Handout 7 Loops

Total Page:16

File Type:pdf, Size:1020Kb

Handout 7 Loops p October 30, 2001 ­c Achim Jung and Uday Reddy Handout 7 Loops 1. Using branching to save code. On Handout 5 we saw how by giving the processor control over its program counter we can implement alternative execution paths: flow diagram: machine code: condition branch if positive no yes condition C ½ C C ¾ statement ½ statement branch unconditionally C ¾ By using two branching instructions we can make sure that although machine instructions are lined up linearly, only one C C ¾ of the regions ½ and is executed. From this example, it is easy to see how any flow diagram could be translated into machine code. Branching can also be used to avoid a repetition of code, as in the following examples: infinite loop: while - do loop: loop body loop body condition branch if positive 2. Spaghetti code. In a sense, however, branching is too powerful, because it allows us to write programs which are very intricate and hard to understand. Here is an example: region 1 region 2 The top half looks like an ordinary loop but then from the end of region 2 the program jumps back into the middle of the body of that loop. There is nothing in the design of machine language to preclude such programs. Similarly, the language of flow diagrams also allows arbitrary jumping from one place to another. One speaks of spaghetti code for this “style” of programming. Early programming languages were very close to actual machine code. FORTRAN and BASIC, for example, retain the concept of a numbered list of instructions with jumps from one location to another as the primary control construct. These 1 pg Although later languages (such as ALGOL, PASCAL, C/C++/JAVA) retain some form of goto, its use is now very much discouraged, and widely considered to be unnecessary. In the remainder of this handout I will try to explain why. 3. Structured programming. The drive to oust goto began with a landmark paper by Edsger Dijkstra, one of the most influential people in the development of Computer Science. It is called GOTO statement considered harmful and was published in the Communications of the ACM in 1968. A huge debate began which included most eminent computer scientists of the time. The debate is now widely considered to be resolved, with Dijkstra and his concept of structured programming generally being accepted. Structured programming controls the execution flow through a small number of well-defined constructs, none of which include goto. You already know some of these constructs: Branching This class refers to alternative execution paths. In Java the constructs are called if <condition> <state- ment> else <statement> and switch. Iteration This refers to loops of various shapes. In Java we have three flavours of loops, for, while,anddo - while. Subroutines Java’s “methods” are to to be mentioned here. I will describe the underlying mechanisms on the next handout. Directives This refers to exceptions and breaks. In this handout we concentrate on iterative constructs, that is, on loops. 4. The (idealised) for-loop. The simplest idea to create a loop is to introduce a counter and to iterate for a fixed number of times. Java offers for this purpose the for-loop, which, when used as a counting loop, will take form: for ( <initialisation of counter> ; <end condition> ; <increment> ) statement; Other languages have a more suggestive notation: for counter = <start-value> step <increment> until <end-value> do statement; From a conceptual point of view, the important feature of an idealised for-loop is that as soon as it is entered, it is known how many iterations will be performed. Thus, a for-loop is a safe construct; it can not lead to non-termination. Furthermore, in an idealised for-loop the control variable only exists for the time the loop is active and is only available for reading. Neither should one need to declare it (since it is part of the construct) nor should it exist after the loop has finished. The for-loop in Java does not strictly adhere to these principles. Its effect in terms of machine language is that the various parts of the declaration for (A; B; C) D; are compiled separately and assembled in the order A start: B Branch if false to continue D C Branch to start continue: Whether these parts set up a proper counter-controlled loop is not checked. The parts A, C, and D can be arbitrary statements, B can be an arbitrary condition. 5. The while-loops. The idealised for-loop is not sufficient for all programming purposes. There are a number of short- comings: Æ (a) It can be shown that there are numerical functions (that is, functions from Æ to ) which cannot be programmed using for-loops only. You will hear more about this in the second year module on Models of Computation. 2 gyp For example, in a computation with real (= floating point) numbers you may want to repeat an approximation process until your result is stable up to a certain precision. How many iterations are needed for this may be difficult to determine in advance. (c) There are situations when you repeatedly have to deal with input from some other process (or the keyboard) which is not under your control. Then the number of repetitions is unpredictable by principle. You may even have to repeat forever. A more general programming construct than the for-loop is given by the while-loop. In Java the syntax is while (condition) statement; Its semantics in (meta-)assembly code and as a flowchart is as follows: start: no yes EVALUATE condition condition BRANCH_IF_FALSE cont EXECUTE statement BRANCH start statement cont: ... As is the case for the for-loop, the body of a while-loop may not be executed at all because the test is made before the body is entered. The difference is that a while-loop does not provide an automatic or standard way of ensuring that the loop is ever terminated — it can run forever. 