EECE 310 Software Engineering Modular Decomposition Abstraction and

EECE 310: Software Engineering Modular Decomposition, Abstraction and Specifications

Decomposition • Goal: Create small programs that interact with one another in simple, well-defined ways, to reduce complexity • Criteria for good decomposition 1. Sub-problems at the same level of detail 2. Each can be solved independently 3. Can be combined to solve the original problem 2

Decomposition Example Large Unsolved Problem SP 1 SP 2 SP 3 SP 4 Combined solution SP 5 SP 6 3

What often happens in practice ? Large Unsolved Problem SP 1 SP 4 SP 5 SP 2 SP 3 SP 7 Combined solution ? SP 9 4

Learning Objectives • Define abstraction and types of abstraction • Write specifications in the standard format • Write precise specifications that are sufficiently restrictive, but not too restrictive • Differentiate between “good” and “bad” specifications • Develop implementations to satisfy a specification 5

Abstraction • A way to do decomposition productively • Definitions: – Application of many-to-one mapping – Simplification of the problem that hides irrelevant details, characteristics – Grouping of related entities into distinct categories without worrying about the details 6

Abstraction Kinds 1. By Parameterization – Abstracts from the identity of the data 2. By Specification – Abstracts from implementation details to the behavior users can depend on – Isolates modules from one another’s implementations – Provides a clear contract between the user and the implementer of module 7

Abstraction by Parameterization • Write the procedure once, but change its parameters – Generalizes modules so they can be used many times – Fundamental technique used in programming • Example: Recipe for making pasta (Serves 2 people) – – – Step 1: Boil 2 cups of water in a sauce-pan Step 2: Add 6 cups of pasta when water comes to a boil Step 3: Sautee 5 grams of vegetables in an another pan Step 4: Mix the sauteed vegetables with the cooked pasta Step 5: Add pasta sauce, cheese and salt to taste • But, what if we wanted to make pasta for 5 people ? – Should we develop a new recipe from scratch ? 8

Abstraction by Specification • Hide implementation details of a module and focus instead on what it does (rather than how it does it) – Specify the behavior that module’s users can depend on – Can generalize across multiple implementations – Change module’s behavior without changing its usage • Example: Recipe for making pasta (Serves 2) – – – Step 1: Boil 2 cups of water in a sauce-pan Step 2: Add 6 cups of pasta when water comes to a boil Step 3: Sautee 5 grams of vegetables in an another pan Step 4: Mix sauteed vegetables with the cooked pasta Step 5: Add pasta sauce, cheese and salt to taste 9

Benefits of Abstraction by Specification 1. Locality -- the implementation of an abstraction can be read or written without needing to examine the implementations of any other abstractions. 2. Modifiability -- an abstraction can be reimplemented without requiring changes to any abstractions that use it. 10

Learning Objectives • Define abstraction and types of abstraction • Write specifications in the standard format • Write precise specifications that are sufficiently restrictive, but not too restrictive • Differentiate between “good” and “bad” specifications • Develop implementations to satisfy a specification 11

Specification • Tells the client of an abstraction what the client is expected to do • Tells the implementer of an abstraction what implementation must do to satisfy the client • Contract between client and implementer – Client will rely on behavior in specification – Implementer only needs to provide this behavior – Implementer is free to change implementation 12

Specifications: Formal Vs Informal Formal Specs Informal Specs • Written in a mathematically precise language • Have only one meaning or a finite set of meanings • Can be understood by humans and machines • Automated tools can check code against specifications • Written in an informal language (English) • Have different meanings depending on the reader • Can be understood only by humans (for the most part) • Manual effort needed to check code against specs In this class, we will write informal specifications, but you will write formal specs in 13

Recipes: Analogy • A good specification is like a recipe and has the following components: – What is being done ? – What is required ? – How to do it ? – Are there things that one needs to look for ? – Any other things to note • Recipes are written in a standard format defined by the Chefs association 14

