【INFO1113 飞机调度算法】INFO1113 Assignment 1
Due: 23 April 2021, 11:59PM AEST
This assignment is worth 12% of your final grade.
Task Description – Flight Scheduler
In this assignment, you will create a Flight Scheduler application in the Java programming language. The
program will be a tool for airlines to use to schedule flights between different locations, producing
timetable plans, and an easy way to check routing between cities on multiple flights. You must create at
least three classes: FlightScheduler, Flight and Location, for which a scaffold and description have been
provided to you. The FlightScheduler class will contain the main entry point of the application (static main
function).
You are encouraged to ask questions on Ed under the assignments category if you are unsure of the
specification – but staff members will not be able to do any coding or debugging in this assignment for
you. As with any assignment, make sure that your work is your own, and do not share your code or
solutions with other students.
Working on your assignment
You can work on this assignment on your own computer or the lab machines. It is important that you
continually back up your assignment files onto your own machine, external drives, and in the cloud.
You are encouraged to submit your assignment on Ed while you are in the process of completing it. By
submitting you will obtain some feedback of your progress on the sample test cases provided.
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Implementation details
Write a program in Java to implement the Flight Schedular application that accepts input from the user
via standard input. The terminal interface allows the user to interact with the program, to give it input
and receive output. The available commands are described below in the section ‘Commands’.
There are three main classes you must implement, but you may also create more if you wish.
FlightScheduler class
This class will contain the main entry point of your program (static main function) and store links to all the
data relevant to the application. It will be a container for the flight schedule, which is made up of a list of
Flights. It should also contain a list of Locations.
The flight schedule is only a single week, Monday to Sunday, which repeats. Assume all times are in UTC,
so you do not have to account for timezone differences at different locations.
Flight class
The Flight type should contain all data relevant to a particular flight, methods that perform operations on
a Flight or multiple Flights. Attributes will be the flight ID, departure time, source and destination
locations, capacity, ticket price, number of passengers booked, and anything else you think is relevant.
Flight duration is determined by the distance between the start and end locations, calculated using the
Haversine Formula, and assuming the average speed of an aircraft is 720km/h. The initial ticket price is
calculated using an average cost of $30, plus 4x the demand coefficient differential between locations,
per 100km distance. For example, if the starting location has demand coefficient of -1 and the end has -1,
it remains $30 per 100km. If the starting location has -1 and the end has 1, then it’s $38 per 100km. If the
starting location has 1 and end has -1, it would be $22 per 100km.
Ticket price changes when the flight starts to fill up. For the first 50% of seats, the price decreases linearly
to 80% of its original value by the time the flight is half full. For the next 20% of seats, the price increases
linearly back to 100% of its original value. For the last 30% of seats, ticket price increases by an inversetan
curve to 110% of its original value.
= ?
?0.4 + 1, 0 < ≤ 0.5
+ 0.3, 0.5 < ≤ 0.7
0.2
× tan??(20 ? 14) + 1 , 0.7 < ≤ 1
= ×
100 × (30 + 4??? ? ?????)
where
T = ticket price
y = multiplier for ticket price to determine current value
x = proportion of seats filled (booked/capacity)
d = flight distance in kilometres (haversine formula result)
Dto = demand coefficient for destination location
Dfrom = demand coefficient for starting location
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Location class
The Location type should contain all data relevant to a particular location, and methods that perform
operations on a Location or multiple Locations. Attributes will be the location name, latitude and
longitude coordinates, lists of arriving and departing flights, and a demand coefficient. Location names
must be unique (case insensitive). Latitude must be within [-85, 85] and longitude must be within [-
180,180], both in degrees. The demand coefficient is a number between -1 and 1 (inclusive) which
represents whether there is a net inflow or outflow of passengers from this location (negative means
passengers want to leave, positive means they want to come). It factors into the calculation that
determines the ticket price for a particular flight.
Assume each location has only one runway – that is, no flights can be scheduled to arrive or depart within
an hour of another at a particular location. Multi-runway airports can be represented by multiple
locations in such a system (eg. Heathrow-1, Heathrow-2, etc).
