首页
网站开发
桌面应用
管理软件
微信开发
App开发
嵌入式软件
工具软件
数据采集与分析
其他
首页
>
> 详细
代写COMP1721、代做java程序设计
项目预算:
开发周期:
发布时间:
要求地区:
COMP1721 Object-Oriented Programming
Coursework 1: Creating & Using Classes
1 Introduction
This assignment assesses your ability to implement classes and use them in a small program.
Consider the GPS data generated by a device such as a mobile phone. Your current location is represented
as a point, consisting of a timestamp, a longitude (in degrees), a latitude (in degrees) and an elevation above
sea level (in metres). Movement while GPS is enabled generates a track: a sequence of points representing
successive samples from the GPS sensor.
Your main task is to implement classes named Point and Trackthat can be used to represent points and
tracks, along with a small program that demonstrates the use of these classes. Figure 1 is a UML class
diagram showing the required features of, and relationship between, the two classes.
Figure 1: Classes used in Coursework 1
2 Preparation
2.1 Files Needed
Download cwk1files.zip from Minerva and unzip it. The best way of doing this on a SoC Linux machine
is in a terminal window, via the command
unzip cwk1files.zip
This will give you a directory named cwk1, containing all of the files you need.
Remove the Zip archive, then study the files in cwk1. In particular, examine the file README.md , as this
provides guidance on how to run the tests on which your mark will be largely based.
Note: all code should be written in the .java files provided in the src/main/javasubdirectory.
2.2 Method Stubs
A suite of unit tests is provided with the files for this coursework. These tests are used to verify that the
methods of the two classes have been implemented correctly. You will be awarded one mark for each test
that passes. The starting point for the coursework is to make sure that the tests compile and run.This means
that it is necessary to begin by creating method stubs: dummy versions of each method that do just enough
that the tests will compile successfully.
Refer to Figure 1 for details of the stubs that are required, and note the following:
• All stubs should have the parameter lists and return types shown in the UML diagram
• Constructors should be implemented as empty methods (nothing inside the braces)
• Any method that returns a numeric value should just return a value of zero
• Any method that returns an object should just return the valuenull
1
Note also that thePoint class references a class from the Java standard library namedZonedDateTime . This
is part of Java’s standard Date/Time API, defined in the package java.time—see the API documentation
for further details. To use it, you will need to add animportstatement to the start of Point.java:
import java.time.ZonedDateTime;
When you have created stubs for all the methods shown in Figure 1, you can attempt to compile and run the
tests using Gradle. See README.md for full details of how Gradle can be used.We simply note here that you
can run the tests from a Linux or macOS command line with
./gradlew test
Omit the ./ from the start of this command if you are working from the Windows command prompt, or use
.\gradlew.batto invoke Gradle if you are using Windows Powershell.
3 Basic Solution
This is worth 18 marks.
Please read all of the subsections below before starting work. We also recommend that you gain some
experience of implementing classes by doing the relevant formative exercises before you start.
3.1 PointClass
To complete the implementation of thePoint class, make the following changes toPoint.java:
• Add a field to represent the timestamp, of typeZonedDateTime(see below).
• Add fields to represent longitude, latitude and elevation, all of typedouble.
• Add code to the constructor that initialises the fields to the values supplied as method parameters,
with validation done for longitude and latitude (see below).
• Modify the ‘getter’ methods (getTime(), getLongitude(), etc) so that they return the relevant field
values, instead of the defaults like 0 ornull that were returned by the stubs.
• Change toString() so that it returns a string representation of a Point looking like this:
(-1.54853, 53.80462), 72.5 m
(The values here are longitude, then latitude, then elevation. The string should be formatted exactly
as shown here. Note the specific number of decimal places being used for each number!)
Make sure that it is not possible to create a Point object with an invalid latitude or longitude. Use the
constants provided in the class to help you with this, and throw an instance of the provided exception class,
GPSException, if inappropriate coordinates are supplied.
As you replace each method stub with its correct implementation, rerun the tests.You should see a growing
number of tests changing in status from FAILED to PASSED.
3.2 TrackClass
For the basic solution, make the following changes toTrack.java:
• Add a field suitable for storing a sequence ofPoint objects.
• Modify the constructor that take a string as its parameter, so that it initialises the field used to store
the Point objects and then calls the readFile() method.
• Add to readFile() some code that will read data from the file with the given filename, createPoint
objects from this data and then store those Point objects as a sequence (see below).
• Modify the size() method so that it returns the number of points currently stored in the track.
• Modift the get() method so that it returns thePoint object stored at a given position in the sequence.
Position is specified as an int parameter and should be validated (see below).
• Modify the add()method so that it adds a new point, supplied as a method parameter, to the end of
the track.
2
The readFile() method will need to read CSV files, examples of which can be found in thedatadirectory.
It should use a Scannerto do this. A good approach here would be to read the file line-by-line, split up the
line on commas, then parse each item separately.The lectures discuss how a file can be read in this manner.
You can use the static methodparse() of the ZonedDateTimeclass to parse the timestamp.
readFile() should NOT catch any exceptions that might occur during reading of the file. It will need an
exception specification, declaring that anIOExceptioncould happen if the named file cannot be accessed.
