DeepAI AI Chat
Log In Sign Up

Continuous Software Engineering in the Wild

by   Eriks Klotins, et al.

Software is becoming a critical component of most products and organizational functions. The ability to continuously improve software determines how well the organization can respond to market opportunities. Continuous software engineering promises numerous advantages over sprint-based or plan-driven development. However, implementing a continuous software engineering pipeline in an existing organization is challenging. In this invited position paper, we discuss the adoption challenges and argue for a more systematic methodology to drive the adoption of continuous engineering. Our discussion is based on ongoing work with several industrial partners as well as experience reported in both state-of-practice and state-of-the-art. We conclude that the adoption of continuous software engineering primarily requires analysis of the organization, its goals, and constraints. One size does not fit all purposes, meaning that many of the principles behind continuous engineering are relevant for most organizations, but the level of realization and the benefits may still vary. The main hindrances to continuous flow of software arise from sub-optimal organizational structures and the lack of alignment. Once those are removed, the organization can implement automation to further improve the software delivery.


page 1

page 2

page 3

page 4


The Present and Future of Bots in Software Engineering

We are witnessing a massive adoption of software engineering bots, appli...

Classical to Quantum Software Migration Journey Begins: A Conceptual Readiness Model

With recent advances in the development of more powerful quantum compute...

How PHP Releases Are Adopted in the Wild?

This empirical paper examines the adoption of PHP releases in the the co...

Continuously Managing NFRs: Opportunities and Challenges in Practice

Non-functional requirements (NFR), which include performance, availabili...

Dezyne: Paving the Way to Practical Formal Software Engineering

Designing software that controls industrial equipment is challenging, es...

Continuous Design Control for Machine Learning in Certified Medical Systems

Continuous software engineering has become commonplace in numerous field...