4 Pages

assgiment 4

Course: ASHARM 463, Fall 2009
School: Illinois State
Rating:
 
 
 
 
 

Word Count: 424

Document Preview

4 Assignment ITK 463 Abhilasha Sharma 02/23/04 Activity 4 Project/Application Function Point Calculation Worksheet Project A/Problem # 1 May want to use pencil to record your answers. Function Types Internal Logical Files #s Complexity Weights Complexity Totals Function Type Totals __1_ Low x 7 = __7______ __0___ Average x 10 = __0______ __0___ High x 15 = __0______ ______7_____ __0___ Low x 5 = ____0____...

Register Now

Unformatted Document Excerpt

Coursehero >> Illinois >> Illinois State >> ASHARM 463

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
4 Assignment ITK 463 Abhilasha Sharma 02/23/04 Activity 4 Project/Application Function Point Calculation Worksheet Project A/Problem # 1 May want to use pencil to record your answers. Function Types Internal Logical Files #s Complexity Weights Complexity Totals Function Type Totals __1_ Low x 7 = __7______ __0___ Average x 10 = __0______ __0___ High x 15 = __0______ ______7_____ __0___ Low x 5 = ____0____ __0___ Average x 7 = __0______ _0____ High x 10 = __0______ _____0_______ __1___ Low x 3 = ____3____ ___0__ Average x 4 = ___0____ __0___ High x 6 = ___0____ ____3________ __2___ Low x 4 = ___8_____ __0___ Average x 5 = ___0_____ _0___ High x 7 = ____0____ _____8_______ __1___ Low x 3 = ____3____ __0___ Average x 4 = ____0____ __0___ High x 6 = ____0____ _____3_______ UFP = _____21_______ External Interface Files External Inputs External Outputs External Inquiries Total Unadjusted Function Points Total Degrees of Influence Calculation: TDI = __14 * 2 = 28____ Value Adjustment Factor VAF = 0.65 + (0.01 x ___28____ ) = _____0.93________ TDI VAF Calculation: Adjusted Function Point Count AFP = __21_____ x ___0.93_____ = __19.53______ UFP VAF AFP Project/Application Function Point Calculation Worksheet Project B & App B00/Prob# 2-May want to use pencil to record your answers. 1 Assignment 4 ITK 463 Abhilasha Sharma 02/23/04 Function Types Internal Logical Files #s Complexity Complexity Function Weights Totals Type Totals _0____ Low x 7 = ___0_____ __0___ Average x 10 = __0______ __1___ High x 15 = __15______ ____15_______ __0___ Low x 5 = ___0_____ __0___ Average x 7 = __0______ _1____ High x 10 = __10______ _____10_______ __1___ Low x 3 = ___3_____ ___2__ Average x 4 = ___8_____ ___0__ High x 6 = ___0_____ ______11______ __1___ Low x 4 = ___4_____ __0___ Average x 5 = ___0_____ _0____ High x 7 = ___0_____ ______4______ ___1__ Low x 3 = ____3____ ___0__ Average x 4 = ___0_____ __0___ High x 6 = ___0_____ ______3______ UFP = TDI = _____43_______ __7*2 + 7* 4 = 42____ External Interface Files External Inputs External Outputs External Inquiries Total Unadjusted Function Points Total Degrees of Influence Calculation: Value Adjustment Factor VAF = 0.65 + (0.01 x __42_____ ) = ___1.07__________ TDI VAF Calculation: Adjusted Function Point Count AFP = ___43_____ x __1.07_____ = ___46.01___ UFP VAF AFP This is also the AFP Application for B00 at this time. Project/Application Function Point Calculation Worksheet 2 Assignment 4 ITK 463 Abhilasha Sharma 02/23/04 Project B1/Problem # 3 - May want to use pencil to record your answers. Function Types Internal Logical Files #s Complexity Complexity Function Weights Totals Type Totals __0___ Low x 7 = ___0_____ __0___ Average x 10 = __0______ _0____ High x 15 = __0______ ____0_______ _0____ Low x 5 = ___0_____ _0___ Average x 7 = ___0_____ _0____ High x 10 = __0______ _____0_______ __1___ Low x 3 = ___1_____ _0____ Average x 4 = __0______ _0____ High x 6 = __0______ _____3_______ _0____ Low x 4 = ___0_____ _1____ Average x 5 = ___5_____ _0____ High x 7 = ___0_____ ______5______ __0___ Low x 3 = ___0_____ __0___ Average x 4 = __0______ _0____ High x 6 = __0______ ______0______ UFP = TDI = _____8_______ ___7 * 2 + 7 * 4 = 42 External Interface Files External Inputs External Outputs External Inquiries Total Unadjusted Function Points Total Degrees of Influence Calculation: Value Adjustment Factor VAF = 0.65 + (0.01 x ___42____ ) = ___1.07__________ TDI VAF Calculation: Adjusted Function Point Count AFP = ___8_____ x _1.07____ = ___8.56________ UFP VAF AFP Project/Application Function Point Calculation Worksheet App B01/Problem # 4 May want to use a pencil to record your answers. 3 Assignment 4 ITK 463 Abhilasha Sharma 02/23/04 Function Types Internal Logical Files #s ...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Syracuse - CSE - 776
AbstractFactoryPatternJimFawcett Su2001IntentProvideaninterfaceforcreatingfamiliesofrelatedordepen dentobjectswithoutspecifyingtheirconcreteclasses. provideasimplecreationalinterfaceforacomplexfamilyofclasses Clientdoesnothavetoknowanyofthose
Syracuse - CSE - 776
Bridge PatternJim Fawcett CSE776 Design Patterns Summer 2006 Intent"Decouple an abstraction from its implementation so that the two can vary independently." Multiple Dependent Implementations. Single Independent Interface. Motiv
Syracuse - CSE - 776
Abstract Factory PatternJim Fawcett, 20 May 2009 1. What is a creational pattern? a. CP abstracts the instantiation process, making system independent of how its objects are created, composed, and represented. 2. Why are CPs important? a. Large sys
Syracuse - CSE - 776
Data PatternsPhilip Teale, Microsoft Prescriptive Architecture Guidance Christopher Etz, Simple Fact Michael Kiel, Simple Fact Carsten Zeitz, Simple FactInformation in this document, including URL and other Internet Web site references, is subject
Syracuse - CSE - 776
%!PS-Adobe-3.0 %BoundingBox: (atend) %Pages: (atend) %PageOrder: (atend) %DocumentFonts: (atend) %Creator: Frame 4.0 %DocumentData: Clean7Bit %EndComments %BeginProlog % % Frame ps_prolog 4.0, for use with Frame 4.0 products % This ps_prolog file is
Syracuse - CSE - 776
ch01.qxd9/20/0012:45 PMPage 1ONEIntroductionSo you want to become a software architect? Or perhaps you are already a software architect, and you want to expand your knowledge of the discipline? This is a book about achieving and mai
N.E. Illinois - FIN - 3770
EASTERN ILLINOIS UNIVERSITY FIN 3770Name: _ Folder: _ (5 bonus points) Your honest answers are appreciated. Completion of this form is voluntary and your answers will not impact your grade other than you will receive five bonus points if you choo
Rose-Hulman - CHEM - 251
General FormulaR CH2 H R CH C H2Common Functional Groups in Organic Molecules General Name Name Formula Alkane Alkene AlkyneO R C H O R C R O R C OH O R C O RAldehyde Ketone Carboxylic acidR C CHRAromaticEsterR NH2 R R NH R R N RO1
Rose-Hulman - CHEM - 251
CHEM 251 Problem Set #1 Due date: Monday, September 6, 2007Fall, 2007Dr. BrandtQuestions: 1a. Draw the most likely Lewis structure for formic acid (CO2H2). 1b. Can you draw a structure where all of the atoms in formic acid have octets? Why? 2a.
Rose-Hulman - CHEM - 251
CHEM 251 Problem Set #11 Due date: Tuesday, October 30, 2007 Questions:Fall, 2007Dr. Brandt1. Draw the products that would be formed. a. 2-bromo-3-methylbutane heated with potassium ethoxide in ethanol. b. 2-bromo-3-methylbutane heated with pot