How to write procedural specifications ? • Choose a name for the procedure that is descriptive • Procedural specifications should consist of: – REQUIRES: What does the procedure need ? – MODIFIES: What data does the procedure modify ? – EFFECTS: What does the procedure produce at the end ? • The code for the procedure is not part of its specification, but must match the specification 15

Procedural Specifications - 1 • Factorial: Fact(n) = 1 * 2 *3 …. * n * (n- 1) static int Fact(int n) { // EFFECTS: Returns the factorial of n // where fact(n) = 1 * 2 * … * n // REQUIRES: n >= 0 // MODIFIES: None (this can be dropped) … } 16

Procedural Specifications – 2 (Multiple Implementations) Using Iteration Using recursion public static int fact(int N ) { int result = 1; public static int fact(int N) { int result; if (N==0) result = 1; else result = N * fact(N – 1); for (int i =1; i<=N; i++) { result = result * i; } } return result; Both implementations have the same behavior. (Is this always true ? Can you see any difference 17

Learning Objectives • Define abstraction and types of abstraction • Write specifications in the standard format • Write precise specifications that are sufficiently restrictive, but not too restrictive • Differentiate between “good” and “bad” specifications • Develop implementations to satisfy a specification 18

Sorting Routine: Informal Spec • Take an array as argument, sort it in place • What kind of arrays do we want to handle ? – Arrays of ints (primitive type) – Array should be non-null (or maybe not) – No need to say that array elements are non-null (implied by first clause)

REQUIRES clause • Should only capture the requirements on array that are not implied by the type signature – Do not need to say anything about the types of the arguments, unless they cannot be inferred – Do not mention the return type of the procedure public static void sort( int[] a ) { // REQUIRES: Array a not be Null }

MODIFIES Clause • Modifies clause only specifies what objects (on heap) are modified by the procedure – Does not include return value of procedure – Does not say anything about how it is modified public static void sort( int[] a ) { // REQUIRES: Array a not be Null // MODIFIES: Array a

EFFECTS Clause • Specifies what the EFFECT of the procedure is – Include both return value and heap objects – Include any exceptions thrown by the procedure – Must say how the modifications are made public static void sort( int[] a ) { // REQUIRES: Array a not be Null // MODIFIES: Array a // EFFECTS: Rearranges the elements of a in // ascending order (i. e. , lowest to highest)

Group Activity • Write a specification for the sort program that sorts an array of String objects (in alphabetical order) public static void sort( String[] a ) { // REQUIRES: // MODIFIES: // EFFECTS:

Solution: Group Activity • The array may contain null objects – Need to put this in the REQUIRES clause public static void sort( String[] a ) { // REQUIRES: a is not NULL && // Elements of a are not NULL // MODIFIES: Array a // EFFECTS: Re-arranges the elements of array a // in alphabetical order (i. e. , lowest to highest) // Uses String. compare. To for determining order 24

Learning Objectives • Define abstraction and types of abstraction • Write specifications in the standard format • Write precise specifications that are sufficiently restrictive, but not too restrictive • Differentiate between “good” and “bad” specifications • Develop implementations to satisfy a specification 25

Procedural Specifications: Example 1 public class Vectors { //OVERVIEW: Provides useful standalone procedures // for manipulating vectors public static void remove. Duplicates ( Vector v ) { // REQUIRES: No element of vector v is null // MODIFIES: v // EFFECTS: Removes all duplicate elements from v; // uses equals method to determine duplicates. // The order of the remaining elements may change } } 26

Procedural Specification: Example 2 • Does the following implementation satisfy the specification ? public static void remove. Duplicates ( Vector v ) // REQUIRES: No element of vector v is null // MODIFIES: v // EFFECTS: Removes all duplicate elements from v; // uses equals method to determine duplicates. // The order of the remaining elements may change v. clear(); } 27

