Efficient Adoption and Assessment of Multiple Process Improvement Reference Models

A variety of reference models such as CMMI, COBIT or ITIL support IT organizations to improve their processes. These process improvement reference models (IRMs) cover different domains such as IT development, IT Services or IT Governance but also share some similarities. As there are organizations t...

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Bibliographic Details
Main Authors: Simona Jeners, Horst Lichter, Carlos Gomez Rosenkranz
Format: Article
Language:English
Published: Wroclaw University of Science and Technology 2013-06-01
Series:e-Informatica Software Engineering Journal
Subjects:
Online Access:http://www.e-informatyka.pl/attach/e-Informatica_-_Volume_7/eInformatica2013Art2.pdf
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author Simona Jeners
Horst Lichter
Carlos Gomez Rosenkranz
author_facet Simona Jeners
Horst Lichter
Carlos Gomez Rosenkranz
author_sort Simona Jeners
collection DOAJ
description A variety of reference models such as CMMI, COBIT or ITIL support IT organizations to improve their processes. These process improvement reference models (IRMs) cover different domains such as IT development, IT Services or IT Governance but also share some similarities. As there are organizations that address multiple domains and need to coordinate their processes in their improvement we present MoSaIC, an approach to support organizations to efficiently adopt and conform to multiple IRMs. Our solution realizes a semantic integration of IRMs based on common meta-models. The resulting IRM integration model enables organizations to efficiently implement and asses multiple IRMs and to benefit from synergy effects.
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spelling doaj.art-dd44e92cbfe54dc39536b7c20e257afc2022-12-22T01:32:50ZengWroclaw University of Science and Technologye-Informatica Software Engineering Journal1897-79792084-48402013-06-0171152410.5277/e-Inf130102Efficient Adoption and Assessment of Multiple Process Improvement Reference ModelsSimona Jeners0Horst Lichter1Carlos Gomez Rosenkranz2Research Group Software Construction, RWTH Aachen UniversityResearch Group Software Construction, RWTH Aachen UniversityResearch Group Software Construction, RWTH Aachen UniversityA variety of reference models such as CMMI, COBIT or ITIL support IT organizations to improve their processes. These process improvement reference models (IRMs) cover different domains such as IT development, IT Services or IT Governance but also share some similarities. As there are organizations that address multiple domains and need to coordinate their processes in their improvement we present MoSaIC, an approach to support organizations to efficiently adopt and conform to multiple IRMs. Our solution realizes a semantic integration of IRMs based on common meta-models. The resulting IRM integration model enables organizations to efficiently implement and asses multiple IRMs and to benefit from synergy effects.http://www.e-informatyka.pl/attach/e-Informatica_-_Volume_7/eInformatica2013Art2.pdfSoftware Process Improvement
spellingShingle Simona Jeners
Horst Lichter
Carlos Gomez Rosenkranz
Efficient Adoption and Assessment of Multiple Process Improvement Reference Models
e-Informatica Software Engineering Journal
Software Process Improvement
title Efficient Adoption and Assessment of Multiple Process Improvement Reference Models
title_full Efficient Adoption and Assessment of Multiple Process Improvement Reference Models
title_fullStr Efficient Adoption and Assessment of Multiple Process Improvement Reference Models
title_full_unstemmed Efficient Adoption and Assessment of Multiple Process Improvement Reference Models
title_short Efficient Adoption and Assessment of Multiple Process Improvement Reference Models
title_sort efficient adoption and assessment of multiple process improvement reference models
topic Software Process Improvement
url http://www.e-informatyka.pl/attach/e-Informatica_-_Volume_7/eInformatica2013Art2.pdf
work_keys_str_mv AT simonajeners efficientadoptionandassessmentofmultipleprocessimprovementreferencemodels
AT horstlichter efficientadoptionandassessmentofmultipleprocessimprovementreferencemodels
AT carlosgomezrosenkranz efficientadoptionandassessmentofmultipleprocessimprovementreferencemodels