Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 7 October 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.
Software testing is the process of evaluating a digital application or system to determine whether it works as expected, meets business requirements, and delivers a stable user experience. It involves verifying functionality, identifying defects, validating performance, and ensuring quality across structured software testing phases. Modern teams increasingly rely on automation and AI in software testing to detect issues faster, improve accuracy, and optimize testing cycles.
Organizations use multiple software testing types to ensure comprehensive coverage across functionality, performance, security, and usability. Common types include:
Many engineering teams use structured software testing frameworks to standardize how each type is planned, executed, and measured.
Organizations apply different software testing methods depending on test objectives, complexity, and system architecture. The most used methods include:
With the rise of AI in software testing, teams can automatically generate test cases, detect anomalies, and improve regression accuracy at scale.
Effective testing improves product quality and reduces business risk. Key software testing benefits include:
Comprehensive testing ensures that products remain consistent, secure, and ready for real-world use.