Syracuse - CSE - 776
Abstract Factory Pattern
New Mexico - CS - 591
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUEA Hierarchical Markov Random Field Model and Multi-Temperature Annealing for Parallel Image ClassificationZoltan KATO Marc BERTHOD Josiane ZERUBIAN 1938-version 2Ao^ t 1993, versio
New Mexico - CS - 591
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: fm_final.dvi %Pages: 38 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %DocumentFonts: Helvetica Helvetica-Bold Times-Roman %EndComments %DVIPSWebPage: (www.radicaleye.c
New Mexico - CS - 591
New Mexico - CS - 591
Keeping the Wires Short: A Singularly Difficult ProblemIt is commonly thought that cortical maps are a solution to an optimization problem in which the length of axons required to make the necessary connections between cells is kept to a minimum (Co
New Mexico - CS - 591
To: cschat@cs.unm.eduSubject: My long-winded explanation of Kitaoka's illusion.-text follows this line-A problem is said to be ill-posed if it cannot be solved except byintroducing additional assumptions. The ability which we call Visioninvolve
New Mexico - CS - 591
New Mexico - CS - 591
Natural image statistics and e cient codingB A Olshausen and D J FieldDepartment of Psychology, Uris Hall, Cornell University, Ithaca, New York 14853. Email: bao1@cornell.edu, djf3@cornell.edu To appear in the proceedings of the Workshop on Informa
New Mexico - CS - 591
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: sol.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips -o sol.ps sol %DVIPSParameters
Air Force Academy - DUL - 381
Survey 10Survey 11Survey 12Survey 13Survey 14Survey 15Survey 16Question1a 1b 2a 2b 2c 2d 2e 3 4 5a 5b 5c 6a 6b 6c 7 8 9a 9b 9c 9d 9e 10a 10b 10c 11a 11b 11c 11d 11e 11f 11g 12a 12b 12c 12d 13a 13b 13c 13e 13f 14 15a 15b 15c 15d 16 17a
Minnesota - HANS - 2705
OperationPRIMARY EDUCATION FOR ALLLocation: IRAQFrom the Desk of:Katelynn Hanson Becky Onstad Andrew Brown Trevor Jakubek
Minnesota - HANS - 2705
OperationPRIMARY EDUCATION FOR ALLIRAQFrom the Desk of: Katelynn Hanson, Becky Onstad, Trevor Jakubek, Andrew Brown
Syracuse - CSE - 776
Handouts/CSE776/Presentations/Bridge /BridgePatternCode/ProductionBridge
Syracuse - CSE - 776
NonRecursiveGraphDFSwithMemento
Syracuse - CSE - 776
Output of Memento DemosOutput of Memento Demos
Wisconsin - STAT - 371
Quoc TranB248D MSCtran@stat.wisc.eduSTAT 371Discussion #3September 26, 20061. Permutation and combination laws For a set of size n and a sample of size r,there are nr different ordered samples with replacement and n(n - 1) (n - r + 1)
Wisconsin - STAT - 371
Quoc TranB248D MSCtran@stat.wisc.eduSTAT 3711. Standard Error of the MeanDiscussion #5October 17, 2006 We know that SD of the sampling distribution of the sample mean y can be computed by this formula. Y = n But if we only observe s
Wisconsin - STAT - 371
weight diet81161919216221211218215310317363
Wisconsin - STAT - 224
Quizzes Section 331 331 331 331 331 331 331 331 331 331 331 331 331 331 331 331 331 331 331 331 331 332 332 332 332 332 332 332 332 332 332 332 332 332 332 332 332 332 332 332 332 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 33
Wisconsin - STAT - 224
Wisconsin - STAT - 224
Quizzes LowLow Total Section 1 2 3 4 5 6 7 8 9 10 11 12 1 2 Quiz 331 8 8 8 10 4 10 3 8 7 3 4 59 331 9 9 8 9 6 8 9 4 7 4 6 59 331 9 9 10 10 5 7 10 9 7 5 7 64 331 9 4 4 7 4 5 5 6 5 4 4 41 331 5 10 6 10 6 6 3 6 8 3 5 52 331 6 6 6 7 4 6 0 0 4 31 331 10 1
Wisconsin - STAT - 224
Wisconsin - STAT - 224
