Is Artificial Intelligence an Elixir to the Software Engineering Community? An Empirical Study Among Managers

Xin Zhao, Brian Vu, Sitesh Pattanaik

Keywords: Empirical Software Engineering, Artificial Intelligence, Software Development Managers

TL;DR: AI is transforming software engineering: managers see it boosting productivity and testing but raising concerns about privacy, accountability, and job loss, making human–AI collaboration skills more critical than ever.

Abstract: Background: Artificial intelligence is rapidly changing the landscape of software development. With the unique ability to quickly generate code and the potential to disrupt traditional workflows, AI tools have found growing adoption within the software development process. Subsequently, this topic has been the focus of academic work, including research examining qualitative impacts to productivity and the analysis of sentiments from the developers who utilize AI tools. While this material is extensive, our research team identified a gap within existing literature: what do software managers have to say? Goals: The overarching goal of this study is to examine the views of software managers on how AI tools have affected software development. We seek to understand how managers, who leverage a top-down view of the development process, perceive the influence of AI on their developers, on their own roles, and on the broader labor market. Methodology: To answer these questions, we conducted an empirical study by releasing an online questionnaire containing both qualitative and quantitative questions, sampling software managers employed across a range of companies. Results: Through a survey of 42 managers, we found that managers hold nuanced views on the introduction of AI into software development. They encourage developers to use AI, perceive it as valuable for testing, and apply it themselves for knowledge work. At the same time, they raise concerns about privacy, responsibility, transparency, and over-reliance. Many also predict a loss of jobs within the software development market due to consolidation driven by AI. Conclusion: AI is seen by managers as both a powerful productivity tool and a source of new ethical challenges. Our investigation paves the way for a comprehensive understanding of how AI is perceived by those who directly manage the introduction of these tools into traditional software development workflows, revealing a road map for future endeavors for the software development community.

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Paper Type: Full-length papers (i.e. case studies, theoretical, applied research papers). 8 pages

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Submission Number: 31