Setting the Scope for a New Agile Assessment Model: Results of an Empirical Study

Doruk Tuncel, Christian Körner, Reinhold Plösch

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Agile software development methods have been increasingly adopted by many organizations at different organizational levels. Whether named agile adoption, agile transition, agile transformation, digital transformation or new ways of working, the success of embracing this change process mostly remains uncertain. This is primarily because there are many ways of evaluating success. Based on the existing agile assessment models, we developed a model of principles with associated clusters that serves as a core for a new agile assessment model that is capable of assessing agile organizations at different scale. Towards our ultimate goal to establish a lightweight, context-sensitive agile maturity model, we validated our initial findings in an expert interview study to identify improvement points, and ensure the at hand model’s applicability, coherence and relevance. The results of the interview study show that the structure as well as the content of our assessment model fits with the experts’ expectations and experience.
Original languageEnglish
Title of host publication22nd International Conference on Agile Software Development (XP 2021), Proceedings of XP 2021 conference, June 14-18, 2021, online.
EditorsPeggy Gregory, Casper Lassenius, Xiaofeng Wang, Philippe Kruchten
PublisherSpringer, Cham
Pages55-70
Number of pages16
Volume419
ISBN (Print)978-3-030-78097-5
DOIs
Publication statusPublished - Jun 2021

Publication series

NameLecture Notes in Business Information Processing
Volume419 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Fields of science

  • 202017 Embedded systems
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 201132 Computational engineering
  • 201305 Traffic engineering
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Digital Transformation

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