extra_credit_lab : Statistician as a C++ Abstract Data Type (ADT)

num ready? description assigned due
extra_credit_lab true Statistician as a C++ Abstract Data Type (ADT) Thu 11/07 12:00AM Thu 12/05 11:59PM

extra_credit_lab must be done individually—each student must accomplish it alone and submit it.

Create a git repo and obtain the starter code

  • Create a git repo named extra_credit_lab_your_github_username in our class organization, ucsb-cs24-f19-nichols.

  • Clone your repo on CSIL in your home directory.

  • Get the starter code : If you have already cloned the cs24-f19-starter-code change into it and type git pull to get the latest starter code.

  • Change into your repo directory and obtain copy the starter code by typing the following command

     cp ~/cs24/cs24-f19-starter-code/extra_credit_lab/* ./
    
    

Assignment instructions

Files to submit: stats.h, stats.cpp stattest.cpp and a Makefile

This assignment is based on Chapter 2, Programming Project 2 and 3 (here is a local copy of page 90. Follow the instructions on this web page, not the ones on page 90 - but do see the hints provided by the textbook author.

  1. Type your name and the date in a comment at the top.(Like always, whether or not we remind you!)

  2. Write unit tests in the file: unittests.cpp This code should test each of the public interfaces and non member functions of your class and follow the structure described in lecture 4.

  3. Complete the incomplete definition of class statistician as provided in stats.h header file. In particular you must reason about the attributes of the statistician. Define the private member variables.

  4. Write a Makefile to compile your code with both the test files.

  5. Implement the constructor, all the member functions, and all three non-member functions. Note that a subset of the non-member functions should be declared as friend functions (friend function grant you access to statisticians’ private fields, and you won’t have to define additional getters and setters). Read the documentation for each of these functions at the top of stats.h, and make sure your implementations work as advertised in those comments - i.e., satisfy all of the postconditions.

  6. Submit the files for extra_credit_lab on gradescope: stats.h, stats.cpp, stattest.cpp, unittests.cpp, Makefile. Be sure to wait for the results of all tests. If you score 80/80, and you’ve followed all of the other rules, then you’ll earn 80/80. The additional 20 points will be manually graded for writing appropriate test code, and Makefile, and good coding style.

Some hints:

  • Use assert to verify the pre-conditions of functions mean, minimum and maximum.

  • Compile and test your program at CSIL (connecting remotely is okay).