6. Evaluation of Java’s loop constructs. Let us step back and try to evaluate whether Java’s three loop constructs constitute a good choice. Minimality. It is a good thing to have fewer rather than more constructs in a programming language, because a smaller language means that a programmer needs to get familiar with fewer concepts. In my opinion, Java strikes a good balance in this respect, although its set of constructs is not minimal at all, as the following theorem by B¨ohm and Jacobini illustrates: Theorem Every flow diagram can be implemented with if-then-else and while only. The proof is not hard at all and you may want to think about it yourself. Naturality. This is the question whether naturally occurring programming tasks have a direct implementation in Java,or whether some kind of trickery is necessary in certain situation. Let’s look at three possible extensions: Often, an iteration is for a fixed number of rounds only but a counter is not explicitly needed in the body of the loop. For such cases, it would be nice to have a construct of the form: repeat <number> times <statement>; To be forced in such situations to introduce a counter explicitly and to make the right choices about initial value and final value seems distracting. Another often cited example is the problem of reading from a stream. Here we are reading items from some data source until the end of the stream is indicated. The natural flow diagram for such a task seems to be read first data item end + of file? - read next data item 3 )y g p p accepting a certain amount of code repetition: read-first-data-item; while (! end-of-stream) { process-data-item; read-next-data-item; } Finally, it may well be that a loop is controlled by two quite independent conditions. The prime example is searching an array for the first occurrence of a certain value. Such a search should be terminated if either the value is found or the end of the array is reached. The natural flow diagram for this task is setindexto0 end + of array? - item + found? - advance index where we see that we should have the facility of two exit points in the loop. This is quite a tough problem (although one can get around it in practice, as the Theorem by B¨ohm and Jacobini shows.1) Another eminent computer scientist, Donald Knuth, has written a whole paper on it: Structured programming with Go To, Computing Surveys 6, pp. 261– 302. Homework Exercise Sheet 4 Homework exercises (Submit via the correct pigeon hole before next Tuesday, ), 8pm. 1. Write a program in assembly code which finds the largest of three integer values stored in locations a, b,andc and stores the result in location d. (Hint: It will help you to draw a flow diagram first.) 2.GivenanarrayM of size 200, which contains marks of students in a course, design a program fragment to calculate the average mark of all the students. The design should be in the form of Java pseudo-code, not assembly code. 3. Write an assembly program (fragment) which checks whether the value 7 occurs in an array A of integers of length 100. If the value occurs at least once then the program should store the value 1 in an integer location called FOUND.Otherwise,it should store 0 in that location. 4. The Sieve of Eratosthenes is a method to find prime numbers (which are numbers divisible only by 1 and themselves). One writes down all number from 1 to some upper limit (100, say) and then one successively crosses out the multiples of 2, the multiples of 3, the multiples of 4, etc, all the way up to 100.
Recommended publications
  • Introduction: C++ and Software Engineering
    Comp151 Introduction Background Assumptions • This course assumes that you have taken COMP102/103, COMP104 or an equivalent. The topics assumed are: – Basic loop constructs, e.g., for, while, repeat, etc. – Functions –Arrays – Basic I/O – Introduction to classes – Abstract Data Types – Linked Lists – Recursion – Dynamic Objects Why Take This Course You all know how to program, so why take this course? • In COMP104 you essentially only learned “the C part” of C++ and can write “small” C++ programs. • Most of the time you write code that is (almost) the same as code that’s been written many times before. How do you avoid wasting time “re-inventing the wheel”? How do you re-use coding effort? • What if you need to write a large program and/or work with a team of other programmers? How do you maintain consistency across your large program or between the different coders? • In this course you will learn the essence of Object Oriented Programming (OOP). The goal is to teach you how to design and code large software projects. A Short “History” of Computing • Early programming languages (e.g., Basic, Fortran) were unstructured. This allowed “spaghetti code” – code with a complex and tangled structure - with goto’s and gosub’s jumping all over the place. Almost impossible to understand. • The abuses of spaghetti code led to structured programming languages supporting procedural programming (PP) – e.g., Algol, Pascal, C. • While well-written C is easier to understand, it’s still hard to write large, consistent code. This inspired researchers to borrow AI concepts (from knowledge representation, especially semantic networks) resulting in object-oriented programming (OOP )languages (e.g., Smalltalk, Simula, Eiffel, Objective C, C++, Java).
