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COMP3760/6760: Enterprise Systems Integration
创建日期：2024-06-25 16:00:22
标签： COMP3760
Enterprise Systems Integration

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COMP3760/6760: Enterprise Systems Integration


DSC 30 Final Project  
General Requirements  
1
. Office hours through Autograder and Zoom: You are only allowed to submit at most 2  
tickets for debugging questions on the final project (autograder errors will not count).  
We will count your opportunity as used if you asked any questions about the final  
project in a session.  
2
. Piazza: You can submit unlimited amounts of clarification questions in public posts  
only. Private posts about the final project will not be answered. You are not allowed to  
post your final project code in a piazza post unless being told to do so by an instructor.  
Since all clarification questions are public posts, you are encouraged to search your  
potential questions first before you make a new post.  
3
. Others: You are not allowed to request help on the final project through other  
approaches, including sending email to the instructors, or reaching the instructors  
through social networks.  
Note that these policies will only apply to the final project related questions. If you need help  
from us for other reasons, feel free to contact us in the usual approach you prefer.  
START EARLY!  
●
Choose names for test methods and for variables that are descriptive and useful when  
you see them in the test output.  
●
●
Consider writing helper methods if you repeatedly use the same set of statements.  
Use Javadoc comments for descriptions of your methods and classes and inline  
comments if the logic of your program is not captured by your variable names and the  
natural flow of code.  
Testing Requirements  
For the final project, you are not required to submit any test cases, including JUnit test files  
and main methods. However, we strongly recommend you to test your code thoroughly.  
Think about the butterfly effect: a small mistake in one method will lead to a major failure of  
the project.  
Please follow the same procedures as before to get your starter code and set up IntelliJ.  
Part 1: Project Overview  
In this project, you will implement a hybrid data structure (called FADAF, Part 4) that stores  
key-data pairs with support of duplicate keys.  
The goal of creating this new data structure is to achieve optimal time complexity for every  
operation it supports by sacrificing space complexity. To achieve this goal, we will use a  
combination of data structures we learned from this class as the backed structures. This new  
data structure will be primarily backed by (thus you must use) a hash table (Chaining, Part 2),  
and a binary search tree that supports duplicates (DAFTree, Part 3). If you want to use other  
data structures for optimization, feel free to use the built-in ones (import from java.util.*  
package), but you must implement Part 2 and 3, and use these two structures to implement  
Part 4. This is an open-ended project, meaning that there are multiple valid implementations  
for many methods. You should enhance the time complexity of all methods as best as you  
can.  
Note that the backed data structures in Part 2 and Part 3 are considered as helper classes.  
Therefore, you will find that many methods will give access to the raw implementation details  
(
such as tree nodes) publicly. With the same reasoning, you are allowed to add helper  
methods with ANY access modifier (not confined to private anymore) in these two data  
structures. However, the hybrid data structure in Part 4 will still NOT allow any public  
exposure of implementation details, just like the usual data structures you have implemented  
before.  
You may reuse the codes from your previous PAs, readings, lectures, and exams to  
save you some time. Make sure you have done the necessary modifications to fit  
these codes in this assignment.
Part 2: Hash Table (Chaining)  
Introduction  
In this section, you will implement a hash table that applies the chaining  
to resolve collisions. You may refer to the course materials for the specific algorithms of  
chaining. For this implementation, we will use the LinkedList API from Java.util to express the  
chain, and an array of LinkedList to express the table.  
Another key difference between this hash table and the hash table in PA 8 is that our hash  
table now supports Generics (<T>).  The hashCode()  
method is declared in the Java.lang.Object (parent class of ALL class by default), and  
implemented in all common concrete classes (such as Integer, String, etc.). This method  
returns the hash value of the given object that Java’s built-in hash tables can use. If you want  
to use Java’s built-in hash tables for your self-defined classes or the instructed hash table  
described below, these classes must overwrite the hashCode() method. You may read the  
method descriptions below for how you should apply this method to this implementation.  
Debugging Tip: Create a HashTable that stores Integer to test, since the hashCode of an  
integer is just the integer itself which is easy to keep track of.  
Implementation  
All implementations of this part should be done in HashTable.java, and you must  
complete all the following constructor and methods.  
public HashTable(int capacity)  
A constructor that initializes a hash table with specified capacity.  
@
throws IllegalArgumentException if capacityis less than the minimum threshold (10)  
public boolean insert(T value)  
A method that inserts the value in the hash table. This method returns true if the value  
is inserted, and false if the value is already present in the hash table. Before insertion,  
this method checks if the load factor is greater than ⅔, and invokes rehash() if the  
condition satisfies.

