• COMP1721 Object-Oriented Programming



    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 WX:codehelp 

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  • 原文地址:https://blog.csdn.net/areyousure7/article/details/136220670