Marko Ikonen

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.

Building blocks for self-organizing software development teams a framework model and empirical pilot study

Anticipating Success of a Business-Critical Software Project: A Comparative Case Study of Waterfall and Agile Approaches

Preliminary insight into success factors related to project outcomes that can be found at the midpoint of the development projects are offered.

Operationalizing the Concept of Success in Software Engineering Projects

An indicative project success model for software engineering projects is proposed and evaluated empirically in a large multinational software corporation setting, showing the model provides a valuable tool for KIBS organizations to increase their capabilities in running successful projects as well as to find targets for improvements in these projects.

On the Impact of Kanban on Software Project Work: An Empirical Case Study Investigation

Performance Alignment Work: How software developers experience the continuous adaptation of team performance in Lean and Agile environments

This paper aims to understand how software developers experience the continuous adaptation of performance in a modern, highly volatile environment using Lean and Agile software development methodology and generates a grounded theory, Performance Alignment Work, showing howSoftware developers experience performance.