    [Show full text]
  • COBOL-Skills, Where Art Thou?
    DEGREE PROJECT IN COMPUTER ENGINEERING 180 CREDITS, BASIC LEVEL STOCKHOLM, SWEDEN 2016 COBOL-skills, Where art Thou? An assessment of future COBOL needs at Handelsbanken Samy Khatib KTH ROYAL INSTITUTE OF TECHNOLOGY i INFORMATION AND COMMUNICATION TECHNOLOGY Abstract The impending mass retirement of baby-boomer COBOL developers, has companies that wish to maintain their COBOL systems fearing a skill shortage. Due to the dominance of COBOL within the financial sector, COBOL will be continually developed over at least the coming decade. This thesis consists of two parts. The first part consists of a literature study of COBOL; both as a programming language and the skills required as a COBOL developer. Interviews were conducted with key Handelsbanken staff, regarding the current state of COBOL and the future of COBOL in Handelsbanken. The second part consists of a quantitative forecast of future COBOL workforce state in Handelsbanken. The forecast uses data that was gathered by sending out a questionnaire to all COBOL staff. The continued lack of COBOL developers entering the labor market may create a skill-shortage. It is crucial to gather the knowledge of the skilled developers before they retire, as changes in old COBOL systems may have gone undocumented, making it very hard for new developers to understand how the systems work without guidance. To mitigate the skill shortage and enable modernization, an extraction of the business knowledge from the systems should be done. Doing this before the current COBOL workforce retires will ease the understanding of the extracted data. The forecasts of Handelsbanken’s COBOL workforce are based on developer experience and hiring, averaged over the last five years.
    [Show full text]
  • Programming Languages
    Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 General Items: Computer Program • Lab? Ok? • Read the extra credits • A series of instructions that direct a computer to perform tasks • Need to come to class • Such as? Who is the programmer? • Have a quiz / no books / use notes -> What is the big idea • School is almost over • Programming language is a series of rules for writing the instructions • • There are hundreds of computer programs – need-based! Reading Materials: Programming language • - Two basic types: Low- and high-level programming languages Miscellaneous: o Low-level: Programming language that is machine-dependent ° Must be run on specific machines o High-level: Language that is machine-independent ° Can be run on different types of machines Programming Language Low Level High Level Machine Assembly Language Language Procedural Nonprocedural Remember: Ultimately, everything must be converted to the machine language! Object Oriented F.Farahmand 1 / 12 File: lec14chap13f04.doc F.Farahmand 2 / 12 File: lec14chap13f04.doc Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 Categories of programming languages o Nonprocedural language -> Programmer specifies only what the - Machine language program should accomplish; it does not explain how o Only language computer understands directly - Forth-generation language - Assembly language o Syntax is closer to human language than that
    [Show full text]
  • Techniques for Understanding Unstructured Code Mel A
    Association for Information Systems AIS Electronic Library (AISeL) International Conference on Information Systems ICIS 1985 Proceedings (ICIS) 1985 Techniques for Understanding Unstructured Code Mel A. Colter University of Colorado at Colorado Springs Follow this and additional works at: http://aisel.aisnet.org/icis1985 Recommended Citation Colter, Mel A., "Techniques for Understanding Unstructured Code" (1985). ICIS 1985 Proceedings. 6. http://aisel.aisnet.org/icis1985/6 This material is brought to you by the International Conference on Information Systems (ICIS) at AIS Electronic Library (AISeL). It has been accepted for inclusion in ICIS 1985 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact [email protected]. Techniques for Understanding Unstructured Code Mel A. Colter Associate Professor of Management Science and Information Systems College of Business Administration University of Colorado at Colorado Springs P.O. Box 7150 Colorado Springs, Colorado 80933-7150 ABSTRACT Within the maintenance activity, a great deal of time is spent in the process of understanding unstructured code prior to changing or fixing the program. This involves the comprehension of complex control structures. While automated processes are available to structure entire programs, there is a need for less formal structuring processes to be used by practicing profes- sionals on small programs or local sections of code. This paper presents methods for restruc- turing complex sequence, selection, and iteration structures into structured logic. The pro- cedures are easily taught and they result in solutions of reduced complexity as compared to the original code. Whether the maintenance programmer uses these procedures simply for understanding, or for actually re-writing the program, they will,simplify efforts on unstruc- tured code.
