Motivating Problem Whenever the display feature is called, retrieve the current values of temperature, humidity, and/or pressure via the weather data reference. 3 of 36 Implementing the First Design (1) class WEATHER_DATA create make feature — Data temperature: REAL humidity: REAL pressure: REAL feature — Queries correct_limits(t,p,h: REAL): BOOLEAN ensure Result implies -36
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Abstract Classes and Interfaces EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG Abstract Class (2) public abstract class Polygon { double[] sides; Polygon(double[] sides) { this.sides = sides; } void grow() { for(int i = 0; i < sides.length; i ++) { sides[i] ++; } } double getPerimeter() { double perimeter = 0; for(int
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Generics EECS3311 M: Software Design Winter 2019 CHEN-WEI WANG Motivating Example: A Book of Any Objects class BOOK names: ARRAY[STRING] records: ARRAY[ANY] — Create an empty book make do … end — Add a name-record pair to the book add (name: STRING; record: ANY) do … end — Return the record associated with a given
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Test-Driven Development (TDD) with JUnit EECS2030 B: Advanced Object Oriented Programming Fall 2019 CHEN-WEI WANG Motivating Example: Two Types of Errors (2) Approach 1 – Specify: Indicate in the method signature that a specific exception might be thrown. Example 1: Method that throws the exception Example 2: Method that calls another which throws the exception
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Two-Dimensional Arrays EECS1022: Programming for Mobile Computing Winter 2018 CHEN-WEI WANG 2-D Arrays: Motivating Example (2.1) Here is a solution based on what we’ve learnt so far: ● Fix the “positions” of cities in the table as constants: ● Represent each (horizontal) row using a one-dimensional array: ● Given an itinerary {Boston, Chicago, Miami, Houston},
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Asymptotic Analysis of Algorithms EECS2030 B: Advanced Object Oriented Programming Fall 2019 CHEN-WEI WANG Measuring “Goodness” of an Algorithm 1. Correctness : ○ Does the algorithm produce the expected output? ○ Use JUnit to ensure this. 2. Efficiency: ○ Time Complexity: processor time required to complete ○ Space Complexity: memory space required to store data
Program Correctness OOSC2 Chapter 11 EECS3311: Software Design Fall 2017 CHEN-WEI WANG Weak vs. Strong Assertions ● Describe each assertion as a set of satisfying value. x > 3 has satisfying values {4,5,6,7,…} x > 4 has satisfying values {5,6,7,…} ● An assertion p is stronger than an assertion q p’s set of satisfying values
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Generics EECS3311: Software Design Fall 2017 CHEN-WEI WANG Motivating Example: Observations (1) ● In the BOOK class: ○ In the attribute declaration records: ARRAY[ANY] ● ANY is the most general type of records. ● Eachbookinstancemaystoreanyobjectwhosestatictypeisa descendantclass ofANY. ○ Accordingly, from the return type of the get feature, we only know that the returned record has
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Wrap-Up EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG What You Learned (1) Procedural Programming in Java X Utilities classes X Recursion (implementation, running time, correctness) Data Structures X Arrays X Maps and Hash Tables X Singly-Linked Lists X Stacks and Queues X Binary Trees 2 of 8 What You Learned (2) Object-Oriented Programming
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Asymptotic Analysis of Algorithms EECS2030 B: Advanced Object Oriented Programming Fall 2018 CHEN-WEI WANG Algorithm and Data Structure ● A ○ A systematic way to store and organize data in order to facilitate access and modifications ○ Never suitable for all purposes: it is important to know its strengths and limitations ● A well-specified computational