INFORMATION SYSTEMS IN MANAGEMENT IV

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5. CONCLUSIONSCalculated weighted sums of score evaluations that are placed in table 3 reflectthe place taken in the ranking. Results were rearranged in a form of decreasingsequence and presented in graph 1. On the podium (three first positions) are commercialsolutions. A very high position of ArgoUML tool (fourth place) whichbelongs to the open source category what is connected amongst others with a fulllack of license fees. UMLet took the last position, gaining 5,6 scores what is almostfour times less than the favourite. It can be regarded as a simple graphic programfor drawing UML diagrams.Figure 1. Results of CASE tools ranking.25,024,221,920,620,019,018,417,215,013,2Points10,05,00,0VisualParadigmfor UML(v.6.3)EnterpriseArchitect(v.7.1)Poseidonfor UML(v.6.0.2)open sourceArgoUML(v.0.26)RationalSoftw areArchitect(v.7.5.1)MicrosoftVisio 2007open sourceStarUML(v.5.0.2)open source5,6UMLet(v.9.03)Source: Own preparation.The analysis of ranking results in a form of weighted average evaluations thatare within taken score scale from 0 to 5 scores, there can be made an attempt todivide tools and distinguish their few classes which differ from each other by alevel of functional advance. Near 4,5 scores there are gathered three programs thathold leading places in the ranking. It is a class of over-average solutions directedtowards professionals. Systems that hold following three position in the ranking(ArgoUML, Rational Software Architect and Microsoft Visio 2007) are around 3,5scores and they can be called average solutions which meet general modellingstandards. Below the average evaluation (about 2,5 scores) there is StarUML whichis assigned to good solutions of the open source class. The last and separate group14
is a very simple graphic program UMLet, whose weighted average evaluation isclose to one.Received ranking results are rather subjective, however, they may be a point ofreference for similar analyses. A final choice can be made after testing all of chosenCASE tools. Moreover, all producers of programs placed in the ranking madetheir versions available to be checked.REFERENCES1. Ambler S. (2002), Agile Modeling: Effective Practices for eXtreme Programming andthe Unified Process, Published by John Wiley & Sons, Inc., New York(http://www.agilemodeling.com/practices.htm).2. Bartyzel M. (2008), Ewolucja Agile, Nowoczesne programowanie, Magazyn specjalistówbranży IT, online: „Dzień dobry informatyku”, 04/08(http://ddinformatyku.pl/pdf/04-2008/12.pdf)3. Bednarczyk M., Fazy instalacji i konserwacji, Narzędzia CASE, Wykład pt. „Inżynieriaoprogramowania”, Instytut Matematyki Uniwersytetu Gdańskiego(http://math.univ.gda.pl/~mab/softengine/wyk/w08.pdf).4. Booch G., Jacobson I., Rumbaugh J. (1998), The Unified Software Development Process,Addison-Wesley, Boston 1998.5. Chmielarz W., Wykład pt. „Analiza i projektowanie informatycznych systemów zarządzania”zamieszczony w serwisie internetowym Wydziału Zarządzania UW,(http://www2.wz.uw.edu.pl/ksiz/download/wch/Cale1.pdf).6. Cocburn Alistair A. R. (2001), Crystal light methods, Humans and Technology, fromCutter IT Journal (http:/alistair.cockburn.us/index.php/Crystal_light_methods).7. Davies R. (2004), DSDM explained, Agile Alliance Member, DSDM consortium, Sept21 (http://www.agilexp.com/presentations/DSDMexplained.pdf).8. Dolińska M. (2003), Projektowanie systemów informacyjnych na przykładzie zarządzaniamarketingiem, Wyd. „Placet”, Warszawa.9. Gentleware, Poseidon for UML (http://www.gent1eware.com/products.html).10. Henderson-Sellers B. (2005), What is OPEN? (http://www.open.org.au/, Last Updated:12/5/05)11. IBM, Rational Software Architect Standard Edition (http://www-01.ibm.com).12. IBM, Rational Unified Process, Best Practices for Software Development Teams, RationalSoftware White Paper, TP026B, Rev 11/2001(http://www.ibm.com/developerworks/rational/library/content/03July/1000/1251/1251_bestpractices_TP026B.pdf).13. Jeffries R. (2001), What is Extreme Programming? XProgramming.com, 11/08/01(http://www.xprogramming.com/xpmag/whatisxp.htm).15
Page 1 and 2: WARSAW UNIVERSITY OF LIFE SCIENCES
Page 3 and 4: PREFACEThe role of the various info
Page 5: TABLE OF CONTENTSBECKER J.COMPARATI
Page 8 and 9: 2. THE METHODOLOGY OF THE OBJECT OR
Page 10 and 11: Gentleware [Gentleware, Poseidon…
Page 12 and 13: The first category of the comparati
Page 16 and 17: 14. Kaczmarski K. (2003), Extreme p
Page 18 and 19: Figure 1. Development of controllin
Page 20 and 21: 2. THE CHARACTERISTIC OF CORPORATE
Page 22 and 23: They support formal strategy manage
Page 24 and 25: SAS Strategy Performance Management
Page 26 and 27: 4. CONCLUSIONDespite the fact that
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Page 30 and 31: work required to move and position
Page 32 and 33: Today the information flow within t
Page 34 and 35: ponents, store them, transport them
Page 36 and 37: tions depend on the type of operati
Page 38 and 39: members of the project can easily s
Page 40 and 41: Figure 4 Evolution of ERP.Source: O
Page 42 and 43: ments planning, and the execution s
Page 44 and 45: company to fulfill customer needs),
Page 46 and 47: DATA WAREHOUSE DESIGNWłodzimierz K
Page 48 and 49: In the upper layer local data wareh
Page 50 and 51: In the top-down design data warehou
Page 52 and 53: Processes should form a hierarchy a
Page 54 and 55: Oracle Warehouse Builder (OWB) is a
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Page 58 and 59: a. Primary purpose of operational s
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BUSINESS PROCESS MODELING - METHODS
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The (Rational) Unified Process is o
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was to be designed user-friendly fo
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architects and software engineers t
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THE SELECTION PHASE IN DECISION MAK
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Figure 1. Decision support system f
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decision levels.Most of the transpo
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Figure 4. The fuzzy expert system a
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5. CONCLUSIONSThe proposed system s
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XML namespaces, XML Schema, XQuery,
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SELECT XMLQuery('XQuery' PASSING XM
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Table 2. Results of Example 2.40000
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Table 5. Results of Example 5.40000
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8. XML Feeds of Current Weather Con
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2. STORAGE OF NATIVE XML DATAThere
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• a path index, which indexes the
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tional data is not very difficult i
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One of possibility of integration o
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DATA COMLETNESS ESTIMATION INMANAGE
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tion. Completeness level of a given
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Figure 1. Data volume observed duri
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Table 3. Classification matrix for
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