ifs considered Harmful

Size: px
Start display at page:

Download "ifs considered Harmful"

Transcription

1 ifs cosidered Harmful Or; how to elimiate 90% of your bugs ad 99% of your techical debt i oe easy step. Jules May JulesMay.co.uk

2 Codebase survey Bugs: all ~2.5 millio lies 5 years developmet 6-25 developers Bugs: primary Bugs: secodary

3 goto cosidered harmful EWD 215: A case agaist the goto statemet (1968) Edsger Wybe Dijkstra ( ) Goto statemet cosidered harmful, Commu. ACM 11 (1968), 3:

4 goto cosidered harmful - why? What a program looks like: Static map Spatial - locatios What a program meas: Dyamic process Temporal - istats Executio coordiate

5 Executio coordiate 10: a=10; 11: b=20; 12: c=a+b; 13: prit (c); 14: d=sqrt (c); 15: ed;

6 Executio coordiate 10: a=10; 11: b=20; 12: c=a+b; 13: prit (c); 14: d=sqrt (c); 15: ed; Rt:9178: Rt:9179: Rt:9180: Rt:4124: Rt:4126: Rt:4125: Rt:4128: Rt:4127: 10: 11: 12: 13: 14: 15:

7 Executio coordiate 10: a=10; 11: for b=(1..3) { 12: c=a+b; 13: prit (c); 14: d=sqrt (c); 15: 13: 14: 12: 11(1): 11(2): 11(3): 15: 10:

8 Executio coordiate - fail? 10: a=9;b=-10 11: if b=11 goto 18; 12: b=b+1; 13: if b>12 goto 10; 14: c=a+b; 15: if c<0 goto 11; 16: prit c; 17: d=sqrt (c); 18: goto 12; 19: ed; 10: 11: 12: 13: 14: 15: 16: 17: 18: 19:

9 Executio coordiate - take-away Coordiate is tuple of (locatio or repetitio) q e.g. [11(2), 13, Rt:4126] Shows us (for structured code): q Locatio i code q Momet i executio time q Etire history leadig up to that momet. Not all gotos violate structure : q retur, cotiue, break q loops q assembler

10 Executio coordiate - the problem 10: for b=(-1..1) { 11: if (b<0) 12: prit (GORED); 13: else 14: prit (GOBLUE); 15: prit (b); 16: if (b<0) 17: prit ( DR\ ); 18: else 19: prit ( CR\ ); 20:

11 Executio coordiate - the problem 10: for b=(-1..1) { 11: if (b<0) 12: prit (GORED); 13: else 14: prit (GOBLUE); 15: prit (b); 16: if (b<0) > 17: 18: prit ( DR\ ); else 19: prit ( CR\ ); 20: 10: for b=(-1..1) { 11: if (b<0) { 12: prit (GORED); 13: prit (b); 14: prit ( DR\ ); 13: else { 14: prit (GOBLUE); 15: prit (b); 16: prit ( CR\ ); 19: 20:

12 Executio coordiate - summary goto Destroys temporal idetity Destroys history Creates flow spaghetti if..if Coflates temporal idetity Destroys history Creates flow wormholes Imply goto from code structure Not all gotos are evil Imply decisio from code structure Not all coditios are evil

13 ifs cosidered harmful Need a ew otio of if-structure : q Coditios are cocetrated q Decisios are implied Need ew mechaisms for if q Do t overstay your welcome q Specialist classes & dowcastig Need to express those i covetioal laguages

14 ifs cosidered harmful Assert

15 ifs cosidered harmful- assert float sqrt (a) { assert (isnumeric (a)) or error ( Numeric type required ); assert (a>=0) or error throw () DomaiError ( ); r = // do some computatio o a retur r; Priciple: ot to cotrol the flow, but to abort it. Species: assert ( ) or error (); -- Geerate compile-time error (if possible) assert ( ) or retur (); -- retur default value or ull object assert ( ) or throw ; -- refuse to process; cotract violatio assert ( ) or die (); -- do shutdow or recovery process

16 ifs cosidered harmful- assert I practice: It s easy: q if (!coditio) throw ; assert () or error eeds compiler support.

17 ifs cosidered harmful Do t overstay your welcome

18 ifs cosidered harmful - Values umber fact (umber ) { if (==1) retur 1; else retur *fact(-1); fact (1)=1; fact (umber )=*fib(-1); fact (strig s)= Ca t fact +s; strig fact (strig s) { retur Ca t fact + s;

19 ifs cosidered harmful - Values for b=(-1..1) { if (b<0) prit (GORED); else prit (GOBLUE); prit (b); if (b<0) prit ( DR\ ); else prit ( CR\ ); for b=(-1..1) { prit fmt (b); strig fmt (umber b<0){ retur GORED + b + DR\ ; strig fmt (umber b){ retur GOBLUE + b + CR\ ; strig fmt (umber b=0){ retur GOBLACK + il\ ;

20 ifs cosidered harmful - Values I practice: Do coditios before aythig else, q e.g. fact example Use ordiary polymorphism over specialist classes q e.g. fmt (plusmoey (b)) { ; Use Haskell!

