Methodological Framework to Guide the Development of Continual Evolution Methods
Ornela Çela (),
Mario Cortes-Cornax (),
Agnès Front () and
Dominique Rieu ()
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Ornela Çela: SIGMA - Systèmes d’Information - inGénierie et Modélisation Adaptables - LIG - Laboratoire d'Informatique de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019]
Mario Cortes-Cornax: SIGMA - Systèmes d’Information - inGénierie et Modélisation Adaptables - LIG - Laboratoire d'Informatique de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019]
Agnès Front: SIGMA - Systèmes d’Information - inGénierie et Modélisation Adaptables - LIG - Laboratoire d'Informatique de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019]
Dominique Rieu: SIGMA - Systèmes d’Information - inGénierie et Modélisation Adaptables - LIG - Laboratoire d'Informatique de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019]
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Abstract:
Companies live in a fast-changing environment imposing to constantly evolve in order to stay competitive. Such an evolution is carried out through continuous improvement cycles or radical changes often based on innovation that concern their products, their processes, their internal organization, etc. We refer to this situation as continual evolution. There are two implications of such continual evolution from our viewpoint: (a) the instillation of the "no end point" philosophy in organizations and (b) the use of methods based (1) on continual evolution cycles (by opposition to project-based approaches that have delimited budget and dates) and, (2) on autonomous and collective implication of the organization's actors. This article presents a methodological framework, called As-Is/As-If framework to support method engineers in handling such continual evolution. The framework offers a process model and a product meta-model that are both reusable instruments, aiming to guide the construction of continual evolution methods. The process model and product meta-model can be seen as prototypical examples to be adapted in each situation at hand using heuristics proposed as part of the framework. The usefulness of the framework is illustrated through two methods adaptations
Keywords: Method engineering; continual evolution; framework (search for similar items in EconPapers)
Date: 2019
Note: View the original document on HAL open archive server: https://hal.science/hal-02059792v1
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Published in Paolo Giorgini; Barbara Weber. Advanced Information Systems Engineering. 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings, 11483, Springer, pp.48-63, 2019, Lecture Notes in Computer Science, 978-3-030-21290-2. ⟨10.1007/978-3-030-21290-2_4⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02059792
DOI: 10.1007/978-3-030-21290-2_4
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