How Technology Fails Developers: A Qualitative Investigation of Tool, Architecture, and Legacy System Deficiencies in Software Error Introduction
Abstract
Purpose: This study investigated the technological deficiencies contributing to software errors in software products, examining how inadequacies in development tools, developer expertise gaps, architectural failures, modern technology adoption challenges, and legacy system constraints create conditions for software errors. Methodology: A qualitative phenomenological design was employed. Semi-structured interviews were conducted with 12 experienced software developers averaging 14.5 years of experience in U.S.-based organizations across retail, healthcare, technology, and financial sectors. Data were analyzed using reflexive thematic analysis in NVivo 14, anchored in the Technological Context construct of the Technology-Organization-Environment (TOE) framework. Findings: Five themes emerged from this study, theme 1. Inadequacies in development tools and practices- discovering the challenges with existing tools and developer practices; theme 2. Impact of developer expertise and practices on software quality- discusses how the individual work experience shows bias in software development; theme 3. System architecture and oversight failures- discusses the software errors caused due to poor architecture and error monitoring; theme 4. The role of modern technologies and automation- discusses the impact of AI coding assistants; theme 5. Challenges posed by legacy systems and external integrations- elaborates how legacy systems limit developers’ productivity and software innovation. These themes collectively constitute the Technological Error Origin Framework (TEOF). Unique contribution to theory, practice and policy: This study provides the first developer-experience-grounded, phenomenologically anchored account of software error origins within the TOE framework. Organizations should invest in integrated error-detection toolchains, implement developer upskilling programs spanning both technical and domain knowledge, enforce architecture-first principles with mandatory monitoring, and establish structured legacy modernization roadmaps.