21 ifs cosidered harmful Specialists

22 ifs cosidered harmful - specialists class littleclass { class bigclass { littleclass c = ull; bigclass () { // ctor. might set c; bigmethod () { if (isnull (c)) { // do somethig else { // do somethig similar ivolvig c;

23 ifs cosidered harmful - specialists littleclass c = 4; -- meas: c = littleclass (4); littleclass c = ull; -- meas c = ull; -- should mea: c = littleclass (ull); Null poiter No iterface at all Needs if!isnull() o each use All uses must be checked at rutime Null object Exposes the class iterface Ca be used aively All uses ca be checked at compile time

24 ifs cosidered harmful - specialists class littleclass { class bigclass { littleclass c = littleclass ull; -- ow (ull); meas: c = littleclass (ull); bigclass () { // ctor. might set c; bigmethod () { if (isnull (c)) { // do somethig else { // do somethig ivolvig c

25 ifs cosidered harmful Specialists ad dowcasts

26 ifs cosidered harmful - dowcasts Every method has a implied coditio: if (this.isistaceof (thisclass)) { class littleclass { private littleclass () { // declaratios // littleclass methods () -> littlenull (); littleclass (it k) -> littleit (k); littleclass (object obj) -> littlethig (obj); class littlenull:littleclass { littlenull () { //ctor // implemetatios class littleit:littleclass { littleit (it k) { //ctor // implemetatios class littlethig:littleclass { littlethig (object obj) { // implemetatios

27 ifs cosidered harmful - dowcasts for b=(-1..1) { if (b<0) prit (GORED); else prit (GOBLUE); prit (b); if (b<0) prit ( DR\ ); else for b=(-1..1) { prit (moey (b)); class moey:umber { //strig umber:tostrig () iherited private moey (umber ()) { private prit class ( CR\ ); plusmoey:moey { tostrig () { retur GOBLUE + :tostrig() + CR\ ); private class miusmoey:moey { tostrig () { retur GORED + :tostrig() + DR\ ); moey (umber ) -> >=0? plusmoey () : miusmoey ();

28 ifs cosidered harmful - dowcasts I practice: Use abstract base classes with static factory methods, q e.g. x=myclass:ew ( ); Expose the subclasses directly q e.g. moey b = plusmoey (4); Precompile q e.g. abstract dowcastable class myclass { ; ew myclass( ) -> myclass:factory ( )

29 ifs cosidered harmful - Summary goto is harmful. It causes spaghetti code, which is ureliable. Actually, it was always if that was harmful. It causes wormhole code, which is ureliable.

30 ifs cosidered harmful - Summary The atidote to goto is flow-structure Structured laguages replace goto with: q for q while q throw The atidote to if is decisio-structure A decisio-structured laguage would replace if with: q assert () or q value-polymorphism q dowcasts

31 ifs cosidered harmful - Summary If you re careful, you ca do structured programmig with gotos. If you re careful, you ca do decisiostructured programmig with ifs q while you re waitig for laguage techology to catch up.

32 Take-aways (Misuse of) if causes more bugs tha all other causes combied. This should t be ews it s goto all over agai; We eed decisio-structured laguage costructs; I the meatime, good programmig hygiee helps.

33 ifs cosidered harmful Questios? Bugs: primary Bugs: secodary JulesMay.co.uk

CS 11 C track: lecture 1

CS 11 C track: lecture 1 CS 11 C track: lecture 1 Prelimiaries Need a CMS cluster accout http://acctreq.cms.caltech.edu/cgi-bi/request.cgi Need to kow UNIX IMSS tutorial liked from track home page Track home page: http://courses.cms.caltech.edu/courses/cs11/material

More information

Exceptions. Your computer takes exception. The Exception Class. Causes of Exceptions

Exceptions. Your computer takes exception. The Exception Class. Causes of Exceptions Your computer takes exceptio s s are errors i the logic of a program (ru-time errors). Examples: i thread mai java.io.filenotfoud: studet.txt (The system caot fid the file specified.) i thread mai java.lag.nullpoiter:

More information

Inductive Definition to Recursive Function

Inductive Definition to Recursive Function PDS: CS 11002 Computer Sc & Egg: IIT Kharagpur 1 Iductive Defiitio to Recursive Fuctio PDS: CS 11002 Computer Sc & Egg: IIT Kharagpur 2 Factorial Fuctio Cosider the followig recursive defiitio of the factorial