@
throws NullPointerException if the value is null  
public boolean delete(T value)  
A method that deletes the value from the hash table. This method returns true if the  
value was in the hash table before deletion, and false if the value was not found.  
@
throws NullPointerException if the value is null  
public boolean lookup(T value)  
A method that checks if the value is stored in the hash table. This method returns true  
if the value is in the hash table, and false otherwise.  
@
throws NullPointerException if the value is null  
public int size()  
A method that returns the total number of elements stored in the hash table.  
public int capacity()  
A method that returns the total capacity of the hash table.  
private int hashValue(T value)  
A method that calculates the hash value (expected index) of the value in the hash  
table. This method calls the hashCode() of the value and mod by the capacity of the  
hash table.  
private void rehash()  
A method that performs rehash when the condition is met. This method doubles the  
capacity of the original table, and re-insert all values (not the chained list) present in  
the old table by iterating through the old table.  
You can add more helper methods with ANY access modifiers if you think they are  
necessary for your implementation.
In this section, you will  
implement a modified version of the Binary Search Tree that supports storing duplicates. This  
tree is called Duplicates-Are-Fine tree, and you should have already seen it in the second  
midterm. You may refer to the second midterm and other course materials for specific  
definitions and examples of DAF trees.  
Note that compared with the declarations in the midterm 2, we have added a par reference in  
DAFNode that points to the parent node. This reference might be helpful to optimize certain  
operations. In addition, since we consider this tree as a helper class for our hybrid structure,  
you will find many methods are returning the node directly. This is intended and might be  
useful for your Part 4 implementation.  
A key feature of this tree is that it supports two generic parameters (<K extends  
Comparable<? super K>, D>). Parameter K is used to denote the type of key, and the type K  
must be Comparable so that you can use compareTo() for comparison. Parameter D is used  
to denote the type of data, and you can use any concrete class to fit in this type. The  
declaration of DAFTree with concrete classes will look like DAFTree<String, Integer>.  
Since the DAF tree is a normal BST with dup sequences, you should be able to finish the  
majority of implementations by modifying your BST implementation. However, you should  
always keep the dup sequences in mind when modifying your old code, and sometimes  
accommodating the dup sequences will be trickier than you would expect. We will have more  
explanations of methods in the implementation section.


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MGMTMFE 405 25579 1ECE 273 M122 COMP4434 1ELEC ELEC5620M STAT0010 BFF2401 MXB361 MATH3811 CS330 CMT307 FIT1033 CptS 583 UP 431 MATH6005 AF5343 CS2435 ECOM30002 ES50061 CS 2506 ECMT6002 CODE 00099F MT4539 ESSAY ICM317 MATH1231 MFIT5010 BMA547 MATH334 CIVL2201 MATH39032 T-04 CIVE97119 EMESTER CAB302 CAB301 59PM STAT802 ISYS3412 RM3 COSC 2123 AcF 311 MATH2022 1FINAL 4CCS1PHC ICM 142 ENVS3023 Math 4023 I1 ACSE8 FIN B385F CS-275 STA 4109-01 A31021 EE140 MT1 EE124 ECO-6004B Inf2-IADS CS126 IS2184 UL18 MATH5092 ECOM009 COMP 6211 ELEC202 MKT3019 IAB230 FIT5046 584-S21 COMP3210 CO250 A29401 MATH 136 MGT6174 ECMT6007 DATA2001 MAT 443 