If there is a scheduling conflict, you must check for conflicts in the following order:
? If there is a clashing flight departing within an hour of this flight’s departure time, at the source
? If there is a clashing flight arriving within an hour of this flight’s departure time, at the source
? If there is a clashing flight departing within an hour of this flight’s arrival time, at the destination
? If there is a clashing flight arriving within an hour of this flight’s arrival time, at the destination
If there are multiple conflicting flights, the message output should refer to the first one immediately after
the flight attempting to be entered into the schedule for that location. If all of the conflicts are before the
current flight, then the conflict output is the one immediately before the current flight in the schedule for
that location. For example:
8am 9am 10am
A C B
Flight C is attempting to be entered into the schedule at a particular location. There are flights A and B
already in the schedule. Flight B is the one output as the conflict. If flight B was not present, flight A would
be output as the conflict.
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Commands
FLIGHTS - list all available flights ordered by departure time, then departure location name
FLIGHT ADD
FLIGHT IMPORT/EXPORT
FLIGHT
capacity, passengers booked)
FLIGHT
and then adjust the ticket price to reflect the reduced capacity remaining. If no number is given, book 1
passenger. If the given number of bookings is more than the remaining capacity, only accept bookings
until the capacity is full.
FLIGHT
FLIGHT
LOCATIONS - list all available locations in alphabetical order
LOCATION ADD
LOCATION
LOCATION IMPORT/EXPORT
SCHEDULE
DEPARTURES
ARRIVALS
TRAVEL
destination, with a maximum of 3 stopovers. Default ordering is for shortest overall duration. If n is not
provided, display the first one in the order. If n is larger than the number of flights available, display the
last one in the ordering.
can have other orderings:
TRAVEL
TRAVEL
TRAVEL
TRAVEL
TRAVEL
HELP – outputs this help string.
EXIT – end the program.
Note: All commands may be case insensitive.
However Location names when stored in the location class, should display the name as initially given.
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Travel command
Since the schedule is weekly and wraps around, you need to consider the possibility of a flight arriving on
Sunday evening potentially connecting with a flight that departs on Monday morning. As such, you may
ignore available seat capacity selecting a flight in a potential route, since it is assumed that the current
bookings are only for the current week, and this flight route may be used to show results for travellers in
subsequent weeks, looking to make a booking later on. However, the ticket prices and overall route cost
should depend on the current booking numbers of each flight, since we are assuming that the current
booking demand is a good indicator of future demand, so ticket prices will be similar in the future to what
they are now.
The TRAVEL command has 5 potential orderings, detailed below. If the primary sorting property is equal
between two flight paths, it will fall back to the following secondary and tertiary sorting properties.
? If total cost is equal, sort then by minimum total duration.
? If total duration is equal, sort then by minimum current cost. Total duration is the time taken from
initial departure of the first flight, to finally arriving at the destination.
? If number of stopovers is equal, sort then by minimum total duration (and then by minimum
cost). Stopovers are intermediary locations travelled to in order to reach the destination.
? If layover time is equal, sort then by minimum total duration (and then by minimum cost).
Layover time is the time spent waiting at the airport for connecting flights.
? If flight time is equal, sort then by minimum total duration (and then by minimum cost). Flight
time is the time spent onboard the aircraft while it is flying (ie. total duration excluding layover
time).
The output format of the travel command is composed of the flight plan, with layover times between
flights specified, see the examples section below.
Note: The number of stopovers is the number of intermediary destinations, not including the original
starting location and final destination. It is equivalent to the number of flight legs minus 1.
Also: The nth flight in the order, starts from 0 being the first one.
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Error messages
The following messages should be output upon encountering the prescribed error case or condition. The
order of precedence is as shown here, except ‘not enough arguments’ takes precedence:
command Description of condition/error case Message output
flight add Time added was not in the correct
format, for example “Monday 18:00”
Invalid departure time. Use the format
time.
Starting location was not in the
database.