More information

CMPT 125 Assignment 2 Solutions

CMPT 125 Assignment 2 Solutions CMPT 25 Assigmet 2 Solutios Questio (20 marks total) a) Let s cosider a iteger array of size 0. (0 marks, each part is 2 marks) it a[0]; I. How would you assig a poiter, called pa, to store the address

More information

Recursion. Computer Science S-111 Harvard University David G. Sullivan, Ph.D. Review: Method Frames

Recursion. Computer Science S-111 Harvard University David G. Sullivan, Ph.D. Review: Method Frames Uit 4, Part 3 Recursio Computer Sciece S-111 Harvard Uiversity David G. Sulliva, Ph.D. Review: Method Frames Whe you make a method call, the Java rutime sets aside a block of memory kow as the frame of

More information

Linked Lists 11/16/18. Preliminaries. Java References. Objects and references. Self references. Linking self-referential nodes

Linked Lists 11/16/18. Preliminaries. Java References. Objects and references. Self references. Linking self-referential nodes Prelimiaries Liked Lists public class StrageObject { Strig ame; StrageObject other; Arrays are ot always the optimal data structure: A array has fixed size eeds to be copied to expad its capacity Addig

More information

n Maurice Wilkes, 1949 n Organize software to minimize errors. n Eliminate most of the errors we made anyway.

n Maurice Wilkes, 1949 n Organize software to minimize errors. n Eliminate most of the errors we made anyway. Bjare Stroustrup www.stroustrup.com/programmig Chapter 5 Errors Abstract Whe we program, we have to deal with errors. Our most basic aim is correctess, but we must deal with icomplete problem specificatios,

More information

Abstract. Chapter 4 Computation. Overview 8/13/18. Bjarne Stroustrup Note:

Abstract. Chapter 4 Computation. Overview 8/13/18. Bjarne Stroustrup   Note: Chapter 4 Computatio Bjare Stroustrup www.stroustrup.com/programmig Abstract Today, I ll preset the basics of computatio. I particular, we ll discuss expressios, how to iterate over a series of values

More information

Java Inheritance. Class ADT (Abstract Data Type) Interface. Classes implement the concept of ADT: Interfaces define interaction contracts: Rui Moreira

Java Inheritance. Class ADT (Abstract Data Type) Interface. Classes implement the concept of ADT: Interfaces define interaction contracts: Rui Moreira Java Iheritace Rui Moreira Class ADT (Abstract Data Type) Classes implemet the cocept of ADT: Provide a coheret represetatio for the declaratio of structured data types ad also the code for maipulatig

More information

n Some thoughts on software development n The idea of a calculator n Using a grammar n Expression evaluation n Program organization n Analysis

n Some thoughts on software development n The idea of a calculator n Using a grammar n Expression evaluation n Program organization n Analysis Overview Chapter 6 Writig a Program Bjare Stroustrup Some thoughts o software developmet The idea of a calculator Usig a grammar Expressio evaluatio Program orgaizatio www.stroustrup.com/programmig 3 Buildig

More information

Morgan Kaufmann Publishers 26 February, COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 5.

Morgan Kaufmann Publishers 26 February, COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 5. Morga Kaufma Publishers 26 February, 208 COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 5 Virtual Memory Review: The Memory Hierarchy Take advatage of the priciple

More information

COSC 1P03. Ch 7 Recursion. Introduction to Data Structures 8.1

COSC 1P03. Ch 7 Recursion. Introduction to Data Structures 8.1 COSC 1P03 Ch 7 Recursio Itroductio to Data Structures 8.1 COSC 1P03 Recursio Recursio I Mathematics factorial Fiboacci umbers defie ifiite set with fiite defiitio I Computer Sciece sytax rules fiite defiitio,

More information

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen COP4020 Programmig Laguages Fuctioal Programmig Prof. Robert va Egele Overview What is fuctioal programmig? Historical origis of fuctioal programmig Fuctioal programmig today Cocepts of fuctioal programmig

More information

Chapter 11. Friends, Overloaded Operators, and Arrays in Classes. Copyright 2014 Pearson Addison-Wesley. All rights reserved.

Chapter 11. Friends, Overloaded Operators, and Arrays in Classes. Copyright 2014 Pearson Addison-Wesley. All rights reserved. Chapter 11 Frieds, Overloaded Operators, ad Arrays i Classes Copyright 2014 Pearso Addiso-Wesley. All rights reserved. Overview 11.1 Fried Fuctios 11.2 Overloadig Operators 11.3 Arrays ad Classes 11.4

More information

Solutions to Final COMS W4115 Programming Languages and Translators Monday, May 4, :10-5:25pm, 309 Havemeyer

Solutions to Final COMS W4115 Programming Languages and Translators Monday, May 4, :10-5:25pm, 309 Havemeyer Departmet of Computer ciece Columbia Uiversity olutios to Fial COM W45 Programmig Laguages ad Traslators Moday, May 4, 2009 4:0-5:25pm, 309 Havemeyer Closed book, o aids. Do questios 5. Each questio is

