Productivity Sprint: Testing Autonomous, Motivation, Productivity and Interruptions Among Software Developers

Abstract

This research study starts with a thorough literature review to establish a solid foundation and contextualize the investigation on developers' perception of productivity sprints and their impact on motivation and productivity. By analyzing existing studies, the review provides a deeper understanding of the topic and identifies gaps in current knowledge. Building upon these insights, the study employs a mixed-methods approach, incorporating a survey questionnaire and an experiment protocol involving a sample of 10 software engineers.

The participants, consisting of front-end and back-end developers, are chosen based on availability and willingness to participate. They work in a fintech company that follows a two-week sprint cycle, providing a well-structured framework for the study. The survey questionnaire aims to gather subjective feedback and valuable insights on developers' perceptions of autonomy, satisfaction, interruptions, and software metrics during productivity sprints. The experiment protocol integrates the productivity sprint into the participants' existing work processes to measure potential changes in motivation and productivity over the sprint period.

The survey results indicate a generally positive reception towards productivity sprints, with the majority of participants expressing interest in future participation. The study finds that autonomy, satisfaction, and minimal interruptions during sprints positively correlate with motivation and productivity levels. Furthermore, the analysis reveals variations in experiences based on developers' roles, experience levels, and nationalities, underscoring the significance of these factors in shaping perceptions.

The systematic literature review serves as a robust foundation, providing a comprehensive understanding of existing knowledge and highlighting the research findings' significance within the broader context of software engineering practices. The formulated research questions guide the exploration of the topic and ensure that relevant aspects are considered.

Publication Type
Publication Year
Department
Software Engineering
Subject
Computer Science