Invalid starting location.
Ending location was not in the database. Invalid ending location.
Capacity was not a positive integer. Invalid positive integer capacity.
The two locations entered were the
same.
Source and destination cannot be the same
place.
No runways are available for this flight
at the designated location at that time.
“Monday 18:00”
Scheduling conflict! This flight clashes with
Flight
No runways are available for this flight
at the designated location at that time.
“Monday 18:00”
Scheduling conflict! This flight clashes with
Flight
Not enough command arguments given. Usage: FLIGHT ADD
ADD Monday 18:00 Sydney Melbourne 120
flight book The number of passengers entered was
not a valid positive integer.
Invalid number of passengers to book.
If the capacity is full, print this after each
attempt at booking that would
otherwise exceed the capacity, or has
filled it.
Flight is now full.
flight
remove
Remove this flight – display the short
departure time, eg. Mon 18:00, and
then source ? destination locations.
Removed Flight
-->
flight reset Display the short departure time, eg.
Mon 18:00, and then source ?
destination locations.
Reset passengers booked to 0 for Flight
flight
not a number, or does not exist in the
database.
Invalid Flight ID.
flight no parameters given Usage:\nFLIGHT
[num]\nFLIGHT ADD
IMPORT/EXPORT
import No filename is given, or the file doesn’t
exist.
Error reading file.
export No filename is given, or the directory for
this file doesn’t exist.
Error writing file.
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flights/
locations
No flights/locations are available – print
this instead of the flight/location listing
(None)
location
add
Location is already present in the
database (case insensitive based on
name)
This location already exists.
Latitude exceeds bounds or is an invalid
number.
Invalid latitude. It must be a number of
degrees between -85 and +85.
Longitude exceeds bounds or is an
invalid number
Invalid longitude. It must be a number of
degrees between -180 and +180.
Demand coefficient exceeds bounds or
is an invalid number.
Invalid demand coefficient. It must be a
number between -1 and +1.
Not enough command arguments given. Usage: LOCATION ADD
ADD Sydney -33.847927 150.651786 0.2
location Location is not present in the database
(case insensitive based on name)
Invalid location name.
location No parameters given. Usage:\nLOCATION
IMPORT/EXPORT
Schedule,
departures,
arrivals
Location is not present in the database
(case insensitive based on name)
This location does not exist in the system.
travel Starting location is not present in the
database (case insensitive based on
name.
Starting location not found.
Ending location is not present in the
database (case insensitive based on
name.
Ending location not found.
Bad sorting property. Invalid sorting property: must be either cost,
duration, stopovers, layover, or flight_time.
No flight paths of 3 stopovers or less are
available from the given starting
location to the ending destination.
Sorry, no flights with 3 or less stopovers are
available from
No parameters given. Usage: TRAVEL
[cost/duration/stopovers/layover/flight_time]
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CSV file formats
The import and export command for flights and locations allow the contents of the flight and location
databases within the program to be saved to CSV (comma separated values) files. Two example files have
been provided, as well as a sample command input/output sequence below.
When importing, if invalid lines are encountered in the file without the required data, skip them. Display
the total number of invalid flights at the end, if any were invalid. An invalid flight is only considered if
there were enough parameters in the line (ie. Exclude empty lines and lines without enough parameters
from the invalid total). For example:
User: location import locations.csv
Imported 23 locations.
1 line was invalid.
User: flight import flights.csv
Imported 23 flights.
3 lines were invalid.
User: flight import flights2.csv
Imported 1 flight.
User: flight export flights3.csv
Exported 1 flight.
Flights and locations are to be imported in the order they are given in the file.
Export should write to the file flights in the order of their flight id, and locations in the order of their
name.