Your implementation should also explicitly throw a GPSExceptionif any record within the file doesn’t
contain the exact number of values needed to create a Point object. Note that you do not need to include
GPSExceptionas part of the method’s exception specification, because this exception class is not one of
Java’s ‘checked exception’ types.
The get() method should use the int value passed to it as an index into the sequence ofPoint objects, but
before doing that the method should check this int value and throw an instance of GPSExceptionif it is
not within the allowed range. Once again, note that there is no need to include an exception specification
for this.
As you replace each method stub with its correct implementation, rerun the tests.You should see a growing
number of tests changing in status from FAILED to PASSED.
4 Full Solution
This is worth a further 12 marks. It involves completing the implementation of the Trackclass and then
writing a small program that uses the two classes.
4.1 TrackClass
If you’ve completed the basic solution, there should be four remaining method stubs inTrack.java, which
should be modified as indicated below.
• Modify lowestPoint() and highestPoint() so that they return thePoint objects having the lowest
and highest elevations, respectively.
• Modify totalDistance() so that it returns the total distance travelled in metres when moving from
point to point along the entire length of the track (see below).
• Modify averageSpeed()so that it returns the average speed along the track, in metres per second
(see below)
All four of these methods should throw aGPSExceptionif the track doesn’t contain enough points to do the
necessary computation.
To implementtotalDistance(), you will need to compute ‘great-circle distance’ between adjacent points
on the track. A method to do this already exists in the Point class. Given two Point objects, pand q, the
great-circle distance in metres between them (ignoring elevation) will be given by
double distance = Point.greatCircleDistance(p, q);
To implement averageSpeed()you will need to compute the amount of time that has passed between
measurements for the first and last points on the track.You can use theChronoUnittype for this: specifically,
the between()method, which can be called on the object ChronoUnit.SECONDS to yield the time interval
in seconds between twoZonedDateTimeobjects.
Note: the ChronoUnitclass is part of Java’s standard Date/Time API. To use it, you will need to add an
importstatement to Track.java:
import java.time.temporal.ChronoUnit;
As you replace each method stub with its correct implementation, rerun the tests. Your goal here is to end
up with all 26 tests passing. If you achieve this, you can be assured of getting at least 26 marks for the
coursework.
4.2 TrackInfoProgram
Edit the file TrackInfo.java. In this file, create a small program that creates a Trackobject from data in
a file whose name is provided as a command line argument. You program should display: the number of
points in the track; its lowest and highest points; the total distance travelled; and the average speed.
3
Requiring the filename as a command line argument means that it has to be supplied as part of the command
that runs the program; the program should not be prompting for input of the filename once it has started
running!
For example, if running the program directly within a terminal window, you would need to enter
java TrackInfo walk.csv
Note that you can run the program with a suitable command line argument via Gradle:
./gradlew run
This will run the program on the file data/walk.csv.
You can also check whether your program behaves correctly when no filename has been supplied on the
command line, by doing
./gradlew runNoFile
When your program is run on walk.csv, it should generate output very similar to this:
194 points in track
Lowest point is (-1.53637, 53.79680), 35.0 m
Highest point is (-1.54835, 53.80438), 73.6 m
Total distance = 1.904 km
Average speed = 1.441 m/s
Your output doesn’t need to be identical in layout, but it should provide all the data shown here, and numbers
should be formatted with the number of decimal places shown in this example.
If no filename is supplied on the command line, your program should print a helpful error message and then
use System.exit()to terminate, with a value of zero for exit status.
The program should intercept any exceptions that occur when reading from the file or performing computation. The program should print the error message associated with the exception and then use System.exit()
to terminate, with a non-zero value for exit status.
5 Advanced Tasks
For a few extra marks, implement ONE of two options suggested below.
These tasks are more challenging and will require additional reading/research. They are also worth
relatively few marks. Attempt them only if you manage to complete the previous work fairly quickly
and easily.
5.1 Option 1: KML Files
This is worth an additional 2 marks.
1. Add to theTrackclass a new method namedwriteKML. This should have a singleString parameter,
representing a filename. It should write track data to the given file, using Google’s Keyhole Markup
Language format.
2. Edit ConvertToKML.javaand add to it a program that converts a CSV file of track data into a KML
file. The program should expect filenames for these two files as command line arguments, with the
CSV file as the first argument and the KML file as the second argument. It should deal with missing
arguments and exceptions in the same way asTrackInfo.
3. Generate a KML file for the track represented bywalk.csv. You can do this with Gradle, using
./gradlew runKML
This will generate its output in a file walk.kml, in the build subdirectory.
Visualise the file by uploading it to Google Maps (see Figure 2) or by importing it into Google Earth.
Grab a screenshot of the result and place it in the cwk1directory so that it will be included in your
submission.
4
5.2 Option 2: Elevation Plot
This is worth an additional 4 marks.
1. Investigate JavaFX by reading David Eck’s online Java Notes and other online sources.In particular,
you will need to research how charts can be drawn in JavaFX.