    [Show full text]
  • PDF Version for Printing
    SI 413, Unit 9: Control Daniel S. Roche ([email protected]) Fall 2018 In our final unit, we will look at the big picture. Within a program, the “big picture” means how the program flows from line to line during its execution. We’ll also see some of the coolest and most advanced features of modern languages. We’ve talked about many different aspects of computer programs in some detail - functions, scopes, variables, types. But how does a running program move between these different elements? What features control the path of a program’s execution through the code? These features are what constitutes the control flow in a programming language, and different languages support different methods of control flow. The concept of control flow in very early computer languages, and in modern assembly languages, is termed “unstructured” programming and consists only of sequential execution and branches (i.e., goto statements). More modern programming languages feature the control structures that you have come to know and love: selection (if/else and switch statements), iteration (while, for, and for/each loops), and recursion (function calls). 1 Unstructured programming The most basic control flow method is so ingrained in our understanding of how programs work that you might not even notice it: Sequencing is the process by which control flows continually to the next instruction. This comes from the earliest programs, which is still seen in assembly languages today with the program counter (address of the next instruction) that automatically gets incremented by 1 at each execution step. In most programming languages, sequencing happens automatically without any special instructions.
    [Show full text]
  • What Is Spaghetti Code (And Why You Should Avoid It)
    What is Spaghetti Code (And Why You Should Avoid It) Spaghetti code is not an endearing term. It’s a word that describes a type of code that some say will cause your technology infrastructure to fail. Despite the warnings about spaghetti code, many enterprise businesses are faced with issues that involve the set of processes and errors that make up spaghetti coding. This occurs for a number of reasons but can be detrimental to your overall infrastructure, most experts believe. In this article, we’ll talk about spaghetti code as a concept and what it means for your organization. What is Spaghetti Code? Spaghetti code is a pejorative piece of information technology jargon that is caused by factors like unclear project scope of work, lack of experience and planning, an inability to conform a project to programming style rules, and a number of other seemingly small errors that build up and cause your code to be less streamlined overtime. Typically, spaghetti code occurs when multiple developers work on a project over months or years, continuing to add and change code and software scope with optimizing existing programming infrastructure. This usually results in somewhat unplanned, convoluted coding structures that favor GOTO statements over programming constructs, resulting in a program that is not maintainable in the long-run. For businesses, creating a program only to have it become unmaintainable after years of work (and money) has gone into the project costs, IT managers, and other resources. In addition, it makes programmers feel frustrated to spend hours on coding an infrastructure only to have something break, and then they have to sift through years of work, often managed by different developers, to identify the issue, if they can solve it at all.
    [Show full text]
  • Generalized Structured Programs and Loop Trees Ward Douglas Maurer∗
    Science of Computer Programming 67 (2007) 223–246 www.elsevier.com/locate/scico Generalized structured programs and loop trees Ward Douglas Maurer∗ Computer Science Department, George Washington University, Washington, DC 20052, USA Received 22 September 2005; received in revised form 1 November 2006; accepted 21 February 2007 Available online 13 April 2007 Abstract Any directed graph, even a flow graph representing “spaghetti code”, is shown here to have at least one loop tree, which is a structure of loops within loops in which no loops overlap. The nodes of the graph may be rearranged in such a way that, with respect to their new order, every edge proceeds in the forward direction except for the loopbacks. Here a loopback goes from somewhere in a loop L to the head of L. We refer to such a rearrangement as a generalized structured program, in which forward goto statements remain unrestricted. Like a min-heap or a max-heap, a loop tree has an array representation, without pointers; it may be constructed in time no worse than O(n2) for any program written in this fashion. A scalable version of this construction uses a label graph, whose only nodes are the labels of the given program. A graph has a unique loop tree if and only if it is reducible. c 2007 Elsevier B.V. All rights reserved. Keywords: Generalized structured program; GSP; Loop trees; Reducible graphs; Overlapping loops; Strongly connected components 1. Introduction There exist today many variants on the idea of a structured program. B¨ohm and Jacopini [8] consider programs which are decomposable into Π , Φ,andΔ (in other words, sequencing, if -then-else,andwhile loops); these programs contain no goto logic at all, except what is implied by the constructions Φ and Δ.
