From Manual Quality Engineer to Successful Automation Engineer (Published)
The transition from manual quality assurance to automation engineering represents a strategic career advancement opportunity in the software development industry. This technical review explores the substantial professional and economic benefits associated with this career evolution path. As enterprise applications become increasingly complex, organizations face widening skills gaps between traditional testing approaches and modern development requirements. Quality professionals making this transition leverage their existing expertise while developing new technical capabilities. The comprehensive understanding of application vulnerabilities, user behavior patterns, and testing methodologies provides former manual testers with unique advantages when creating automation frameworks. This document examines the core competencies required for successful transition, including programming proficiency, debugging capabilities, and infrastructure knowledge. A structured approach to making this career shift encompasses skills assessment, strategic learning, practical implementation, and progressive responsibility expansion. The emergence of hybrid roles reflects industry recognition of the value that quality-focused professionals bring to development processes. Beyond individual career advancement, these transitions significantly impact software development practices by enabling more integrated approaches to quality assurance throughout the development lifecycle.
Keywords: Quality Assurance, Software testing, automation engineering, career transition, technical upskilling
Locate a pin in a Haystack before the Customer Finds (Published)
Software testing is becoming as much vital today as is taking meals everyday. Researchers say that testing a day, keeps errors at the bay. Literature suggests that software testing should be done during requirements analysis phase, software design phase, software coding phase and also during software maintenance phase. Different types, different models and different layers of testing have been proposed in literature. The need is to test the software at every stage by any means. Testing may vary from documents testing (static testing) to code testing (dynamic testing). And finally, during maintenance phase also regression testing must be done. But locating errors in the source code is as much difficult as much is locating a pin in a haystack.
Keywords: Dynamic testing, Regression testing., Software testing, Static testing, Testing everyday