Flights csv has the following format: day time,startLocation,endLocation,capacity,booked
Example:
Monday 18:00,Sydney,Melbourne,120,80
Monday 19:00,Sydney,Hobart,120,29
Monday 21:30,Sydney,Hobart,120,29
Monday 18:00,Auckland,Rio,120,1
Locations csv has the following format: locationName,latitude,longitude,demandCoefficient
Example:
Sydney,-33.847927,150.651786,0.4
Hobart,-42.8823399,147.3198016,0.1
Perth,-32.0397559,115.681346,0.5
Adelaide,-35.0004451,138.3309716,0.1
CoffsHarbour,-30.2973943,153.0286009,-0.2
Brisbane,-27.4732824,152.747337,0.3
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Examples – Input/Output format
Format of FLIGHTS command – sorted by departure time:
Flights
ID Departure Arrival Source --> Destination
0 Mon 17:00 Mon 17:04 Brisbane --> GoldCoast
1 Mon 18:05 Mon 18:09 Brisbane --> GoldCoast
2 Mon 19:05 Mon 19:09 Brisbane --> GoldCoast
Format of flight
Flight 0
Departure: Mon 00:05 Berlin
Arrival: Mon 08:57 NewYork
Distance: 6,387km
Duration: 8h 52m
Ticket Cost: $1724.01
Passengers: 0/189
Format of locations command – sorted by alphabetical order:
Locations (3):
Berlin, London, NewYork
Format of location
Location: Hobart
Latitude: -42.882340
Longitude: 147.319802
Demand: +0.5000
Format of travel command:
User: travel sydney london
Legs: 3
Total Duration: 34h 36m
Total Cost: $5172.49
ID Cost Departure Arrival Source --> Destination
5 $ 3399.00 Wed 10:00 Thu 02:44 Sydney --> AbuDhabi
LAYOVER 1h 16m at AbuDhabi
10 $ 1384.44 Thu 04:00 Thu 11:11 AbuDhabi --> Oslo
LAYOVER 7h 49m at Oslo
20 $ 389.05 Thu 19:00 Thu 20:36 Oslo --> London
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Examples (1)
$ java FlightScheduler
User: location add Berlin 52.5 13.15 0.22222
Successfully added location Berlin.
User: location add NewYork 40.7 -74.26 -0.874
Successfully added location NewYork.
User: flight add sunday 20:00 Berlin NewYork 250
Successfully added Flight 0.
User: flights
Flights
ID Departure Arrival Source --> Destination
0 Sun 20:00 Mon 04:52 Berlin --> NewYork
User: flight 0
Flight 0
Departure: Sun 20:00 Berlin
Arrival: Mon 04:52 NewYork
Distance: 6,387km
Duration: 8h 52m
Ticket Cost: $1636.01
Passengers: 0/250
User: flight add monday 05:00 newYork berlin 234
Scheduling conflict! This flight clashes with Flight 0 arriving at
NewYork on Monday 04:52.
User: exit
Application closed.
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Examples (2)
$ java FlightScheduler
User: flight import flights.csv
Imported 0 flights.
3 lines were invalid.
User: location import locations.csv
Imported 51 locations.
User: locations
Locations (51):
AbuDhabi, Adelaide, AliceSprings, Alta, Athens, Auckland, Beijing,
Berlin, Bern, Bordeaux, Brisbane, Cairo, Cardiff, Chicago,
CoffsHarbour, Dallas, Darwin, Dubai, Dubbo, GoldCoast, Hanoi, Hobart,
Houston, Jakarta, Johannesburg, Lagos, Liverpool, London, Longyearbyen,
LosAngeles, Luton, Madrid, Manchester, Moscow, NewYork, Orange, Oslo,
Paris, Perth, Rio, Rome, SanFrancisco, Stockholm, Sydney, Toulouse,
Townsville, Tromso, Ufa, Utqiagvik, Vladivostok, Washington
User: flights import flights.csv
Flights
ID Departure Arrival Source --> Destination
(None)
User: flight import flights.csv
Imported 2 flights.
1 line was invalid.