More information

CS200: Hash Tables. Prichard Ch CS200 - Hash Tables 1

CS200: Hash Tables. Prichard Ch CS200 - Hash Tables 1 CS200: Hash Tables Prichard Ch. 13.2 CS200 - Hash Tables 1 Table Implemetatios: average cases Search Add Remove Sorted array-based Usorted array-based Balaced Search Trees O(log ) O() O() O() O(1) O()

More information

COP4020 Programming Languages. Compilers and Interpreters Prof. Robert van Engelen

COP4020 Programming Languages. Compilers and Interpreters Prof. Robert van Engelen COP4020 mig Laguages Compilers ad Iterpreters Prof. Robert va Egele Overview Commo compiler ad iterpreter cofiguratios Virtual machies Itegrated developmet eviromets Compiler phases Lexical aalysis Sytax

More information

Software development of components for complex signal analysis on the example of adaptive recursive estimation methods.

Software development of components for complex signal analysis on the example of adaptive recursive estimation methods. Software developmet of compoets for complex sigal aalysis o the example of adaptive recursive estimatio methods. SIMON BOYMANN, RALPH MASCHOTTA, SILKE LEHMANN, DUNJA STEUER Istitute of Biomedical Egieerig

More information

Chapter 9. Pointers and Dynamic Arrays. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 9. Pointers and Dynamic Arrays. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 9 Poiters ad Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 9.1 Poiters 9.2 Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Slide 9-3

More information

Definitions. Error. A wrong decision made during software development

Definitions. Error. A wrong decision made during software development Debuggig Defiitios Error A wrog decisio made durig software developmet Defiitios 2 Error A wrog decisio made durig software developmet Defect bug sometimes meas this The term Fault is also used Property

More information

How do we evaluate algorithms?

How do we evaluate algorithms? F2 Readig referece: chapter 2 + slides Algorithm complexity Big O ad big Ω To calculate ruig time Aalysis of recursive Algorithms Next time: Litterature: slides mostly The first Algorithm desig methods:

More information

Solution printed. Do not start the test until instructed to do so! CS 2604 Data Structures Midterm Spring, Instructions:

Solution printed. Do not start the test until instructed to do so! CS 2604 Data Structures Midterm Spring, Instructions: CS 604 Data Structures Midterm Sprig, 00 VIRG INIA POLYTECHNIC INSTITUTE AND STATE U T PROSI M UNI VERSI TY Istructios: Prit your ame i the space provided below. This examiatio is closed book ad closed

More information

CS 111: Program Design I Lecture # 7: First Loop, Web Crawler, Functions

CS 111: Program Design I Lecture # 7: First Loop, Web Crawler, Functions CS 111: Program Desig I Lecture # 7: First Loop, Web Crawler, Fuctios Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago September 18, 2018 What will this prit? x = 5 if x == 3: prit("hi!")

More information

n We have discussed classes in previous lectures n Here, we discuss design of classes n Library design considerations

n We have discussed classes in previous lectures n Here, we discuss design of classes n Library design considerations Chapter 14 Graph class desig Bjare Stroustrup Abstract We have discussed classes i previous lectures Here, we discuss desig of classes Library desig cosideratios Class hierarchies (object-orieted programmig)

More information

Chapter 4 The Datapath

Chapter 4 The Datapath The Ageda Chapter 4 The Datapath Based o slides McGraw-Hill Additioal material 24/25/26 Lewis/Marti Additioal material 28 Roth Additioal material 2 Taylor Additioal material 2 Farmer Tae the elemets that

More information

University of Waterloo Department of Electrical and Computer Engineering ECE 250 Algorithms and Data Structures

University of Waterloo Department of Electrical and Computer Engineering ECE 250 Algorithms and Data Structures Uiversity of Waterloo Departmet of Electrical ad Computer Egieerig ECE 250 Algorithms ad Data Structures Midterm Examiatio ( pages) Istructor: Douglas Harder February 7, 2004 7:30-9:00 Name (last, first)

More information

Last class. n Scheme. n Equality testing. n eq? vs. equal? n Higher-order functions. n map, foldr, foldl. n Tail recursion

Last class. n Scheme. n Equality testing. n eq? vs. equal? n Higher-order functions. n map, foldr, foldl. n Tail recursion Aoucemets HW6 due today HW7 is out A team assigmet Submitty page will be up toight Fuctioal correctess: 75%, Commets : 25% Last class Equality testig eq? vs. equal? Higher-order fuctios map, foldr, foldl

More information

Chapter 1. Introduction to Computers and C++ Programming. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 1. Introduction to Computers and C++ Programming. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 1 Itroductio to Computers ad C++ Programmig Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 1.1 Computer Systems 1.2 Programmig ad Problem Solvig 1.3 Itroductio to C++ 1.4 Testig

More information

9.1. Sequences and Series. Sequences. What you should learn. Why you should learn it. Definition of Sequence

9.1. Sequences and Series. Sequences. What you should learn. Why you should learn it. Definition of Sequence _9.qxd // : AM Page Chapter 9 Sequeces, Series, ad Probability 9. Sequeces ad Series What you should lear Use sequece otatio to write the terms of sequeces. Use factorial otatio. Use summatio otatio to

More information

Lecture 1: Introduction and Strassen s Algorithm

Lecture 1: Introduction and Strassen s Algorithm 5-750: Graduate Algorithms Jauary 7, 08 Lecture : Itroductio ad Strasse s Algorithm Lecturer: Gary Miller Scribe: Robert Parker Itroductio Machie models I this class, we will primarily use the Radom Access

More information

Classes and Objects. Again: Distance between points within the first quadrant. José Valente de Oliveira 4-1

Classes and Objects. Again: Distance between points within the first quadrant. José Valente de Oliveira 4-1 Classes ad Objects jvo@ualg.pt José Valete de Oliveira 4-1 Agai: Distace betwee poits withi the first quadrat Sample iput Sample output 1 1 3 4 2 jvo@ualg.pt José Valete de Oliveira 4-2 1 The simplest

More information

Lecture 9: Exam I Review

Lecture 9: Exam I Review CS 111 (Law): Program Desig I Lecture 9: Exam I Review Robert H. Sloa & Richard Warer Uiversity of Illiois, Chicago September 22, 2016 This Class Discuss midterm topics Go over practice examples Aswer

More information

Programming with Shared Memory PART II. HPC Spring 2017 Prof. Robert van Engelen

Programming with Shared Memory PART II. HPC Spring 2017 Prof. Robert van Engelen Programmig with Shared Memory PART II HPC Sprig 2017 Prof. Robert va Egele Overview Sequetial cosistecy Parallel programmig costructs Depedece aalysis OpeMP Autoparallelizatio Further readig HPC Sprig

More information

10/23/18. File class in Java. Scanner reminder. Files. Opening a file for reading. Scanner reminder. File Input and Output

10/23/18. File class in Java. Scanner reminder. Files. Opening a file for reading. Scanner reminder. File Input and Output File class i Java File Iput ad Output TOPICS File Iput Exceptio Hadlig File Output Programmers refer to iput/output as "I/O". The File class represets files as objects. The class is defied i the java.io

More information

n Haskell n Syntax n Lazy evaluation n Static typing and type inference n Algebraic data types n Pattern matching n Type classes

n Haskell n Syntax n Lazy evaluation n Static typing and type inference n Algebraic data types n Pattern matching n Type classes Aoucemets Quiz 7 HW 9 is due o Friday Raibow grades HW 1-6 plus 8. Please, read our commets o 8! Exam 1-2 Quiz 1-6 Ay questios/cocers, let us kow ASAP Last Class Haskell Sytax Lazy evaluatio Static typig

More information

Threads and Concurrency in Java: Part 2

Threads and Concurrency in Java: Part 2 Threads ad Cocurrecy i Java: Part 2 1 Waitig Sychroized methods itroduce oe kid of coordiatio betwee threads. Sometimes we eed a thread to wait util a specific coditio has arise. 2003--09 T. S. Norvell

More information

Basic allocator mechanisms The course that gives CMU its Zip! Memory Management II: Dynamic Storage Allocation Mar 6, 2000.

Basic allocator mechanisms The course that gives CMU its Zip! Memory Management II: Dynamic Storage Allocation Mar 6, 2000. 5-23 The course that gives CM its Zip Memory Maagemet II: Dyamic Storage Allocatio Mar 6, 2000 Topics Segregated lists Buddy system Garbage collectio Mark ad Sweep Copyig eferece coutig Basic allocator

More information

top() Applications of Stacks

top() Applications of Stacks CS22 Algorithms ad Data Structures MW :00 am - 2: pm, MSEC 0 Istructor: Xiao Qi Lecture 6: Stacks ad Queues Aoucemets Quiz results Homework 2 is available Due o September 29 th, 2004 www.cs.mt.edu~xqicoursescs22

More information

UNIVERSITY OF MORATUWA

UNIVERSITY OF MORATUWA UNIVERSITY OF MORATUWA FACULTY OF ENGINEERING DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING B.Sc. Egieerig 2010 Itake Semester 7 Examiatio CS4532 CONCURRENT PROGRAMMING Time allowed: 2 Hours September 2014

More information

Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science Pytho Programmig: A Itroductio to Computer Sciece Chapter 1 Computers ad Programs 1 Objectives To uderstad the respective roles of hardware ad software i a computig system. To lear what computer scietists