2. Edit build.gradle and uncomment the various commented-out parts relating to JavaFX.
3. Edit the file PlotApplication.java and implement in this file a JavaFX application that plots
elevation as a function of distance along a track. As with TrackInfo, the file of track data should be
specified as a command line argument.
You can run your application onwalk.csvvia Gradle, with this command:
./gradlew runPlot
Figure 3 shows an example of what the plot could look like.
6 Submission
Use Gradle to generate a Zip archive containing all the files that need to be submitted:
./gradlew submission
This produces a file named cwk1.zip. Submit this file to Minerva, via link provided for this purpose. You
can find this link in the ‘Assessment and Feedback’ section, under ‘Submit My Work’.
Note: be careful to submit the correct Zip archive here! Make sure you do not accidentally submit the Zip
archive of provided files . . .
The deadline for submissions is 14.00 Wednesday 6th March 2024. The standard university penalty of 5%
of available marks per day will apply to late work, unless an extension has been arranged due to genuine
extenuating circumstances.
Note that all submissions will be subject to automated plagiarism checking.
7 Marking
40 marks are available for this assignment.
A basic solution can earn up to 24 marks (60% of those available); a full solution can earn up to 36 marks
(90% of those available).
Mark allocation breaks down as follows:
18 Tests for basic solution
8 Tests for full solution
4 TrackInfoprogram
4 Advanced task
6 Sensible use of Java and coding style
40
5
Figure 2: A track rendered by Google Maps
Figure 3: Elevation plot produced using Java FX
6
软件开发、广告设计客服
QQ:99515681
邮箱:99515681@qq.com
工作时间:8:00-23:00
微信:codinghelp
热点项目
更多
urba6006代写、java/c++编程语...
2024-12-26
代做program、代写python编程语...
2024-12-26
代写dts207tc、sql编程语言代做
2024-12-25
cs209a代做、java程序设计代写
2024-12-25
cs305程序代做、代写python程序...
2024-12-25
代写csc1001、代做python设计程...
2024-12-24
代写practice test preparatio...
2024-12-24
代写bre2031 – environmental...
2024-12-24
代写ece5550: applied kalman ...
2024-12-24
代做conmgnt 7049 – measurem...
2024-12-24
代写ece3700j introduction to...
2024-12-24
代做adad9311 designing the e...
2024-12-24
代做comp5618 - applied cyber...
2024-12-24
热点标签
mktg2509
csci 2600
38170
lng302
csse3010
phas3226
77938
arch1162
engn4536/engn6536
acx5903
comp151101
phl245
cse12
comp9312
stat3016/6016
phas0038
comp2140
6qqmb312
xjco3011
rest0005
ematm0051
5qqmn219
lubs5062m
eee8155
cege0100
eap033
artd1109
mat246
etc3430
ecmm462
mis102
inft6800
ddes9903
comp6521
comp9517
comp3331/9331
comp4337
comp6008
comp9414
bu.231.790.81
man00150m
csb352h
math1041
eengm4100
isys1002
08
6057cem
mktg3504
mthm036
mtrx1701
mth3241
eeee3086
cmp-7038b
cmp-7000a
ints4010
econ2151
infs5710
fins5516
fin3309
fins5510
gsoe9340
math2007
math2036
soee5010
mark3088
infs3605
elec9714
comp2271
ma214
comp2211
infs3604
600426
sit254
acct3091
bbt405
msin0116
com107/com113
mark5826
sit120
comp9021
eco2101
eeen40700
cs253
ece3114
ecmm447
chns3000
math377
itd102
comp9444
comp(2041|9044)
econ0060
econ7230
mgt001371
ecs-323
cs6250
mgdi60012
mdia2012
comm221001
comm5000
ma1008
engl642
econ241
com333
math367
mis201
nbs-7041x
meek16104
econ2003
comm1190
mbas902
comp-1027
dpst1091
comp7315
eppd1033
m06
ee3025
msci231
bb113/bbs1063
fc709
comp3425
comp9417
econ42915
cb9101
math1102e
chme0017
fc307
mkt60104
5522usst
litr1-uc6201.200
ee1102
cosc2803
math39512
omp9727
int2067/int5051
bsb151
mgt253
fc021
babs2202
mis2002s
phya21
18-213
cege0012
mdia1002
math38032
mech5125
07
cisc102
mgx3110
cs240
11175
fin3020s
eco3420
ictten622
comp9727
cpt111
de114102d
mgm320h5s
bafi1019
math21112
efim20036
mn-3503
fins5568
110.807
bcpm000028
info6030
bma0092
bcpm0054
math20212
ce335
cs365
cenv6141
ftec5580
math2010
ec3450
comm1170
ecmt1010
csci-ua.0480-003
econ12-200
ib3960
ectb60h3f
cs247—assignment
tk3163
ics3u
ib3j80
comp20008
comp9334
eppd1063
acct2343
cct109
isys1055/3412
math350-real
math2014
eec180
stat141b
econ2101
msinm014/msing014/msing014b
fit2004
comp643
bu1002
cm2030
联系我们
- QQ: 9951568
© 2021
www.rj363.com
软件定制开发网!