SEJan 26, 2018

What is Large in Large-Scale? A Taxonomy of Scale for Agile Software Development

arXiv:1801.08730v1128 citations
Originality Synthesis-oriented
AI Analysis

This addresses a conceptual problem for researchers in agile software development, but it is incremental as it builds on existing interest without introducing new methods or data.

The paper tackles the lack of conceptual clarity in defining large-scale agile software development by proposing a taxonomy of scale, which aims to clarify research topics and ease discussions on priorities.

Positive experience of agile development methods in smaller projects has created interest in the applicability of such methods in larger scale projects. However, there is a lack of conceptual clarity regarding what large-scale agile software development is. This inhibits effective collaboration and progress in the research area. In this paper, we suggest a taxonomy of scale for agile software development projects that has the potential to clarify what topics researchers are studying and ease discussion of research priorities.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes