Knowledge

Metamodeling

Source đź“ť

212: 190: 1517: 47: 201: 1507: 179: 96:; a metamodel is yet another abstraction, highlighting the properties of the model itself. A model conforms to its metamodel in the way that a computer program conforms to the grammar of the programming language in which it is written. Various types of metamodels include polynomial equations, neural networks, 370:
description (constructs and rules) of how a domain-specific model is built. In particular, this comprises a formalized specification of the domain-specific notations. Typically, metamodels are – and always should follow - a strict rule set. "A valid metamodel is an ontology, but not all ontologies
100:, etc. "Metamodeling" is the construction of a collection of "concepts" (things, terms, etc.) within a certain domain. Metamodeling typically involves studying the output and input relationships and then fitting the right metamodels to represent that behavior. 87:
A metamodel/ surrogate model is a model of the model, i.e. a simplified model of an actual model of a circuit, system, or software-like entity. Metamodel can be a mathematical relation or algorithm representing input and output relations. A
362:
by utilizing grammar for using vocabulary. The grammar specifies what it means to be a well-formed statement, assertion, query, etc. (formal constraints) on how terms in the ontology’s controlled vocabulary can be used
62:
is the process of generating such metamodels. Thus metamodeling or meta-modeling is the analysis, construction, and development of the frames, rules, constraints, models, and theories applicable and useful for
680: 658: 451:
A library of similar metamodels has been called a Zoo of metamodels. There are several types of meta-model zoos. Some are expressed in ECore. Others are written in
901: 993: 801: 268: 236:
is an alternative to more common code-based development techniques. A model always conforms to a unique metamodel. One of the currently most active branches of
1553: 1376: 1305: 954: 936: 922: 1199: 1102: 539: 471: 986: 874: 638: 1179: 1046: 1031: 726:; Vol. 2348. Proceedings of the 14th International Conference on Advanced Information Systems Engineering. Pages: 600 – 611, 2001 820: 917:
Gonzalez-Perez, C. and B. Henderson-Sellers, 2008. Metamodelling for Software Engineering. Chichester (UK): Wiley. 210 p. 
518: 768: 434: 1510: 1335: 1262: 1252: 1097: 1026: 205: 1386: 677: 655: 1889: 1520: 1315: 1257: 979: 740: 411: 323: 311: 127:
As a schema for modeling and automatically exploring sentences of a language with applications to automated test synthesis
1325: 1184: 1051: 710: 335: 798: 1247: 1242: 1056: 592: 351: 31: 687:, Invited Talk, Semiconductor Research Corporation (SRC), Texas Analog Center for Excellence (TxACE), 27 April 2012. 130:
As an approximation of a higher-fidelity model for use when reducing time, cost, or computational effort is necessary
1442: 1290: 1285: 1237: 1214: 1194: 561: 294:
for the analysis and construction of models applicable and useful to some predefined class of problems. (see also:
211: 940: 839: 808:", Springer Analog Integrated Circuits and Signal Processing Journal, Volume 79, Issue 3, June 2014, pp. 437–453. 1546: 1447: 1437: 500: 468: 460: 439: 260: 241: 1884: 1591: 1350: 1149: 1132: 1041: 963: 512: 506: 494: 484: 464: 456: 307: 237: 194: 50:
Example of a Geologic map information meta-model, with four types of meta-objects, and their self-references.
1300: 1144: 581: 256: 245: 339: 1843: 1677: 1355: 1112: 1107: 417: 1672: 1174: 1127: 566: 398: 189: 742:
What are the differences between a vocabulary, a taxonomy, a thesaurus, an ontology, and a meta-model?
617:
Digital Mapping Techniques '01 -- Workshop Proceedings U.S. Geological Survey Open-File Report 01-223.
1539: 1472: 1310: 1169: 1159: 1071: 1016: 1002: 665:", IEEE Transactions on Semiconductor Manufacturing (TSM), Vol. 25, No. 1, February 2012, pp. 26–36. 615:
Progress Report on the National Geologic Map Database, Phase 3: An Online Database of Map Information
452: 287: 249: 229: 182: 167: 163: 72: 64: 404:
Executable meta-modeling (combining both of the above and much more, as in the general purpose tool
1492: 1477: 1345: 1209: 1117: 1061: 359: 291: 93: 76: 722:
E. Söderström, et al. (2001) "Towards a Framework for Comparing Process Modelling Languages", in:
709:
International Organization for Standardization / International Electrotechnical Commission, 2007.
1615: 1482: 1122: 545: 1749: 1744: 1396: 1154: 950: 932: 918: 890: 870: 634: 392: 283: 1764: 1581: 1467: 1411: 1189: 1081: 1076: 864: 630: 550: 233: 159: 135: 89: 697: 1833: 1808: 1789: 1709: 1487: 1340: 1320: 1204: 1066: 928: 843: 824: 805: 684: 662: 576: 489: 38: 931:, 2009. Metamodeling for Method Engineering. Cambridge (USA): The MIT Press. 424 p.  67:
a predefined class of problems. As its name implies, this concept applies the notions of
656:
A Comparative Study of Metamodels for Fast and Accurate Simulation of Nano-CMOS Circuits
1828: 1818: 1813: 1803: 1759: 1729: 1692: 1682: 1391: 1295: 1036: 860: 794: 674: 651: 626: 422: 143: 108: 614: 1878: 1779: 1754: 1734: 1724: 1704: 1697: 1687: 1667: 1635: 1620: 1603: 1598: 1576: 1562: 1371: 1139: 965:
On the Conceptualisation of Modelling Methods Using the ADOxx Meta Modelling Platform
817: 571: 535: 295: 272: 68: 968:, Enterprise Modelling and Information Systems Architectures, Vol. 8, Issue 1, 4-25. 909: 1798: 1662: 1640: 1406: 1330: 774: 139: 124:
As a mechanism to create tools that work with a broad class of models at run time
1853: 1848: 1838: 1784: 1739: 1652: 155: 941:
http://conceptbase.sourceforge.net/2021_Metamodeling_for_Method_Engineering.pdf
746: 1858: 1823: 1769: 1657: 1630: 1608: 1416: 1381: 388:
of models (and their corresponding modeling activities) can be distinguished:
354:. Both are often used to describe and analyze the relations between concepts: 147: 799:
Polynomial Metamodel Based Fast Optimization of Nano-CMOS Oscillator Circuits
1863: 1774: 1714: 1586: 200: 151: 46: 1645: 1625: 1164: 863:(2015). "Chapter 12 Metamodel-Based Fast AMS-SoC Design Methodologies". 530: 112: 17: 678:
Ultra-Fast Design Exploration of Nanoscale Circuits through Metamodeling
358:
Ontologies: express something meaningful within a specified universe or
326:(MTLs), some examples of implementations of this standard are AndroMDA, 275:. All the languages presented below could be defined as MOF metamodels. 971: 836: 524: 428: 405: 97: 1021: 818:
Jean-Marie Favre: Towards a Basic Theory to Model Driven Engineering.
586: 331: 327: 121:
As a language to express additional semantics of existing information
1221: 264: 216: 713:. Software Engineering - Metamodel for Development Methodologies. 629:, Chapter 12 Metamodel-Based Fast AMS-SoC Design Methodologies, " 1432: 178: 1535: 975: 887:, Redwood City, CA: Addison Wesley Longman Publishing Co., Inc. 555: 319: 315: 79:. Metamodels are of many types and have diverse applications. 322:
is based on the meta-object facility (MOF). Among many other
134:
Because of the "meta" character of metamodeling, both the
118:
As a language that supports a particular method or process
1531: 154:, and meta-consciousness. The concept can be useful in 914:, Doctoral Thesis, Brno University of Technology. 2006 1569: 1460: 1425: 1364: 1278: 1271: 1230: 1090: 1009: 314:. The OMG has proposed a standard for this called 255:Typical metamodelling specifications proposed by 170:. The latter are the main focus of this article. 30:"Meta model" redirects here. For other uses, see 734: 732: 641:and 0071825711, 1st Edition, McGraw-Hill, 2015. 883:Booch, G., Rumbaugh, J., Jacobson, I. (1999), 770:What is metamodeling, and what is it good for? 1547: 987: 138:and theory of metamodels are of relevance to 8: 698:FEA Records Management Profile, Version 1.0 467:1.2 may be uploaded in Poseidon for UML, a 1554: 1540: 1532: 1275: 994: 980: 972: 271:has also published the standard metamodel 866:Nanoelectronic Mixed-Signal System Design 631:Nanoelectronic Mixed-Signal System Design 115:data that needs to be exchanged or stored 1185:Software development process/methodology 885:The Unified Modeling Language User Guide 435:Piecewise polynomial (spline) metamodels 210: 199: 188: 177: 45: 895:System Design Modeling and Metamodeling 606: 366:Meta-modeling: can be considered as an 92:is an abstraction of phenomena in the 7: 1506: 1200:Software verification and validation 1103:Component-based software engineering 962:Fill, H.-G., Karagiannis, D., 2013. 158:, and has practical applications in 540:computer-aided software engineering 350:Meta-models are closely related to 318:for Queries/Views/Transformations. 248:. This approach is embodied in the 384:For software engineering, several 286:is a type of metamodeling used in 25: 1180:Software configuration management 1047:Search-based software engineering 1032:Experimental software engineering 724:Lecture Notes In Computer Science 556:MOF Queries/Views/Transformations 459:1.2. The metamodels expressed in 1516: 1515: 1505: 103:Common uses for metamodels are: 519:Generic Eclipse Modeling System 27:Concept of software engineering 1027:Empirical software engineering 911:Mambo Metamodeling Environment 897:, Plenum Press, New York, 1991 613:David R. Soller et al. (2001) 538:(tools for creating tools for 324:model transformation languages 312:model transformation languages 1: 927:M.A. Jeusfeld, M. Jarke, and 900:Gopi Bulusu, hamara.in, 2004 412:Model transformation language 1052:Site reliability engineering 1057:Social software engineering 903:Model Driven Transformation 593:XML transformation language 58:is a model of a model, and 32:Meta model (disambiguation) 1906: 1195:Software quality assurance 562:Object Process Methodology 346:Relationship to ontologies 36: 29: 1501: 947:Modèles & MĂ©tamodèles 683:23 September 2015 at the 661:23 September 2015 at the 501:Model-driven architecture 440:Gradient-enhanced kriging 310:is the systematic use of 242:model-driven architecture 1351:Model-driven engineering 1150:Functional specification 1133:Software incompatibility 1042:Requirements engineering 767:Ernst, Johannes (2002), 654:, and Elias Kougianos, " 513:Domain-specific modeling 507:Domain-specific language 495:Model-driven engineering 485:Business reference model 308:model-driven engineering 238:Model Driven Engineering 195:Business reference model 37:Not to be confused with 1145:Enterprise architecture 823:15 October 2006 at the 739:Pidcock, Woody (2003), 582:Transformation language 1356:Round-trip engineering 1113:Backward compatibility 1108:Software compatibility 804:10 August 2014 at the 797:and Elias Kougianos, " 527:(Kernel Meta-modeling) 306:One important move in 240:is the approach named 220: 208: 197: 186: 51: 1175:Software architecture 1128:Forward compatibility 842:29 April 2006 at the 567:Requirements analysis 418:Polynomial metamodels 399:Meta-process modeling 340:ManyDesigns Portofino 302:Model transformations 252:(MOF) specification. 214: 203: 192: 181: 49: 1890:Scientific modelling 1473:Computer engineering 1170:Software archaeology 1160:Programming paradigm 1072:Software maintenance 1017:Computer programming 1003:Software engineering 700:. December 15, 2005. 288:software engineering 250:Meta Object Facility 230:software engineering 183:Meta-Object Facility 168:software engineering 164:computer engineering 73:software engineering 1570:Domains and methods 1493:Systems engineering 1478:Information science 1258:Service orientation 1210:Structured analysis 1118:Compatibility layer 1062:Software deployment 401:(MetaProcess model) 380:Types of metamodels 360:domain of discourse 292:systems engineering 77:systems engineering 1616:Meta-communication 1483:Project management 1248:Object orientation 1215:Essential analysis 1123:Compatibility mode 939:, Open access via 749:on 14 October 2009 546:Method engineering 447:Zoos of metamodels 221: 209: 198: 187: 52: 1872: 1871: 1750:Meta-organization 1745:Meta-optimization 1529: 1528: 1456: 1455: 1397:Information model 1301:Incremental model 1155:Modeling language 955:978-2-88074-749-7 937:978-0-262-10108-0 923:978-0-470-03036-3 777:on 9 October 2011 650:Oleg Garitselov, 393:Metadata modeling 284:Metadata modeling 279:Metadata modeling 16:(Redirected from 1897: 1765:Metaepistemology 1582:Metabibliography 1556: 1549: 1542: 1533: 1519: 1518: 1509: 1508: 1468:Computer science 1276: 1190:Software quality 1082:Systems analysis 1077:Software testing 996: 989: 982: 973: 959: 880: 847: 834: 828: 815: 809: 792: 786: 785: 784: 782: 773:, archived from 764: 758: 757: 756: 754: 745:, archived from 736: 727: 720: 714: 707: 701: 694: 688: 672: 666: 648: 642: 624: 618: 611: 551:MODAF Meta-Model 395:(MetaData model) 160:computer science 71:and modeling in 21: 1905: 1904: 1900: 1899: 1898: 1896: 1895: 1894: 1885:Software design 1875: 1874: 1873: 1868: 1834:Meta-regulation 1809:Metaprogramming 1790:Metametaphysics 1710:Metamathematics 1565: 1560: 1530: 1525: 1497: 1488:Risk management 1452: 1421: 1360: 1341:Waterfall model 1311:Prototype model 1306:Iterative model 1267: 1243:Aspect-oriented 1226: 1205:Software system 1086: 1067:Software design 1005: 1000: 957: 891:J. P. van Gigch 877: 869:. McGraw-Hill. 859: 856: 854:Further reading 851: 850: 844:Wayback Machine 835: 831: 825:Wayback Machine 816: 812: 806:Wayback Machine 793: 789: 780: 778: 766: 765: 761: 752: 750: 738: 737: 730: 721: 717: 708: 704: 695: 691: 685:Wayback Machine 673: 669: 663:Wayback Machine 649: 645: 625: 621: 612: 608: 603: 598: 577:Surrogate model 490:Data governance 480: 449: 382: 375:as metamodels." 348: 304: 281: 267:, SPEM or CWM. 226: 176: 85: 42: 39:Surrogate model 35: 28: 23: 22: 15: 12: 11: 5: 1903: 1901: 1893: 1892: 1887: 1877: 1876: 1870: 1869: 1867: 1866: 1861: 1856: 1851: 1846: 1841: 1836: 1831: 1829:Meta-reference 1826: 1821: 1819:Metapsychology 1816: 1814:Metapsychiatry 1811: 1806: 1804:Metapopulation 1801: 1796: 1795: 1794: 1793: 1792: 1782: 1777: 1772: 1767: 1760:Metaphilosophy 1757: 1752: 1747: 1742: 1737: 1732: 1730:Metamotivation 1727: 1722: 1717: 1712: 1707: 1702: 1701: 1700: 1695: 1693:Metapragmatics 1685: 1683:Meta-knowledge 1680: 1675: 1670: 1665: 1660: 1655: 1650: 1649: 1648: 1638: 1633: 1628: 1623: 1618: 1613: 1612: 1611: 1606: 1596: 1595: 1594: 1584: 1579: 1573: 1571: 1567: 1566: 1561: 1559: 1558: 1551: 1544: 1536: 1527: 1526: 1524: 1523: 1513: 1502: 1499: 1498: 1496: 1495: 1490: 1485: 1480: 1475: 1470: 1464: 1462: 1461:Related fields 1458: 1457: 1454: 1453: 1451: 1450: 1445: 1440: 1435: 1429: 1427: 1423: 1422: 1420: 1419: 1414: 1409: 1404: 1399: 1394: 1392:Function model 1389: 1384: 1379: 1374: 1368: 1366: 1362: 1361: 1359: 1358: 1353: 1348: 1343: 1338: 1333: 1328: 1323: 1318: 1313: 1308: 1303: 1298: 1296:Executable UML 1293: 1288: 1282: 1280: 1273: 1269: 1268: 1266: 1265: 1260: 1255: 1250: 1245: 1240: 1234: 1232: 1228: 1227: 1225: 1224: 1219: 1218: 1217: 1207: 1202: 1197: 1192: 1187: 1182: 1177: 1172: 1167: 1162: 1157: 1152: 1147: 1142: 1137: 1136: 1135: 1130: 1125: 1120: 1115: 1105: 1100: 1094: 1092: 1088: 1087: 1085: 1084: 1079: 1074: 1069: 1064: 1059: 1054: 1049: 1044: 1039: 1037:Formal methods 1034: 1029: 1024: 1019: 1013: 1011: 1007: 1006: 1001: 999: 998: 991: 984: 976: 970: 969: 960: 943: 925: 915: 908:P. C. Smolik, 906: 898: 888: 881: 876:978-0071825719 875: 861:Saraju Mohanty 855: 852: 849: 848: 829: 810: 795:Saraju Mohanty 787: 759: 728: 715: 702: 689: 675:Saraju Mohanty 667: 652:Saraju Mohanty 643: 639:978-0071825719 627:Saraju Mohanty 619: 605: 604: 602: 599: 597: 596: 590: 584: 579: 574: 569: 564: 559: 553: 548: 543: 533: 528: 522: 516: 510: 504: 498: 492: 487: 481: 479: 476: 448: 445: 444: 443: 437: 432: 426: 423:Neural network 420: 415: 409: 402: 396: 381: 378: 377: 376: 364: 347: 344: 303: 300: 280: 277: 225: 222: 204:Example of an 175: 172: 144:metaphilosophy 132: 131: 128: 125: 122: 119: 116: 84: 81: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 1902: 1891: 1888: 1886: 1883: 1882: 1880: 1865: 1862: 1860: 1857: 1855: 1852: 1850: 1847: 1845: 1844:Metasociology 1842: 1840: 1837: 1835: 1832: 1830: 1827: 1825: 1822: 1820: 1817: 1815: 1812: 1810: 1807: 1805: 1802: 1800: 1797: 1791: 1788: 1787: 1786: 1783: 1781: 1780:Meta-ontology 1778: 1776: 1773: 1771: 1768: 1766: 1763: 1762: 1761: 1758: 1756: 1755:Metaphenomics 1753: 1751: 1748: 1746: 1743: 1741: 1738: 1736: 1735:Metanarrative 1733: 1731: 1728: 1726: 1725:Metamodernism 1723: 1721: 1718: 1716: 1713: 1711: 1708: 1706: 1705:Metamaterials 1703: 1699: 1698:Metasemantics 1696: 1694: 1691: 1690: 1689: 1688:Meta-language 1686: 1684: 1681: 1679: 1676: 1674: 1671: 1669: 1668:Metaheuristic 1666: 1664: 1661: 1659: 1656: 1654: 1651: 1647: 1644: 1643: 1642: 1639: 1637: 1636:Metadiscourse 1634: 1632: 1629: 1627: 1624: 1622: 1621:Metacomputing 1619: 1617: 1614: 1610: 1607: 1605: 1604:Meta-learning 1602: 1601: 1600: 1599:Metacognition 1597: 1593: 1590: 1589: 1588: 1585: 1583: 1580: 1578: 1577:Meta-analysis 1575: 1574: 1572: 1568: 1564: 1557: 1552: 1550: 1545: 1543: 1538: 1537: 1534: 1522: 1514: 1512: 1504: 1503: 1500: 1494: 1491: 1489: 1486: 1484: 1481: 1479: 1476: 1474: 1471: 1469: 1466: 1465: 1463: 1459: 1449: 1446: 1444: 1441: 1439: 1436: 1434: 1431: 1430: 1428: 1424: 1418: 1415: 1413: 1412:Systems model 1410: 1408: 1405: 1403: 1400: 1398: 1395: 1393: 1390: 1388: 1385: 1383: 1380: 1378: 1375: 1373: 1370: 1369: 1367: 1363: 1357: 1354: 1352: 1349: 1347: 1344: 1342: 1339: 1337: 1334: 1332: 1329: 1327: 1324: 1322: 1319: 1317: 1314: 1312: 1309: 1307: 1304: 1302: 1299: 1297: 1294: 1292: 1289: 1287: 1284: 1283: 1281: 1279:Developmental 1277: 1274: 1270: 1264: 1261: 1259: 1256: 1254: 1251: 1249: 1246: 1244: 1241: 1239: 1236: 1235: 1233: 1229: 1223: 1220: 1216: 1213: 1212: 1211: 1208: 1206: 1203: 1201: 1198: 1196: 1193: 1191: 1188: 1186: 1183: 1181: 1178: 1176: 1173: 1171: 1168: 1166: 1163: 1161: 1158: 1156: 1153: 1151: 1148: 1146: 1143: 1141: 1140:Data modeling 1138: 1134: 1131: 1129: 1126: 1124: 1121: 1119: 1116: 1114: 1111: 1110: 1109: 1106: 1104: 1101: 1099: 1096: 1095: 1093: 1089: 1083: 1080: 1078: 1075: 1073: 1070: 1068: 1065: 1063: 1060: 1058: 1055: 1053: 1050: 1048: 1045: 1043: 1040: 1038: 1035: 1033: 1030: 1028: 1025: 1023: 1020: 1018: 1015: 1014: 1012: 1008: 1004: 997: 992: 990: 985: 983: 978: 977: 974: 967: 966: 961: 956: 952: 948: 944: 942: 938: 934: 930: 929:J. Mylopoulos 926: 924: 920: 916: 913: 912: 907: 905: 904: 899: 896: 892: 889: 886: 882: 878: 872: 868: 867: 862: 858: 857: 853: 845: 841: 838: 833: 830: 826: 822: 819: 814: 811: 807: 803: 800: 796: 791: 788: 776: 772: 771: 763: 760: 748: 744: 743: 735: 733: 729: 725: 719: 716: 712: 711:ISO/IEC 24744 706: 703: 699: 693: 690: 686: 682: 679: 676: 671: 668: 664: 660: 657: 653: 647: 644: 640: 636: 632: 628: 623: 620: 616: 610: 607: 600: 594: 591: 588: 585: 583: 580: 578: 575: 573: 572:Space mapping 570: 568: 565: 563: 560: 557: 554: 552: 549: 547: 544: 541: 537: 536:MetaCASE tool 534: 532: 529: 526: 523: 520: 517: 514: 511: 508: 505: 502: 499: 496: 493: 491: 488: 486: 483: 482: 477: 475: 473: 470: 466: 462: 458: 454: 446: 441: 438: 436: 433: 430: 427: 424: 421: 419: 416: 413: 410: 407: 403: 400: 397: 394: 391: 390: 389: 387: 379: 374: 369: 365: 361: 357: 356: 355: 353: 345: 343: 341: 337: 333: 329: 325: 321: 317: 313: 309: 301: 299: 297: 296:data modeling 293: 289: 285: 278: 276: 274: 273:ISO/IEC 24744 270: 266: 262: 258: 253: 251: 247: 243: 239: 235: 232:, the use of 231: 223: 218: 213: 207: 202: 196: 191: 184: 180: 173: 171: 169: 165: 161: 157: 153: 149: 145: 141: 137: 129: 126: 123: 120: 117: 114: 110: 106: 105: 104: 101: 99: 95: 91: 82: 80: 78: 74: 70: 66: 61: 57: 48: 44: 40: 33: 19: 1799:Metapolitics 1720:Metamodeling 1719: 1663:Metagenomics 1641:Meta-emotion 1592:Semantic Web 1407:Object model 1402:Metamodeling 1401: 1331:Spiral model 1231:Orientations 964: 949:, 2008 - 946: 910: 902: 894: 884: 865: 832: 813: 790: 779:, retrieved 775:the original 769: 762: 751:, retrieved 747:the original 741: 723: 718: 705: 692: 670: 646: 622: 609: 450: 385: 383: 372: 371:are modeled 367: 349: 305: 282: 254: 244:proposed by 227: 185:Illustration 148:metatheories 133: 102: 86: 60:metamodeling 59: 55: 53: 43: 1854:Metatheorem 1849:Meta-system 1839:Metascience 1785:Metaphysics 1740:Meta-object 1673:Metahistory 1653:Metafiction 1098:Abstraction 958:(in French) 837:AtlanticZoo 696:FEA (2005) 414:(see below) 156:mathematics 140:metascience 1879:Categories 1859:Metatheory 1824:Metapuzzle 1770:Metaethics 1658:Metagaming 1631:Metadesign 1609:Metamemory 1417:View model 1382:Data model 945:G. Caplat 753:10 October 601:References 431:metamodels 425:metamodels 373:explicitly 352:ontologies 224:Definition 94:real world 1864:Metaverse 1775:Metalogic 1715:Metamedia 1678:Metahumor 1587:Metaclass 1426:Languages 781:9 October 558:(MOF QVT) 363:together. 219:metamodel 193:A US FEA 152:systemics 56:metamodel 18:Metamodel 1646:Metamood 1626:Metadata 1521:Category 1387:ER model 1253:Ontology 1165:Software 1091:Concepts 840:Archived 821:Archived 802:Archived 681:Archived 659:Archived 595:(XML TL) 589:(Viatra) 531:Metadata 478:See also 368:explicit 206:ontology 113:semantic 83:Overview 65:modeling 1511:Commons 1336:V-model 525:Kermeta 429:Kriging 406:Kermeta 98:Kriging 1272:Models 1022:DevOps 1010:Fields 953:  935:  921:  873:  637:  587:VIATRA 542:tools) 521:(GEMS) 474:tool. 455:1.4 – 332:Tefkat 328:VIATRA 234:models 174:Topics 136:praxis 109:schema 1563:Meta- 1448:SysML 1372:SPICE 1365:Other 1326:Scrum 1286:Agile 1238:Agile 1222:CI/CD 515:(DSM) 509:(DSL) 503:(MDA) 497:(MDE) 442:(GEK) 386:types 265:SysML 217:DoDAF 107:As a 90:model 69:meta- 1433:IDEF 1377:CMMI 1263:SDLC 951:ISBN 933:ISBN 919:ISBN 871:ISBN 783:2009 755:2009 635:ISBN 472:CASE 290:and 259:are 162:and 150:and 111:for 75:and 1443:USL 1438:UML 1316:RAD 1291:EUP 633:", 469:UML 465:XMI 461:UML 457:XMI 453:MOF 320:QVT 316:QVT 298:). 269:ISO 261:UML 257:OMG 246:OMG 228:In 1881:: 1346:XP 1321:UP 893:, 731:^ 342:. 338:, 336:MT 334:, 330:, 263:, 215:A 146:, 142:, 54:A 1555:e 1548:t 1541:v 995:e 988:t 981:v 879:. 846:. 827:. 463:- 408:) 166:/ 41:. 34:. 20:)

Index

Metamodel
Meta model (disambiguation)
Surrogate model

modeling
meta-
software engineering
systems engineering
model
real world
Kriging
schema
semantic
praxis
metascience
metaphilosophy
metatheories
systemics
mathematics
computer science
computer engineering
software engineering

Meta-Object Facility

Business reference model

ontology

DoDAF

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.

↑