MATH10222 PHDE0071 ELE00123M COSC1295 MAT00045H MATH32032 1004GRC MAS223 COMP10001 DATA3404 CIVL2110 STAT2008 FNCE10002 EEE6431 COM6515 COMP9120 NBS8185 ECTE942 ECON 405 MATH314301 STAT 2011 COMPSCI 350 COMP20007 CMPSC-132 ECON5002 STA 35 MTH6108 FIT5147 MTH6150 100C FINA 5260 DESC9115 ECON4998 NBS8257 GMM ECON 6070 BSA2 ECE599 STATS 102B STA120 INFS601 BFC3241 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CIVL2010 ECMT2150 CS 333 CP1406 KIT308 Economics 701 ECON3740 ECE 5759 BFC3340 FINC2012 COMP4500 MATH3871 FIT3080 18-819C Economic ECO202Y5Y PHY100 FINC-780 Econ 100B EC602 IE582 EE450 COMP9517 WRDS 150B ECON 570 LECTURE 2 ECA5101 ECE 4420 ADAD9311 FIT3031 CS 544 MF 703 CS 6140 KIT501 ENGSCI 344 CSC171 IE 332 FINM8007 21S2 COSC 1114 FE545 E471 SIT102 CSC108 MAT301 IAE 101 COP3503 STAT2004 EC 303 CS1026 STAT1203 MATH3171 ISOM5160 IFN657 FIT2014 ACCT2102 DSCI550 STATS 330 ELEC421 COMP3670 QBUS6840 MEES:698B MAST30027 MIET1077 Economics IFT 6758 FIT5122 BUSN5101 CptS 111 HRMT5502 Math2018 PP 312 INFS3200 CZ3005 CSSE1001 SENG 2011 MKTG 553Q BUFN 640 COMP507 ETF5952 DATA 311 ECE4043 BANK3011 finance M3H623544 HW1 INFS 7410 AI6103 STAT3888 INFS3208 ACCT7103 ECOS3013 PSYCH 20B F79MA STAT3006 ENGG952 2X MGSC 7000 ECE4132 MSF 526 MATH 3033 CDS 511 EEEE4120 EEET2465 ECA5103 MATH2070 ELEC3104 BU51019 EEE8147 ENGR20003 COSC 1107 ETF3200 FNCE 435 MSFI 435 ISyE6420 GENG4405 HW ETC5523 IE 7315 MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A 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ACCOUNTING BUSS1040 CHEM 181 MAT136H1 GY 6183 COMP3170 AGRI90089 PHYSICS 1002 ECON10003 IEOR E4004 ACS61012 MATH 40550 MKTG2113 TELE4653 ENSC1004 ECE 232E MK726 MTRX2700 SHEET 3 CSCA08 COMP30027 Math 2XX3 statistic MMAN3200 BISM7213 ECMM109 ECON 2022 FNCE 20005 GR5067 CSCB09 ME 3017 CS 5100 PHYS 2903 COMS 4771 COMP222 COMP 1046 CSC148H1 ISYS2038 FINS2615 OT5206 COMP2048 A6 MECH5770M MA826/20 CMPT 726 STA457 INFS6071 INFS588 integral ECON 216 IRDR 0017 MA323 PA 15213 PSYC2001 ENV222 Statistics ACCT5930 ACCT12 LAND2121 ME 5405 COMM1180 TELE3113 A7 ECE 568 ACCT2019 INFS1200 ENGG1340 CS 1400 ASST3 FINM7409 SWEN30006 INFO2222 FIN20150 SOSS1000 CSSE7231 FINS5513 COMS3200 CECN 702 ECON4060H MN3515 HW2 PSYA02H3 ECON 2112 COMP90051 CS 1652 MA30059 AF1605 MKTG7501 ECO-6003B COM4521 CTM ECON3350 COMP 3804 ELEC9762 BISM 7255 ST22 MATH20014 MNE3122 COMP343 MATH5165 ELE7029 ENGR30002 SEEM3500 ECON7350 RISK5002 FINM7405 COMP90059 MOS 3320B STAT 431 BISM7221 MATH3014 MTH783P EBA 35302 ACS133 BUS2206 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FN1024 MATH0094 MANG 6554 ECOS3003 ELEC6252 C2511C PHY328 EC1060 ECON32202 COMP4002-E1 MATH3063 EFIMM0124 QBUS2310 ECON4411 FUNDAMENTALS ACCT20001 18YX RPM COMP 2711 QBUS6600 BUSS5221 ST3189 FIT1047 MAT344 EGB375 MATH60013 MATH96011 COMP3557 MAST20029 ECM159 EAE1011 ENSCEN 105 SECTION A STA 141C SOSE 2022 PAM006 COMP0048 M40007 ISOM2500 CMPE 142 A06472 MCC150 ACST 8083 GEOG6087 ECON920 FINM7008 ENVENG 4110 COMPSCI 361 ENGRCEE 21 PHYS 1112 ACF2100 ECMM108 COMPS267F MAT00050M MAST30025 CSIT970 MSCI 224 INT202 PUBL0054 MSDM5004 BMAN 21020 BMAN21020 MGMT1002 MATH11150 LAWS7023 ACTL30002 CIVL3340 MATH1002 ECON 8069 COMPSCI 351 IBUS7302 STAT4528 CHEM1101 STAT3925 BUSN 7008 Comp 3120 ECOS2040 SWEN90010 ENGN6528 ECM158 ECON20022 COMP6452 Calculation CITS1401 S1889112 BUS 351 ACTL30008 FIT2091 ECON6002 IBUS6020 PHI 001 ECON30290 MATH7501 ECON10004 MFIN7017 ISYS90043 LAWS7012 ECON30025 COMP30023 COMM1190 ECOM20001 GSBS6009 STAT 337 EMET8002 ECOM90001 ECOM30001 FINC 2012 BUSINESS ENGCV512 ECO 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