Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework
Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share simila...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Winter, Michael [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Information systems and e-business management - New York, NY [u.a.] : Springer, 2003, 21(2023), 3 vom: Sept., Seite 723-751 |
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| Übergeordnetes Werk: |
volume:21 ; year:2023 ; number:3 ; month:09 ; pages:723-751 |
| Links: |
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| DOI / URN: |
10.1007/s10257-023-00642-2 |
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| Katalog-ID: |
SPR053417763 |
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| 520 | |a Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. | ||
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10.1007/s10257-023-00642-2 doi (DE-627)SPR053417763 (SPR)s10257-023-00642-2-e DE-627 ger DE-627 rakwb eng Winter, Michael verfasserin (orcid)0000-0003-2561-7923 aut Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. Process model (dpeaa)DE-He213 Process modeling (dpeaa)DE-He213 Process model comprehension (dpeaa)DE-He213 Process quality (dpeaa)DE-He213 Process model comprehension framework (dpeaa)DE-He213 Pryss, Rudiger aut Fink, Matthias aut Reichert, Manfred aut Enthalten in Information systems and e-business management New York, NY [u.a.] : Springer, 2003 21(2023), 3 vom: Sept., Seite 723-751 (DE-627)477043690 (DE-600)2173306-5 1617-9854 nnns volume:21 year:2023 number:3 month:09 pages:723-751 https://dx.doi.org/10.1007/s10257-023-00642-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2023 3 09 723-751 |
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10.1007/s10257-023-00642-2 doi (DE-627)SPR053417763 (SPR)s10257-023-00642-2-e DE-627 ger DE-627 rakwb eng Winter, Michael verfasserin (orcid)0000-0003-2561-7923 aut Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. Process model (dpeaa)DE-He213 Process modeling (dpeaa)DE-He213 Process model comprehension (dpeaa)DE-He213 Process quality (dpeaa)DE-He213 Process model comprehension framework (dpeaa)DE-He213 Pryss, Rudiger aut Fink, Matthias aut Reichert, Manfred aut Enthalten in Information systems and e-business management New York, NY [u.a.] : Springer, 2003 21(2023), 3 vom: Sept., Seite 723-751 (DE-627)477043690 (DE-600)2173306-5 1617-9854 nnns volume:21 year:2023 number:3 month:09 pages:723-751 https://dx.doi.org/10.1007/s10257-023-00642-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2023 3 09 723-751 |
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10.1007/s10257-023-00642-2 doi (DE-627)SPR053417763 (SPR)s10257-023-00642-2-e DE-627 ger DE-627 rakwb eng Winter, Michael verfasserin (orcid)0000-0003-2561-7923 aut Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. Process model (dpeaa)DE-He213 Process modeling (dpeaa)DE-He213 Process model comprehension (dpeaa)DE-He213 Process quality (dpeaa)DE-He213 Process model comprehension framework (dpeaa)DE-He213 Pryss, Rudiger aut Fink, Matthias aut Reichert, Manfred aut Enthalten in Information systems and e-business management New York, NY [u.a.] : Springer, 2003 21(2023), 3 vom: Sept., Seite 723-751 (DE-627)477043690 (DE-600)2173306-5 1617-9854 nnns volume:21 year:2023 number:3 month:09 pages:723-751 https://dx.doi.org/10.1007/s10257-023-00642-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2023 3 09 723-751 |
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10.1007/s10257-023-00642-2 doi (DE-627)SPR053417763 (SPR)s10257-023-00642-2-e DE-627 ger DE-627 rakwb eng Winter, Michael verfasserin (orcid)0000-0003-2561-7923 aut Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. Process model (dpeaa)DE-He213 Process modeling (dpeaa)DE-He213 Process model comprehension (dpeaa)DE-He213 Process quality (dpeaa)DE-He213 Process model comprehension framework (dpeaa)DE-He213 Pryss, Rudiger aut Fink, Matthias aut Reichert, Manfred aut Enthalten in Information systems and e-business management New York, NY [u.a.] : Springer, 2003 21(2023), 3 vom: Sept., Seite 723-751 (DE-627)477043690 (DE-600)2173306-5 1617-9854 nnns volume:21 year:2023 number:3 month:09 pages:723-751 https://dx.doi.org/10.1007/s10257-023-00642-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2023 3 09 723-751 |
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10.1007/s10257-023-00642-2 doi (DE-627)SPR053417763 (SPR)s10257-023-00642-2-e DE-627 ger DE-627 rakwb eng Winter, Michael verfasserin (orcid)0000-0003-2561-7923 aut Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. Process model (dpeaa)DE-He213 Process modeling (dpeaa)DE-He213 Process model comprehension (dpeaa)DE-He213 Process quality (dpeaa)DE-He213 Process model comprehension framework (dpeaa)DE-He213 Pryss, Rudiger aut Fink, Matthias aut Reichert, Manfred aut Enthalten in Information systems and e-business management New York, NY [u.a.] : Springer, 2003 21(2023), 3 vom: Sept., Seite 723-751 (DE-627)477043690 (DE-600)2173306-5 1617-9854 nnns volume:21 year:2023 number:3 month:09 pages:723-751 https://dx.doi.org/10.1007/s10257-023-00642-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2023 3 09 723-751 |
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Winter, Michael |
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Winter, Michael misc Process model misc Process modeling misc Process model comprehension misc Process quality misc Process model comprehension framework Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework |
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towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework |
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Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework |
| abstract |
Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. © The Author(s) 2023 |
| abstractGer |
Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. © The Author(s) 2023 |
| abstract_unstemmed |
Abstract Process models constitute crucial artifacts in modern information systems, and their proper comprehension is of utmost importance in utilizing such systems. Generally, process models are considered from two different perspectives: process modelers and readers. Both perspectives share similarities and differences in the comprehension of process models (e.g., diverse experiences when working with process models). The literature proposed many rules and guidelines to ensure proper comprehension of process models for both perspectives. As a novel contribution in this context, this paper introduces the process model comprehension framework (PMCF), constituting a first approach towards the measurement and quantification of the perspectives of process modelers and readers, as well as the interaction of both regarding the comprehension of process models. Therefore, the PMCF describes an Evaluation theory tree based on the communication theory and the conceptual modeling quality framework and considers a total of 96 quality metrics to quantify process model comprehension. Furthermore, the PMCF was evaluated in a survey with 131 participants and has been implemented and applied successfully in a practical case study including 33 participants. To conclude, the PMCF allows for the identification of pitfalls and provides related information about how to assist process modelers and readers in fostering and enabling a proper comprehension of process models. © The Author(s) 2023 |
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Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework |
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https://dx.doi.org/10.1007/s10257-023-00642-2 |
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| author2 |
Pryss, Rudiger Fink, Matthias Reichert, Manfred |
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Pryss, Rudiger Fink, Matthias Reichert, Manfred |
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| doi_str |
10.1007/s10257-023-00642-2 |
| up_date |
2024-07-03T19:22:41.747Z |
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| score |
7.3984003 |