User: flights
Flights
ID Departure Arrival Source --> Destination
0 Mon 19:00 Mon 20:27 Sydney --> Hobart
1 Mon 21:30 Mon 22:57 Sydney --> Hobart
User: flight 0
Flight 0
Departure: Mon 19:00 Sydney
Arrival: Mon 20:27 Hobart
Distance: 1,045km
Duration: 1h 27m
Ticket Cost: $272.00
Passengers: 29/120
User: flight 1
Flight 1
Departure: Mon 21:30 Sydney
Arrival: Mon 22:57 Hobart
Distance: 1,045km
Duration: 1h 27m
Ticket Cost: $272.00
Passengers: 29/120
User: exit
Application closed.
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Examples (3)
User: location import locations.csv
Imported 51 locations.
User: flight add wednesday 6:00 sydney perth 180
Successfully added Flight 0.
User: flight add wednesday 8:00 sydney perth 180
Successfully added Flight 1.
User: flight 0
Flight 0
Departure: Wed 06:00 Sydney
Arrival: Wed 10:31 Perth
Distance: 3,254km
Duration: 4h 31m
Ticket Cost: $989.16
Passengers: 0/180
User: flight 0 book 20
Booked 20 passengers on flight 0 for a total cost of $19365.60
User: flight 0 book 20
Booked 20 passengers on flight 0 for a total cost of $18486.35
User: flight 0 book 20
Booked 20 passengers on flight 0 for a total cost of $17607.09
User: fligh1 book 100
Invalid command. Type 'help' for a list of commands.
User: fligh 1 book 100
Invalid command. Type 'help' for a list of commands.
User: flight 1 book 100
Booked 100 passengers on flight 1 for a total cost of $88381.66
User: flight 0
Flight 0
Departure: Wed 06:00 Sydney
Arrival: Wed 10:31 Perth
Distance: 3,254km
Duration: 4h 31m
Ticket Cost: $857.27
Passengers: 60/180
User: flight 1
Flight 1
Departure: Wed 08:00 Sydney
Arrival: Wed 12:31 Perth
Distance: 3,254km
Duration: 4h 31m
Ticket Cost: $846.28
Passengers: 100/180
User: flight add wednesday 11:31 perth johannesburg 230
Successfully added Flight 2.
User: fligh 2
Invalid command. Type 'help' for a list of commands.
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User: flight 2
Flight 2
Departure: Wed 11:31 Perth
Arrival: Wed 23:03 Johannesburg
Distance: 8,303km
Duration: 11h 32m
Ticket Cost: $2163.44
Passengers: 0/230
User: flight add thursday 01:00 johannesburg London 220
Successfully added Flight 3.
User: flight add friday 01:00 johannesburg London 220
Successfully added Flight 4.
User: flight add satursday 01:00 johannesburg London 220
Invalid departure time. Use the format
with 24h time.
User: flight add saturday 01:00 johannesburg London 220
Successfully added Flight 5.
User: flights
Flights
ID Departure Arrival Source --> Destination
0 Wed 06:00 Wed 10:31 Sydney --> Perth
1 Wed 08:00 Wed 12:31 Sydney --> Perth
2 Wed 11:31 Wed 23:03 Perth --> Johannesburg
3 Thu 01:00 Thu 13:36 Johannesburg --> London
4 Fri 01:00 Fri 13:36 Johannesburg --> London
5 Sat 01:00 Sat 13:36 Johannesburg --> London
User: flight export flights3.csv
Exported 6 flights.
User: exit
Application closed.
Examples (4)
User: location import locations.csv
Imported 51 locations.
User: location import locations4.csv
Imported 2 locations.
User: flight import flights6.csv
Imported 182 flights.
User: travel sydney london
Legs: 3
Total Duration: 34h 36m
Total Cost: $5172.49
ID Cost Departure Arrival Source --> Destination
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5 $ 3399.00 Wed 10:00 Thu 02:44 Sydney --> AbuDhabi
LAYOVER 1h 16m at AbuDhabi
10 $ 1384.44 Thu 04:00 Thu 11:11 AbuDhabi --> Oslo
LAYOVER 7h 49m at Oslo
20 $ 389.05 Thu 19:00 Thu 20:36 Oslo --> London
User: exit
Application closed.
Examples (5)
User: location import locations.csv
Imported 51 locations.
