Multi-model Environment Generation and Tailoring Model for Software Process Improvement

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

Abstract

Software development organizations take great risks when are faced with process improvement projects and the inclusion of best practices. Such risks include the selection of a standard, framework or model for the improvement process. Some organizations decide to integrate best practices from different sources to be non-dependent on a particular model, framework or standard. However, the integration of different models is an additional challenge since the complexity of the implementation increases as best practices come from different natures. Hence, we propose a model to generate and customize a multi-model environment for software process improvement. We intend to reduce the complexity of combining agile and traditional frameworks by generating a frameworks integration catalog, which, from heuristics, graphically represents the possible paths to follow for the process improvement project. We use design-based science for this research because of its focus on problem analysis in real-world environments. In this way, we can consolidate the model to customize and generate a multi-model environment for the implementation of best practices of different nature during an improvement process. We also define a proposal of organizational profiles, which will allow us to validate the model in a business case in future work.

Original languageEnglish
Title of host publicationTrends and Innovations in Information Systems and Technologies - Volume 1, WorldCIST 2020
EditorsÁlvaro Rocha, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo, Irena Orovic, Fernando Moreira
PublisherSpringer
Pages620-630
Number of pages11
ISBN (Print)9783030456870
DOIs
StatePublished - 1 Jan 2020
Event8th World Conference on Information Systems and Technologies, WorldCIST 2020 - Budva, Montenegro
Duration: 7 Apr 202010 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1159 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference8th World Conference on Information Systems and Technologies, WorldCIST 2020
CountryMontenegro
CityBudva
Period7/04/2010/04/20

Keywords

  • Multi-model environment
  • Software engineering
  • Software process improvement

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