More information

CS 111: Program Design I Lecture 15: Objects, Pandas, Modules. Robert H. Sloan & Richard Warner University of Illinois at Chicago October 13, 2016

CS 111: Program Design I Lecture 15: Objects, Pandas, Modules. Robert H. Sloan & Richard Warner University of Illinois at Chicago October 13, 2016 CS 111: Program Desig I Lecture 15: Objects, Padas, Modules Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago October 13, 2016 OBJECTS AND DOT NOTATION Objects (Implicit i Chapter 2, Variables,

More information

Recursion. Recursion. Mathematical induction: example. Recursion. The sum of the first n odd numbers is n 2 : Informal proof: Principle:

Recursion. Recursion. Mathematical induction: example. Recursion. The sum of the first n odd numbers is n 2 : Informal proof: Principle: Recursio Recursio Jordi Cortadella Departmet of Computer Sciece Priciple: Reduce a complex problem ito a simpler istace of the same problem Recursio Itroductio to Programmig Dept. CS, UPC 2 Mathematical

More information

Java Expressions & Flow Control

Java Expressions & Flow Control Java Expressios & Flow Cotrol Rui Moreira Expressio Separators:. [ ] ( ), ; Dot used as decimal separator or to access attributes ad methods double d = 2.6; Poto poto = ew Poto(2, 3); it i = poto.x; it

More information

Announcements TREES II. Comparing Data Structures. Binary Search Trees. Red-Black Trees. Red-Black Trees 3/13/18

Announcements TREES II. Comparing Data Structures. Binary Search Trees. Red-Black Trees. Red-Black Trees 3/13/18 //8 Aoucemets Prelim is Toight, brig your studet ID :PM EXAM OLH: etids startig aa to dh OLH: etids startig di to ji PHL: etids startig jj to ks (Plus studets who switched from the 7: exam) TREES II Lecture

More information

prerequisites: 6.046, 6.041/2, ability to do proofs Randomized algorithms: make random choices during run. Main benefits:

prerequisites: 6.046, 6.041/2, ability to do proofs Randomized algorithms: make random choices during run. Main benefits: Itro Admiistrivia. Sigup sheet. prerequisites: 6.046, 6.041/2, ability to do proofs homework weekly (first ext week) collaboratio idepedet homeworks gradig requiremet term project books. questio: scribig?

More information

Compiling and executing managed code

Compiling and executing managed code Compilig ad exectig maaged code Sorce Code Compilatio Lagage Compiler Microsoft Itermediate Lagage (MSIL) The first time each method is called Native Code Exectio JIT Compiler Commo Lagage Rtime C# .NET

More information

CSC 220: Computer Organization Unit 11 Basic Computer Organization and Design

CSC 220: Computer Organization Unit 11 Basic Computer Organization and Design College of Computer ad Iformatio Scieces Departmet of Computer Sciece CSC 220: Computer Orgaizatio Uit 11 Basic Computer Orgaizatio ad Desig 1 For the rest of the semester, we ll focus o computer architecture:

More information

BaanERP Tools. Programming features

BaanERP Tools. Programming features BaaERP Tools A publicatio of: Baa Developmet B.V. P.O.Box 143 3770 AC Bareveld The Netherlads Prited i the Netherlads Baa Developmet B.V. 1998. All rights reserved. The iformatio i this documet is subject

More information

Chapter 5. Functions for All Subtasks. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 5. Functions for All Subtasks. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 5 Fuctios for All Subtasks Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 5.1 void Fuctios 5.2 Call-By-Referece Parameters 5.3 Usig Procedural Abstractio 5.4 Testig ad Debuggig

More information

CS211 Fall 2003 Prelim 2 Solutions and Grading Guide

CS211 Fall 2003 Prelim 2 Solutions and Grading Guide CS11 Fall 003 Prelim Solutios ad Gradig Guide Problem 1: (a) obj = obj1; ILLEGAL because type of referece must always be a supertype of type of object (b) obj3 = obj1; ILLEGAL because type of referece

More information

Creating Test Harnesses and Starter Applications

Creating Test Harnesses and Starter Applications 03 6000 ch02 11/18/03 8:54 AM Page 27 Creatig Test Haresses ad Starter Applicatios Applicatio Types You Ca Create with Visual C++ Visual C++.NET comes with a package of wizards that geerate startig code

More information

CS 111: Program Design I Lecture 20: Web crawling, HTML, Copyright

CS 111: Program Design I Lecture 20: Web crawling, HTML, Copyright CS 111: Program Desig I Lecture 20: Web crawlig, HTML, Copyright Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago November 8, 2016 WEB CRAWLER AGAIN Two bits of useful Pytho sytax Do't eed

More information

Lazy Type Changes in Object-oriented Database. Shan Ming Woo and Barbara Liskov MIT Lab. for Computer Science December 1999

