Pull Request Decisions Explained: An Empirical Overview

Context: The pull-based development model is widely used in open source projects, leading to the emergence of trends in distributed software development. One aspect that has garnered significant attention concerning pull request decisions is the identification of explanatory factors. Objective: This study builds on a decade of research on...

Promises and Perils of Inferring Personality on GitHub

Background: Personality plays a pivotal role in our understanding of human actions and behavior. Today, the applications of personality are widespread, built on the solutions from psychology to infer personality. Aim: In software engineering, for instance, one widely used solution to infer personality uses textual communication data. As studies...

Questions for Data Scientists in Software Engineering: A Replication

In 2014, a Microsoft study investigated the sort of questions that data science applied to software engineering should answer. This resulted in 145 questions that developers considered relevant for data scientists to answer, thus providing a research agenda to the community. Fast forward to five years, no further studies investigated whether the...

The Delta Maintainability Model: Measuring Maintainability of Fine-Grained Code Changes

Existing maintainability models are used to identify technical debt of software systems. Targeting entire codebases, such models lack the ability to determine shortcomings of smaller, fine-grained changes. This paper proposes a new maintainability model – the Delta Maintainability Model (DMM) – to measure fine-grained code changes, such as...

Releasing Fast and Slow: An Exploratory Case Study at ING

The appeal of delivering new features faster has led many software projects to adopt rapid releases. However, it is not well understood what the effects of this practice are. This paper presents an exploratory case study of rapid releases at ING, a large banking company that develops software solutions in-house, to characterize rapid releases....

Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub

Background: Open source software projects show gender bias suggesting that other demographic characteristics of developers, like geographical location, can negatively influence evaluation of contributions too. Aim: This study contributes to this emerging body of knowledge in software development by presenting a quantitative analysis of the...