Quizzes Section 1 2 3 4 5 6 7 8 9 331 8 8 8 10 4 10 3 8 7 331 9 9 8 9 6 8 9 4 7 331 9 9 10 10 5 7 10 9 7 331 9 4 4 7 4 5 5 6 5 331 5 10 6 10 6 6 3 6 8 331 6 6 6 7 4 6 0 0 0 331 10 10 10 10 7 10 9 6 9 331 2 9 6 9 5 6 6 7 5 331 6 8 8 10 3 5 2 7 9 331 7
Wisconsin - STAT - 309
Wisconsin - STAT - 309
Wisconsin - STAT - 309
Quoc TranStat 3091/3HW5 Solutions49. Gamma function a) Show that 1 =1 0 0 1 = u1-1 e-u du= e-u du=[-e-u ]0 =1-e-=1 b) Show that x1 =x x x1 = u0 0 x1-1 -ue du= u x e-u du0 0 0Let s =u x , dt =e-u du then ds=xu x
Wisconsin - STAT - 371
EC9Statistics 3711/2Extra Credit 9 Stats 37111.23 a) Verify grand mean: n x n x n x n x n x 835.291025.051264.51974.24733.58 x .= 1 1. 2 2. 3 3. 4 4. 5 5. = = n1 n2n3 n4 n5 831021269773 2195.05 = =4.5635144.56 481 b) Age distribution amo
Wisconsin - STAT - 371
Statistics 371-001 Home Work 67.83 a) Let population 1 be singly-housed and 2 be group-housed. Hypotheses H 0 : There is no difference in benzo(a)pyrene concentrations between singly-housed and grouphoused mice. H A : Benzo(a)pyrene concentrations t
Wisconsin - STAT - 371
Homework 8 Stat 37111.2 a) Compute SS(between), SS(within) Grand mean: 232925.2319 240 = =20 n1n2n3 12 12 Another way to find grand mean is: y .= =y .= i=1 j=1 y iji=1 ni y i. n1n2n3IIni=I425315519 240 = =20 435 12SS between=i=1 n
Wisconsin - STAT - 371
7. a. (9pts) A paired design would be best to examin the effects of the pest control procedures on vine productivity since: i. Pairing minizes unit variation. Members of a pair are similar to each other w.r.t. extraneous variables. Hence our comparis
Maryland - ECON - 424
Sheet1SessionClass IDTeam Member?Project 1 (5)Project 1 comments115Excellent work! The histograms might be a little easier to read if you used bin width/definitions with just one decimal place. Also - the amazon histogram is missing
Maryland - ECON - 424
roll a die outcome 1 2 3 4 5 6 E(x) prob x*prob(x) x-E(x) 0.17 0.17 0.17 0.33 0.17 0.5 0.17 0.67 0.17 0.83 0.17 1 3.5 (x-E(x)^2 -2.5 6.25 -1.5 2.25 -0.5 0.25 0.5 0.25 1.5 2.25 2.5 6.25(x-E(x)^2*prob(x) 1.04 0.38 0.04 0.04 0.38 1.04 2.92 var 1.71 st
Maryland - ECON - 424
Year YEAR 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997School Name (State) NAME Princeton University (NJ) Harvard University (MA) Yale University (CT) Duke University (NC) Stanford University (CA) Massachusett
Maryland - ECON - 424
Proj2 Class ID Proj1 score Proj1 comments Proj2 score comments Because you were collecting the same information from two locations, you should have plotted the relative frequency to compare the cost of 1 4.5 books. You did not include trimmed mean, w
Maryland - ECON - 424
First class questionnaire for Econ424, Fall 2007 This ANNOYMOUS questionnaire asks questions about your facebook experience and basic demographic information. We will share answers within the class. 1. 2. 3. 4. 5. 6. Your gender (Male or Female) __ Y
Maryland - ECON - 424
Econ 424 Handout A comprehensive example of SAS programming/* Background:-*\ This program uses LA county restaurant data to test if LA county/city regulation on restaurant hygiene grade card has any effect on restaurant quality and revenue; Unit of
Maryland - ECON - 424
YearSchool Name (State)Overall ScoreAcademic Reputation Score (4.0=Highest)Acceptance RateYEARNAMESCORE REPUTATIONACCEPT_RATE1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 19
Maryland - ECON - 424
suppose you are a marketing manager of a store every day there are 15 customers walking in your store every customer has a probablity 0.4 to make a sale simulate the number of sales that would occur in your store within a da simulate this for 100 day