    [Show full text]
  • Structured Programming
    Structured Programming Mr. Dave Clausen La Cañada High School I. What is programming? A computer can only carry out a small number of instructions or simple calculations. A computer can only solve the problem if it is broken down into smaller steps. 2 II. What is Structured programming? An attempt to formalize the logic and structure of programs. (i.e.) Procedure Bubble_Sort (Var Original, Duplicate, Sorted : ListType); {Pre: The array is filled with ramdom numbers. Post: The numbers will be sorted.} Var Element, Index : Integer; Begin WriteLn ('Sorting...'); For Element := 1 to MaxEntries do For Index := MaxEntries downto (Element+1) do If Original[Index] < Original[Index-1] Then Swap (Original[Index], Original[Index-1]); Create_Sorted(Original, Sorted); Recreate_Original(Original, Duplicate); Pause End; {Bubble} 3 III. What is the Purpose of Structured Programming? To make computer programs – Easier to read – Easier to debug – Easier to understand – Easier to maintain To allow programmers to work as a team 4 Purpose 2 To reduce testing time To increase programming productivity To increase clarity by reducing the programs’ complexity To decrease maintenance and effort 5 IV. Why is this special programming necessary? Programming in the 60's: "fiddling" with the program until it worked. Spaghetti Code "Spaghetti Code" Spaghetti Code.txt 5 REM SPAGHETTI CODE 10 GOTO 40 20 PRINT “THIS IS AN EXAMPLE” 30 GOTO 70 40 GOTO 20 50 PRINT “OF SPAGHETTI CODE” 60 GOTO 80 70 GOTO 50 80 END 6 Avoid using GOTO statements Edger W. Dijkstra 1968 “The GOTO statement should be abolished from all higher level programming languages…” “…The GOTO statement is just too primitive; it is too much of an invitation to make a mess of one’s program.” Mr.
    [Show full text]
  • Structured Programming.Sample
    PAPER NO. CT 33 SECTION 3 CERTIFIED INFORMATION COMMUNICATION TECHNOLOGISTS (CICT) STRUCTURED PROGRAMMING STUDY TEXT www.masomomsingi.co.ke Contact 0728 776 317 1 KASNEB SYLLABUS STRUCTURED PROGRAMMING GENERAL OBJECTIVE This paper is intended to equip the candidate with the knowledge, skills and attitude that will enable him/her to apply the structured programming approach to develop programs LEARNING OUTCOMES A candidate who passes this paper should be able to; Analyse a problem and design an appropriate solution Write codes using C programming language Test and debug a structured program code Produce documentation, both user and technical, to support programs. CONTENT 1. Introduction to structured programming Introduction to programming languages Types of programming languages Generations of programming languages Programming approaches Language translators Basic concepts of structured programming Problem definition, structure and design Integrated development environment (IDE) 2. Programming basics Variables and data types Input/output statements Assignments Namespaces Comments Pre-processor directives Expressions and operators Control structures Writing and running a simple program 3. Functions/sub-programs Functions verses procedures Parameter passing Recursion Calling procedures Argument naming Event procedures Testing and debugging errors Writing and running a program using functions and procedures 2 www.masomomsingi.co.ke Contact 0728 776 317 4. Data structures Arrays Pointers Linked lists Unions
    [Show full text]
  • Statement Level Control Structures
    Chapter 8 Topics Chapter 8 • Introduction • Selection Statements • Iterative Statements • Unconditional Branching Statement-Level • Guarded Commands Control Structures • Conclusions Levels of Control Flow Evolution of Control Statements – Within expressions • FORTRAN I control statements were based – Controlled by operator precedence and associativity directly on IBM 704 hardware – Among program units • Much research and argument in the 1960s – Function call and concurrency about the issue – Among program statements – One important result: It was proven that all algorithms represented by flowcharts can be coded – Control statements and control structures with only two-way selection and pretest logical loops (Bohm and Jacopini, Structured Programming Theorem, 1966) – Any language with these features is “Turing- complete” – can compute anything that is computable Goto Statement Control