Sustaining Agile Beyond Adoption

Agile approaches are adopted in industry to improve outcomes from software development, and are increasingly the subject of research studies. However, adoption is not the end of the story. Agile requires on-going change and commitment in order to become sustainable and embedded within teams and organisations. This study explores current perceptions of post-adoptive agility. We asked 50 practitioners ‘what does agile sustainability mean to you?’. Analysis of practitioner comments identified four themes: being completely agile, independent, focused on business value and need, and consistent across time. Post-adoptive agile is an under-researched area, there is inconsistent use of terminology, and there is a gap between practitioners’ and researchers’ perceptions about what is important for sustaining agile

Explorando o Conhecimento em Equipe na Engenharia de Software: Um Estudo de Caso Múltiplo

O trabalho em equipe envolve processos cognitivos também chamados de conhecimento em equipe (CE). Contudo, o entendimento do CE em desenvolvimento de software ainda é limitado. Objetivo: Portanto, este trabalho busca investigar os impactos dos diversos tipos de conhecimento em equipe na Engenharia de Software e entender quais conhecimentos em equipe são promovidos por práticas como a posse de código compartilhada e a reunião diária. Metodologia: Foram realizadas 30 entrevistas semi-estruturadas e observações. Os dados foram analisados utilizando técnicas de teoria fundamentada.  Resultados: Dentro do contexto investigado, foram encontrados 13 fatores que são afetados pelo o conhecimento em equipe e quais são os conhecimentos em equipes promovidos pela posse de código compartilhada (4 CE) e pela reunião diária (5 CE)

Rethinking Productivity in Software Engineering

Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll Learn Review the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology. ; Collects the wisdom of software engineering thought leaders in a form digestible for any developer Shares hard-won best practices and pitfalls to avoid An up to date look at current practices in software engineering productivit

Rethinking Productivity in Software Engineering

Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll Learn Review the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology. ; Collects the wisdom of software engineering thought leaders in a form digestible for any developer Shares hard-won best practices and pitfalls to avoid An up to date look at current practices in software engineering productivit