Lazy Type Changes in Object-oriented Database. Shan Ming Woo and Barbara Liskov MIT Lab. for Computer Science December 1999 Lazy Type Chages i Object-orieted Database Sha Mig Woo ad Barbara Liskov MIT Lab. for Computer Sciece December 1999 Backgroud wbehavior of OODB apps compose of behavior of persistet obj wbehavior of objects

More information

Elementary Educational Computer

Elementary Educational Computer Chapter 5 Elemetary Educatioal Computer. Geeral structure of the Elemetary Educatioal Computer (EEC) The EEC coforms to the 5 uits structure defied by vo Neuma's model (.) All uits are preseted i a simplified

More information

CS 111: Program Design I Lecture 15: Modules, Pandas again. Robert H. Sloan & Richard Warner University of Illinois at Chicago March 8, 2018

CS 111: Program Design I Lecture 15: Modules, Pandas again. Robert H. Sloan & Richard Warner University of Illinois at Chicago March 8, 2018 CS 111: Program Desig I Lecture 15: Modules, Padas agai Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago March 8, 2018 PYTHON STANDARD LIBRARY & BEYOND: MODULES Extedig Pytho Every moder

More information

implement language system

implement language system Outlie Priciples of programmig laguages Lecture 3 http://few.vu.l/~silvis/ppl/2007 Part I. Laguage systems Part II. Fuctioal programmig. First look at ML. Natalia Silvis-Cividjia e-mail: silvis@few.vu.l

More information

COMP Parallel Computing. PRAM (1): The PRAM model and complexity measures

COMP Parallel Computing. PRAM (1): The PRAM model and complexity measures COMP 633 - Parallel Computig Lecture 2 August 24, 2017 : The PRAM model ad complexity measures 1 First class summary This course is about parallel computig to achieve high-er performace o idividual problems

More information

n Haskell n Covered syntax, lazy evaluation, static typing n Algebraic data types and pattern matching n Type classes n Monads and more n Types

n Haskell n Covered syntax, lazy evaluation, static typing n Algebraic data types and pattern matching n Type classes n Monads and more n Types Aoucemets Exam 2 is graded, but I will eed some time to go over it I ll release grades this eveig (figers crossed!) Raibow grades: HW1-6, Exam 1-2, Quiz 1-5 Will post aswer key Still gradig: Quiz 6, HW7

More information

Data diverse software fault tolerance techniques

Data diverse software fault tolerance techniques Data diverse software fault tolerace techiques Complemets desig diversity by compesatig for desig diversity s s limitatios Ivolves obtaiig a related set of poits i the program data space, executig the

More information

Analysis Metrics. Intro to Algorithm Analysis. Slides. 12. Alg Analysis. 12. Alg Analysis

Analysis Metrics. Intro to Algorithm Analysis. Slides. 12. Alg Analysis. 12. Alg Analysis Itro to Algorithm Aalysis Aalysis Metrics Slides. Table of Cotets. Aalysis Metrics 3. Exact Aalysis Rules 4. Simple Summatio 5. Summatio Formulas 6. Order of Magitude 7. Big-O otatio 8. Big-O Theorems

More information

High-Order Language APPLICATION LEVEL HIGH-ORDER LANGUAGE LEVEL ASSEMBLY LEVEL OPERATING SYSTEM LEVEL INSTRUCTION SET ARCHITECTURE LEVEL

High-Order Language APPLICATION LEVEL HIGH-ORDER LANGUAGE LEVEL ASSEMBLY LEVEL OPERATING SYSTEM LEVEL INSTRUCTION SET ARCHITECTURE LEVEL Chapter 2 C High-Order Laguage APPLICATION LEVEL HIGH-ORDER LANGUAGE LEVEL 6 ASSEMBLY LEVEL OPERATING SYSTEM LEVEL INSTRUCTION SET ARCHITECTURE LEVEL MICROCODE LEVEL LOGIC GATE LEVEL Figure 2. 7 6 5 4

More information

Code Review Defects. Authors: Mika V. Mäntylä and Casper Lassenius Original version: 4 Sep, 2007 Made available online: 24 April, 2013

Code Review Defects. Authors: Mika V. Mäntylä and Casper Lassenius Original version: 4 Sep, 2007 Made available online: 24 April, 2013 Code Review s Authors: Mika V. Mätylä ad Casper Lasseius Origial versio: 4 Sep, 2007 Made available olie: 24 April, 2013 This documet cotais further details of the code review defects preseted i [1]. of

More information

Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science Pytho Programmig: A Itroductio to Computer Sciece Chapter 6 Defiig Fuctios Pytho Programmig, 2/e 1 Objectives To uderstad why programmers divide programs up ito sets of cooperatig fuctios. To be able to