Maryland - ECON - 424
unitidcol_name tuition90 tuition91 public 243179 UNIVERSITY OF PUERTO RICO HUMACAO UNIVERSITY COL 868.02 3207.81 228653 UNIVERSITY OF TEXAS MEDICAL BRANCH AT GALVESTON 2742.36 7483.37 159373 LOUISIANA STATE UNIVERSITY MEDICAL CENTER 3452.99 4903.77
Maryland - ECON - 424
# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26SID 222708580 214158134 013009365 219414605 220980087 217084387 219048788 220940803 218981859 049808815 216961581 577313931 580131998 523297083 364905474 579043461 148747979 2190
Maryland - ECON - 424
As of Jan 1998 Year Printer Cardnum Player N11984 1982 1984 1984 1984 1982 1984 1984 1982 1982 1986 1980 1983 1984 1988 1992 1983 1983 1990 1987 1990 1983 1983 1992 1989 1992 1987 1987 1990 1991 1994 1949 1961 1952 1957 1952 1963 1953 1954 1954 195
Maryland - ECON - 424
Introduction to Econ424Fall 2005 Ginger Z. Jin"There are three kinds of lies lies, damned lies and statistics."- (?) Mark Twain Winston Churchill Benjamin DisraeliExamples of statistical manipulation Executives at XYZ Corporation make an a
Maryland - ECON - 424
Notes for SAS programmingEcon424 Fall 2006Why SAS? Able to process large data set(s) Easy to cope with multiple variables Able to track all the operations on the data set(s) Generate systematic output Summary statistics Graphs Regression re
Maryland - ECON - 424
Econ 424 Handout A comprehensive example of SAS programming/* Background:-*\ This program uses LA county restaurant data to test if LA county/city regulation on restaurant hygiene grade card has any effect on restaurant quality; Unit of observation
Maryland - ECON - 424
Econ 424 Fall 2004 Midterm ExamName: _ Student ID: _ Student ID: _Econ 424 Fall 2004 Midterm ExamThis is an open book exam, you can consult any paper or electronic material, but you must complete the exam independently. This exam has 5 pages and
Maryland - ECON - 424
simulate raw data # of samples = 100 # of obs per sample = 50, 100, 200 population: uniform (4,10) 1 7.25 8.89 7.63 7.93 4.28 6.38 6.48 7.69 7.63 7.78 6.14 6.83 4.31 5.73 6.81 4.2 4.08 4.86 2 8.23 7.04 8.88 9.57 4.98 9.31 8.9 6.32 9.58 9.53 5.78 4.4
Maryland - ECON - 664
THE ROLE OF INFORMATION IN U.S. OFFSHORE OIL AND GAS LEASE AUCTIONSby Robert H. PorterPorter 1995 Econometrica- Auction Info Tracts in the Gulf of Mexico (from 3 miles up to 200 miles from the coast) Auctions held from 1954 As of 1995: 12%
Maryland - ECON - 424
Student ID 21130751 616421358 617686057 620977563 618196363 373953399 392519738 617480432 621121484 20548234 570337657 621068575 620715966 768412709 619234694 618091958 618951325 616485916 616398562 337079283 18810308 337077709 441438706 616358941P
Maryland - ECON - 424
NumberStudent 19 Yes 16 Yes 15 Yes 10 Yes 18 Yes 3 Yes 4 Yes 8 Yes 13 Yes 2 Yes 5 Yes 17 Yes 20 Yes 11 Yes 12 Yes 21 Yes 1 YesStudent ID 21130751 616421358 620977563 618196363 373953399 392519738 617480432 621121484 20548234 570337657 621068575 6
Maryland - ECON - 424
Questions for SAS program handout #2: 1. 2. 3. 4. 5. 6. 7. How many students in data "GRADES" have valid student ids? How many students in data "GRADES" have midgrade of B or above? How many students in data "CLS1DATA" have valid student ids? How man
Maryland - ECON - 424
Sample SAS program #2 merge grades.csv, firstclass-survey.csv, gss-survey.csvEcon 424 Spring 2004 by Ginger Z. Jin University of Maryland April 13, 20031*This program merges grades file with the first class survey results and the gss survey re