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The term '''Meta-process modeling''' as described here belongs to the context of [[Information System Development]], in specific to the discipline of ‘[[Method Engineering]]’ / ‘[[Situational Method Engineering]]’, or ‘[[Process Engineering]]’.
Method Engineering(as a component of case tools architecture) “represents the effort to improve the usefulness of systems development methods by creating an adaptation framework whereby methods are created to match specific organisational situations” <ref name="Rolland 1997"> C. Rolland. A Primer for Method Engineering. Proceedings of the INFORSID Conference (INFormatique des ORganisations et Systemes d'Information et de Decision), Toulouse, France, June 10-13, 1997. </ref>. Meta-process models are a means to achieve this goal. They support the effort of creating flexible [[Process Model]]s, also known as [[Situational Method Engineering]].
Meta-process modeling focuses on and supports the process of construction [[Process Model]]s. Its main concern is to improve process models and to make them evolve, which in turn, will support the development of systems <ref name="Rolland 1998"> C. Rolland. A Comprehensive View of Process Engineering. Proceedings of the 10th International Conference CAiSE'98, B. Lecture Notes in Computer Science 1413, Pernici, C. Thanos (Eds), Springer. Pisa, Italy, June 1998. </ref>. This is important due to the fact that “[[Process]]es change with time and so do the [[Process Model]]s underlying them. Thus, new processes and models may have to be built and existing ones improved” <ref name="Rolland 1998" />. “The focus has been to increase the level of formality of process models in order to make possible their enactment in process-centred software environments” <ref name="Rolland 1999"> C. Rolland, N. Prakash, A. Benjamen. A Multi-Model View of Process Modelling. Requirements Engineering. Volume 4, Number 4. Springer-Verlag London Ltd , 1999 </ref> referring to <ref name="Finkelstein 1994"> A. Finkelstein, J. Kramer, B. Nuseibeh (eds). Software process modelling and technology. Wiley, New York, 1994 </ref>.
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