User: location import locations4.csv
Imported 2 locations.
User: flight import flights6.csv
Imported 182 flights.
User: schedule sydney
Sydney
ID Time Departure/Arrival to/from Location
166 Mon 10:30 Departure to Dubai
100 Mon 12:00 Departure to Jakarta
103 Mon 13:33 Arrival from AbuDhabi
89 Mon 19:00 Departure to Hobart
90 Mon 21:30 Departure to Hobart
173 Tue 02:38 Arrival from AliceSprings
174 Tue 04:00 Departure to AliceSprings
69 Tue 05:00 Departure to LosAngeles
99 Tue 08:27 Arrival from Hobart
0 Wed 09:00 Departure to Beijing
5 Wed 10:00 Departure to AbuDhabi
161 Wed 11:00 Departure to LosAngeles
162 Wed 13:00 Departure to Dubbo
165 Wed 15:23 Arrival from Dubbo
163 Wed 18:00 Departure to Orange
164 Wed 20:14 Arrival from Orange
6 Thu 04:44 Arrival from AbuDhabi
3 Thu 11:11 Arrival from Hanoi
131 Fri 14:00 Departure to AbuDhabi
113 Sat 04:00 Departure to Perth
114 Sat 06:00 Departure to Perth
112 Sat 09:00 Departure to Perth
User: arrivals sydney
Sydney
ID Time Departure/Arrival to/from Location
103 Mon 13:33 Arrival from AbuDhabi
173 Tue 02:38 Arrival from AliceSprings
99 Tue 08:27 Arrival from Hobart
165 Wed 15:23 Arrival from Dubbo
164 Wed 20:14 Arrival from Orange
6 Thu 04:44 Arrival from AbuDhabi
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3 Thu 11:11 Arrival from Hanoi
User: departures sydney
Sydney
ID Time Departure/Arrival to/from Location
166 Mon 10:30 Departure to Dubai
100 Mon 12:00 Departure to Jakarta
89 Mon 19:00 Departure to Hobart
90 Mon 21:30 Departure to Hobart
174 Tue 04:00 Departure to AliceSprings
69 Tue 05:00 Departure to LosAngeles
0 Wed 09:00 Departure to Beijing
5 Wed 10:00 Departure to AbuDhabi
161 Wed 11:00 Departure to LosAngeles
162 Wed 13:00 Departure to Dubbo
163 Wed 18:00 Departure to Orange
131 Fri 14:00 Departure to AbuDhabi
113 Sat 04:00 Departure to Perth
114 Sat 06:00 Departure to Perth
112 Sat 09:00 Departure to Perth
User: arrivals perth
Perth
ID Time Departure/Arrival to/from Location
169 Mon 17:52 Arrival from AliceSprings
113 Sat 08:31 Arrival from Sydney
114 Sat 10:31 Arrival from Sydney
112 Sat 13:31 Arrival from Sydney
User: departures perth
Perth
ID Time Departure/Arrival to/from Location
145 Mon 00:00 Departure to Johannesburg
171 Mon 15:05 Departure to AliceSprings
170 Mon 16:05 Departure to AliceSprings
115 Thu 06:00 Departure to Mumbai
132 Fri 13:00 Departure to AbuDhabi
User: schedule perth
Perth
ID Time Departure/Arrival to/from Location
145 Mon 00:00 Departure to Johannesburg
171 Mon 15:05 Departure to AliceSprings
170 Mon 16:05 Departure to AliceSprings
169 Mon 17:52 Arrival from AliceSprings
115 Thu 06:00 Departure to Mumbai
132 Fri 13:00 Departure to AbuDhabi
113 Sat 08:31 Arrival from Sydney
114 Sat 10:31 Arrival from Sydney
112 Sat 13:31 Arrival from Sydney
User: exit
Application closed.
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Examples (6)
$ java FlightScheduler
User: location add Mumbai 19.08 72.741 0.4
Successfully added location Mumbai.
