Symptom-Based Improvement Advice: A New Relevant-Focused Problem-Based Framework

Jan Pries-Heje, Jørn Johansen*, Morten Korsaa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Classic maturity models require one or more trained assessors interacting with interviewees from the organization. This is a very rigorous and therefore costly process. In this paper we have developed the opposite; a relevant-focused and problem-based approach that can be used to generate improvement advice. We start out from the observation that trained assessors often observe symptoms when they enter an organization and find that there is an intuitive correlation with the given recommendations. We then developed a framework of symptoms and underlying problems using a technique called cognitive mapping. This framework was then used in a large organization to derive recommendations based on symptoms. This proof-of-concept seemed to work quite well. We present our framework and discuss how it can be implemented as an online tool. Further we identify several ways our approach can be further researched.

Original languageEnglish
Title of host publicationSystems, Software and Services Process Improvement - 28th European Conference, EuroSPI 2021, Proceedings
EditorsMurat Yilmaz, Paul Clarke, Richard Messnarz, Michael Reiner
Number of pages12
PublisherSpringer
Publication date2021
Pages139-150
ISBN (Print)9783030855208
DOIs
Publication statusPublished - 2021
Event28th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2021 - Krems, Austria
Duration: 1 Sep 20213 Sep 2021

Conference

Conference28th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2021
Country/TerritoryAustria
CityKrems
Period01/09/202103/09/2021
SeriesCommunications in Computer and Information Science
Volume1442
ISSN1865-0929

Keywords

  • CMMI
  • Cognitive map
  • Improvement
  • Maturity
  • Process Improvement

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