Procedural Specifications: Example 4 public class Vectors { //OVERVIEW: Provides useful standalone procedures // for manipulating vectors } public static void remove. Duplicates ( Vector v ) { // REQUIRES: No element of vector v is null // MODIFIES: v // EFFECTS: Removes all duplicate elements from v; // uses the equals method to determine duplicates. // The order of the remaining elements may change // but the set of elements formed by the new vector is // identical to the set of elements formed by the old one } 28

What’s the problem ? • The original specification was too weak – Any implementation could satisfy it, even incorrect ones – The specification should be sufficiently restrictive to allow only correct implementations – If it is important to you, then write it down • From the point of view of the client • Make sure you can use the specification

Remember … • Specifications are many-to-one mappings – Many implementations may satisfy a specification – But some may be wrong because the specification is not restrictive enough ! • A specification is like a contract. If the implementer can get away by doing less and yet satisfy the specification, they may choose to ! – It is your responsibility to put it in the specification 30

Learning Objectives • Define abstraction and types of abstraction • Write specifications in the standard format • Write precise specifications that are sufficiently restrictive, but not too restrictive • Differentiate between “good” and “bad” specifications • Develop implementations to satisfy a specification 31

What makes a good specification ? • Sufficiently restrictive • Minimally constraining • Clear – no room for ambiguity These guidelines are necessarily vague, so let us see some examples 32

Sufficiently Restrictive public static int search (int[] a, int x) // REQUIRES: a is not null // EFFECTS: Examines each of a[0], a[1], . . . , in order and returns the index of the element that equals to x. What’s wrong with the above specification ? 1. What if there is more than one element equal to x ? 2. What if there is no element equal to x ? How will you fix these issues ? 33

Minimally Constraining • Do you really care that the procedure examines each element in turn ? • Also, do you need the first element that equals x ? • Precludes non-linear implementations such as binary search public static int search (int[] a, int x) // REQUIRES: a is not null // EFFECTS: Examines each of a[0], a[1], . . . , in some order and // // returns the index of an element that equals to x. If no such element is found, it returns - 1 34

Clarity • The above specification is NOT clear. Do we return an element whose index is x, or do we return the index of an element that equals x. This is the problem with natural language. So we need to be more clear. public static int search (int[] a, int x) // REQUIRES: a is not null // EFFECTS: Examines each of a[0], a[1], . . . , in some order and // returns the index of an element that equals to x. // // i. e. , returns an i, such that a[i] = x and 0 <=i <a. length if no such element is found, it returns -1. Note the use of i. e. to indicate redundancy 35

Learning Objectives • Define abstraction and types of abstraction • Write specifications in the standard format • Write precise specifications that are sufficiently restrictive, but not too restrictive • Differentiate between “good” and “bad” specifications • Develop implementations to satisfy a specification 36

Implementation • Do NOT handle cases in the REQUIRES clause – EFFECTS clause is satisfied only if REQUIRES holds • Do NOT modify entities not in MODIFIES clause • Do only what the EFFECTS clause says, no more – Clients should rely upon specification, not implementation – If EFFECTS clause is underspecified, then it’s a problem in the specification and needs to be fixed 37

Group Activity - 1 • Develop implementation for the specification below (write legibly on a separate sheet) public static int search (int[] a, int x) // REQUIRES: a is not null // EFFECTS: Examines each of a[0], a[1], . . . , in any order // // and returns the index of an array element that equals to x. If no such element is found, returns -1. 38

Group Activity - 2 1. Write a procedure “count” that uses the specification of “search” to count the number of occurrences of a given element in the array. Note that you may not modify the original array in any way. 2. Take an implementation of search from the class. Does your implementation of count match with the search implementation ? 39

To do before next class • Read Chapters 1, 3 and 9 in the textbook • Try exercises 3. 1 to 3. 4 and 3. 7 • Attempt Assignment 1 on class webpage – Learn Java NOW if you haven’t started yet ! – Prepare for quiz 1 on Java 40