Diseases from Leaf Images
Plant diseases can significantly hinder food crop production, leading to substantial economic losses and posing a threat to global food security. Machine learning, particularly deep learning, plays a crucial role in ob...
Predictive Maintenance Using Deep Learning: Enhancing Reliability and Reducing Electrical System Downtime
Predictive Maintenance (PM) is crucial for enhancing the reliability of electrical systems and minimizing unscheduled outages. However, the conventional methodology lacks the ability to address the escalating and diver...