Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them
Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Ba...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zayan, Dina [verfasserIn] Sarkar, Atrisha [verfasserIn] Antkiewicz, Michał [verfasserIn] Maciel, Rita Suzana Pitangueira [verfasserIn] Czarnecki, Krzysztof [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Software and systems modeling - Berlin : Springer, 2002, 18(2018), 3 vom: 12. Jan., Seite 2213-2239 |
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| Übergeordnetes Werk: |
volume:18 ; year:2018 ; number:3 ; day:12 ; month:01 ; pages:2213-2239 |
| Links: |
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| DOI / URN: |
10.1007/s10270-017-0652-3 |
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| Katalog-ID: |
SPR009316124 |
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| 520 | |a Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. | ||
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| 650 | 4 | |a Empirical study |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Example-driven modeling |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Sarkar, Atrisha |e verfasserin |4 aut | |
| 700 | 1 | |a Antkiewicz, Michał |e verfasserin |4 aut | |
| 700 | 1 | |a Maciel, Rita Suzana Pitangueira |e verfasserin |4 aut | |
| 700 | 1 | |a Czarnecki, Krzysztof |e verfasserin |4 aut | |
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10.1007/s10270-017-0652-3 doi (DE-627)SPR009316124 (SPR)s10270-017-0652-3-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE 54.50 bkl Zayan, Dina verfasserin aut Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. Software engineering (dpeaa)DE-He213 Structural modeling (dpeaa)DE-He213 Empirical study (dpeaa)DE-He213 Example-driven modeling (dpeaa)DE-He213 Sarkar, Atrisha verfasserin aut Antkiewicz, Michał verfasserin aut Maciel, Rita Suzana Pitangueira verfasserin aut Czarnecki, Krzysztof verfasserin aut Enthalten in Software and systems modeling Berlin : Springer, 2002 18(2018), 3 vom: 12. Jan., Seite 2213-2239 (DE-627)355691426 (DE-600)2090971-8 1619-1374 nnns volume:18 year:2018 number:3 day:12 month:01 pages:2213-2239 https://dx.doi.org/10.1007/s10270-017-0652-3 lizenzpflichtig 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 18 2018 3 12 01 2213-2239 |
| spelling |
10.1007/s10270-017-0652-3 doi (DE-627)SPR009316124 (SPR)s10270-017-0652-3-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE 54.50 bkl Zayan, Dina verfasserin aut Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. Software engineering (dpeaa)DE-He213 Structural modeling (dpeaa)DE-He213 Empirical study (dpeaa)DE-He213 Example-driven modeling (dpeaa)DE-He213 Sarkar, Atrisha verfasserin aut Antkiewicz, Michał verfasserin aut Maciel, Rita Suzana Pitangueira verfasserin aut Czarnecki, Krzysztof verfasserin aut Enthalten in Software and systems modeling Berlin : Springer, 2002 18(2018), 3 vom: 12. Jan., Seite 2213-2239 (DE-627)355691426 (DE-600)2090971-8 1619-1374 nnns volume:18 year:2018 number:3 day:12 month:01 pages:2213-2239 https://dx.doi.org/10.1007/s10270-017-0652-3 lizenzpflichtig 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 18 2018 3 12 01 2213-2239 |
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10.1007/s10270-017-0652-3 doi (DE-627)SPR009316124 (SPR)s10270-017-0652-3-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE 54.50 bkl Zayan, Dina verfasserin aut Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. Software engineering (dpeaa)DE-He213 Structural modeling (dpeaa)DE-He213 Empirical study (dpeaa)DE-He213 Example-driven modeling (dpeaa)DE-He213 Sarkar, Atrisha verfasserin aut Antkiewicz, Michał verfasserin aut Maciel, Rita Suzana Pitangueira verfasserin aut Czarnecki, Krzysztof verfasserin aut Enthalten in Software and systems modeling Berlin : Springer, 2002 18(2018), 3 vom: 12. Jan., Seite 2213-2239 (DE-627)355691426 (DE-600)2090971-8 1619-1374 nnns volume:18 year:2018 number:3 day:12 month:01 pages:2213-2239 https://dx.doi.org/10.1007/s10270-017-0652-3 lizenzpflichtig 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 18 2018 3 12 01 2213-2239 |
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10.1007/s10270-017-0652-3 doi (DE-627)SPR009316124 (SPR)s10270-017-0652-3-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE 54.50 bkl Zayan, Dina verfasserin aut Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. Software engineering (dpeaa)DE-He213 Structural modeling (dpeaa)DE-He213 Empirical study (dpeaa)DE-He213 Example-driven modeling (dpeaa)DE-He213 Sarkar, Atrisha verfasserin aut Antkiewicz, Michał verfasserin aut Maciel, Rita Suzana Pitangueira verfasserin aut Czarnecki, Krzysztof verfasserin aut Enthalten in Software and systems modeling Berlin : Springer, 2002 18(2018), 3 vom: 12. Jan., Seite 2213-2239 (DE-627)355691426 (DE-600)2090971-8 1619-1374 nnns volume:18 year:2018 number:3 day:12 month:01 pages:2213-2239 https://dx.doi.org/10.1007/s10270-017-0652-3 lizenzpflichtig 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 18 2018 3 12 01 2213-2239 |
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Zayan, Dina @@aut@@ Sarkar, Atrisha @@aut@@ Antkiewicz, Michał @@aut@@ Maciel, Rita Suzana Pitangueira @@aut@@ Czarnecki, Krzysztof @@aut@@ |
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We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. 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Zayan, Dina |
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Zayan, Dina ddc 004 bkl 54.50 misc Software engineering misc Structural modeling misc Empirical study misc Example-driven modeling Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them |
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004 ASE 54.50 bkl Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them Software engineering (dpeaa)DE-He213 Structural modeling (dpeaa)DE-He213 Empirical study (dpeaa)DE-He213 Example-driven modeling (dpeaa)DE-He213 |
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example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them |
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Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them |
| abstract |
Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. |
| abstractGer |
Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. |
| abstract_unstemmed |
Abstract We present a controlled experiment for the empirical evaluation of example-driven modeling (EDM), an approach that systematically uses examples for model comprehension and domain knowledge transfer. We conducted the experiment with 26 graduate (Masters and Ph.D. level) and undergraduate (Bachelor level) students from electrical and computer engineering, computer science, and software engineering programs at the University of Waterloo. The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide empirical evidence of the effects of suitable examples on model comprehension, compared to having model abstractions only, by having the participants perform model comprehension tasks. Our results show that EDM is superior to having model abstractions only, with an improvement of 39% for diagram completeness, 33% for questions completeness, 71% for efficiency, and a reduction in the number of mistakes by 80%. We provide qualitative results showing that participants receiving model abstractions augmented with examples experienced lower perceived difficulty in performing the comprehension tasks, higher perceived confidence in their tasks’ solutions, and asked 90% fewer clarifying domain questions. We also present participants’ feedback regarding the usefulness of the provided examples, their number and types, as well as the use of partial examples. We present a taxonomy of the different types of examples, explain their significance, and propose guidelines for manual and automatic creation of useful examples. |
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| title_short |
Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them |
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https://dx.doi.org/10.1007/s10270-017-0652-3 |
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Sarkar, Atrisha Antkiewicz, Michał Maciel, Rita Suzana Pitangueira Czarnecki, Krzysztof |
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Sarkar, Atrisha Antkiewicz, Michał Maciel, Rita Suzana Pitangueira Czarnecki, Krzysztof |
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10.1007/s10270-017-0652-3 |
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2024-07-04T01:34:51.991Z |
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| score |
7.402669 |