User: location add NewDelhi 28.527 77.0688988 -0.123
Successfully added location NewDelhi.
User: flight add monday 08:00 mumbai newdelhi 120
Successfully added Flight 0.
User: flight 0
Flight 0
Departure: Mon 08:00 Mumbai
Arrival: Mon 09:35 NewDelhi
Distance: 1,139km
Duration: 1h 35m
Ticket Cost: $317.79
Passengers: 0/120
User: flight 0 book 23
Booked 23 passengers on flight 0 for a total cost of $7041.08
User: flight 0 reset
Reset passengers booked to 0 for Flight 0, Mon 08:00 Mumbai -->
NewDelhi.
User: flight 0
Flight 0
Departure: Mon 08:00 Mumbai
Arrival: Mon 09:35 NewDelhi
Distance: 1,139km
Duration: 1h 35m
Ticket Cost: $317.79
Passengers: 0/120
User: flight 0 book 130
Booked 120 passengers on flight 0 for a total cost of $36255.03
Flight is now full.
User: flight 0 remove
Removed Flight 0, Mon 08:00 Mumbai --> NewDelhi, from the flight
schedule.
User: flights
Flights
ID Departure Arrival Source --> Destination
(None)
User: exit
Application closed.
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Writing your own testcases
We have provided you with some test cases but these do not test all the functionality described in the
assignment. It is important that you thoroughly test your code by writing your own test cases.
You should place all of your test cases in a tests/ directory. Ensure that each test case has a .in input file
along with a corresponding .out output file. We require that the names of your test cases are descriptive
so that you know what each is testing, e.g. listFlights.in & listFlights.out and we can accurately and quickly
assess your test cases. Note: If you do not format your test case files as explained (where each test case
has
receive 0 for this component.
Submission Details
You must submit your code and tests using the assignment page on Ed. To submit, simply place your files
and folders into the workspace, click run to check your program works and then click submit.
You are encouraged to submit multiple times, but only your last submission will be considered.
Marking
? 7 marks will be assigned based on the results of the automatic tests and correctness of the
program. This component will use hidden test cases that cover every aspect of the specification.
Your program must match the exact output in the examples and the test cases on Ed.
? 4 marks will be assigned to the code coverage of the testcases you have written yourself. For this,
we will use a script to automatically generate a code coverage report using Jacoco. For this
reason, please make sure you structure your testcases in the manner described above.
? 0.5 marks will be assigned based on a manual inspection of the OO design of your program. Being
able to apply standard paradigms of Object-Oriented Design such as encapsulation, not repeating
code, and separation of methods and attributes into different classes with a single responsibility is
part of the learning outcomes of this course.
? 0.5 marks will be assigned based on a manual inspection of the code style. Style will be assessed
based on the conventions set out in the Google Java Style Guide
(https://google.github.io/styl... )
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Academic Declaration
By submitting this assignment you declare the following:
I declare that I have read and understood the University of Sydney Student Plagiarism: Coursework Policy
and Procedure, and except where specifically acknowledged, the work contained in this
assignment/project is my own work, and has not been copied from other sources or been previously
submitted for award or assessment.
I understand that failure to comply with the Student Plagiarism: Coursework Policy and Procedure can lead
to severe penalties as outlined under Chapter 8 of the University of Sydney By-Law 1999 (as amended).
These penalties may be imposed in cases where any significant portion of my submitted work has been
copied without proper acknowledgment from other sources, including published works, the Internet,
existing programs, the work of other students, or work previously submitted for other awards or
assessments.
I realise that I may be asked to identify those portions of the work contributed by me and required to
demonstrate my knowledge of the relevant material by answering oral questions or by undertaking
supplementary work, either written or in the laboratory, in order to arrive at the final assessment mark.
I acknowledge that the School of Computer Science, in assessing this assignment, may reproduce it
entirely, may provide a copy to another member of faculty, and/or communicate a copy of this assignment
to a plagiarism checking service or in-house computer program, and that a copy of the assignment may be
maintained by the service or the School of Computer Science for the purpose of future plagiarism checking.
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