Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?

TL;DR

This paper discusses how integrating quantitative and qualitative methods from behavioral sciences can improve understanding and measurement of software engineer behavior, aiming to enhance software engineering practices.

Contribution

It advocates for a holistic approach combining psychometric and qualitative data to advance behavioral software engineering research.

Findings

Highlighting the importance of behavioral measures in software engineering

Demonstrating the relevance of international initiatives in this field

Proposing methodological frameworks from behavioral sciences

Abstract

This paper explores the intricate challenge of understanding and measuring software engineer behavior. More specifically, we revolve around a central question: How can we enhance our understanding of software engineer behavior? Grounded in the nuanced complexities addressed within Behavioral Software Engineering (BSE), we advocate for holistic methods that integrate quantitative measures, such as psychometric instruments, and qualitative data from diverse sources. Furthermore, we delve into the relevance of this challenge within national and international contexts, highlighting the increasing interest in understanding software engineer behavior. Real-world initiatives and academic endeavors are also examined to underscore the potential for advancing this research agenda and, consequently, refining software engineering practices based on behavioral aspects. Lastly, this paper addresses different ways to evaluate the progress of this challenge by leveraging methodological skills derived from behavioral sciences, ultimately contributing to a deeper understanding of software engineer behavior and software engineering practices.