Structures • At the machine level we really have only • A control structure is a control statement and conditional and unconditional branches (or the statements whose execution it controls gotos) • Programmers care more about readability and • Using conditional gotos we can create any kind writ ability than theoretical results of selection or iteration structure – While we can build very small languages and/or use • But undisciplined use of gotos can create very simple control structures, we would like to an spaghetti code expressive language with readable code – Languages often provide multiple control structure for iteration and selection to aid readability
    [Show full text]
  • Chapter 3: Understanding Structure Chapter Contents Book Title: Programming Logic and Design Printed By: Ronald Suchy ([email protected]) © 2013
    Chapter 3: Understanding Structure Chapter Contents Book Title: Programming Logic and Design Printed By: Ronald Suchy ([email protected]) © 2013 , Chapter 3 Undertanding Structure Chapter Introduction 3-1 The Disadvantages of Unstructured Spaghetti Code 3-2 Understanding the Three Basic Structures 3-3 Using a Priming Input to Structure a Program 3-4 Understanding the Reasons for Structure 3-5 Recognizing Structure 3-6 Structuring and Modularizing Unstructured Logic 3-7 Chapter Review 3-7a Chapter Summary 3-7b Key Terms 3-7c Review Questions 3-7d Exercise Chapter 3: Understanding Structure Chapter Introduction Book Title: Programming Logic and Design Printed By: Ronald Suchy ([email protected]) © 2013 , Chapter Introduction In this chapter, you will learn about: The disadvantages of unstructured spaghetti code The three basic structures—sequence, selection, and loop Using a priming input to structure a program The need for structure Recognizing structure Structuring and modularizing unstructured logic Chapter 3: Understanding Structure: 3-1 The Disadvantages of Unstructured Spaghetti Code Book Title: Programming Logic and Design Printed By: Ronald Suchy ([email protected]) © 2013 , 3-1 The Diadvantage of Untructured Spaghetti Code Professional business applications usually get far more complicated than the examples you have seen so far in Chapters 1 and 2. Imagine the number of instructions in the computer programs that guide an airplane’s flight or audit an income tax return. Even the program that produces your paycheck at work contains many, many instructions. Designing the logic for such a program can be a time-consuming task. When you add several thousand instructions to a program, including several hundred decisions, it is easy to create a complicated mess.
    [Show full text]
  • Spaghetti Code
    programming lore Spaghetti code WHAT IS SPAGHETTI CODE? Much of the programming prior to 1970 was what is now considered unstructured. It is often synonymous with the pejorative term spaghetti code, meaning source code with a complex and tangled control structure. Languages such as Fortran were heavily reliant on programming structures such as goto, which provided much of their control framework. It provided jumps from one part of the program to another part - often in an extremely unstructured manner. By the mid-1960s, programming pioneers such as Edsger W. Dijkstra were starting to become concerned about programming clarity, correctness and structure. He contended that modular, goto-less programs are more easily created and understood by humans. In 1968 Dijkstra published a letter, “Go To statement considered harmful” in which he condemned the indiscriminate use of the goto statement [1]. One statement stands out: “The go to statement as it stands is just too primitive, it is too much an invitation to make a mess of one’s program”. Instead he advocated the use of procedures, and conditional and repetition for program control. Fortran may have been one of the greatest offenders when it came to spaghetti code due to all the control structures which relied on jumping a label. Fortran contained the DO looping structure, the computed GO TO, the unconditional branch, the assigned GO TO, and the arithmetic if. One of the worst offenders may be the ability to use a goto to enter and leave a still executing do loop. Consider the small piece of code below, which was once legal (now the compiler will throw a warning, but still compile.
    [Show full text]