More information

Chapter 10. Defining Classes. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 10. Defining Classes. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 10 Defiig Classes Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 10.1 Structures 10.2 Classes 10.3 Abstract Data Types 10.4 Itroductio to Iheritace Copyright 2015 Pearso Educatio,

More information

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Single-Cycle Disadvantages & Advantages

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Single-Cycle Disadvantages & Advantages COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 4 The Processor Pipeliig Sigle-Cycle Disadvatages & Advatages Clk Uses the clock cycle iefficietly the clock cycle must

More information

Chapter 4. Procedural Abstraction and Functions That Return a Value. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 4. Procedural Abstraction and Functions That Return a Value. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 4 Procedural Abstractio ad Fuctios That Retur a Value Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 4.1 Top-Dow Desig 4.2 Predefied Fuctios 4.3 Programmer-Defied Fuctios 4.4

More information

Goals of the Lecture Object Constraint Language

Goals of the Lecture Object Constraint Language Goals of the Lecture Object Costrait Laguage Object-Orieted Aalysis ad Desig - Fall 1998 Preset the Object Costrait Laguage Ð As best as possible, with the limited iformatio available from UML i a Nutshell

More information

Morgan Kaufmann Publishers 26 February, COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 5

Morgan Kaufmann Publishers 26 February, COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 5 Morga Kaufma Publishers 26 February, 28 COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 5 Set-Associative Cache Architecture Performace Summary Whe CPU performace icreases:

More information

Topics. Instance object. Instance object. Fundamentals of OT. Object notation. How do objects collaborate? Pearson Education 2007 Appendix (RASD 3/e)

Topics. Instance object. Instance object. Fundamentals of OT. Object notation. How do objects collaborate? Pearson Education 2007 Appendix (RASD 3/e) Appedix (RASD 3/e) MACIASZEK, L.A. (2007): Requiremets Aalysis ad System Desig, 3 rd ed. Addiso Wesley, Harlow Eglad ISBN 978-0-321-44036-5 Appedix Fudametals of Object Techology Pearso Educatio Limited

More information

COP4020 Programming Languages. Names, Scopes, and Bindings Prof. Robert van Engelen

COP4020 Programming Languages. Names, Scopes, and Bindings Prof. Robert van Engelen COP4020 Programmig Laguages Names, Scopes, ad Bidigs Prof. Robert va Egele Overview Abstractios ad ames Bidig time Object lifetime Object storage maagemet Static allocatio Stack allocatio Heap allocatio

More information

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 22 Database Recovery Techiques Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Recovery algorithms Recovery cocepts Write-ahead

More information

Project 2.5 Improved Euler Implementation

Project 2.5 Improved Euler Implementation Project 2.5 Improved Euler Implemetatio Figure 2.5.10 i the text lists TI-85 ad BASIC programs implemetig the improved Euler method to approximate the solutio of the iitial value problem dy dx = x+ y,

More information

CSE 2320 Notes 8: Sorting. (Last updated 10/3/18 7:16 PM) Idea: Take an unsorted (sub)array and partition into two subarrays such that.

CSE 2320 Notes 8: Sorting. (Last updated 10/3/18 7:16 PM) Idea: Take an unsorted (sub)array and partition into two subarrays such that. CSE Notes 8: Sortig (Last updated //8 7:6 PM) CLRS 7.-7., 9., 8.-8. 8.A. QUICKSORT Cocepts Idea: Take a usorted (sub)array ad partitio ito two subarrays such that p q r x y z x y y z Pivot Customarily,

More information

Structuring Redundancy for Fault Tolerance. CSE 598D: Fault Tolerant Software

Structuring Redundancy for Fault Tolerance. CSE 598D: Fault Tolerant Software Structurig Redudacy for Fault Tolerace CSE 598D: Fault Tolerat Software What do we wat to achieve? Versios Damage Assessmet Versio 1 Error Detectio Iputs Versio 2 Voter Outputs State Restoratio Cotiued

More information

WORKED EXAMPLE 7.1. Producing a Mass Mailing. We want to automate the process of producing mass mailings. A typical letter might look as follows:

WORKED EXAMPLE 7.1. Producing a Mass Mailing. We want to automate the process of producing mass mailings. A typical letter might look as follows: Worked Example 7.1 Producig a Mass Mailig 1 WORKED EXAMPLE 7.1 Producig a Mass Mailig We wat to automate the process of producig mass mailigs. A typical letter might look as follows: To: Ms. Sally Smith

More information

CIS 121. Introduction to Trees

CIS 121. Introduction to Trees CIS 121 Itroductio to Trees 1 Tree ADT Tree defiitio q A tree is a set of odes which may be empty q If ot empty, the there is a distiguished ode r, called root ad zero or more o-empty subtrees T 1, T 2,

More information

CSE 111 Bio: Program Design I Class 11: loops

CSE 111 Bio: Program Design I Class 11: loops SE 111 Bio: Program Desig I lass 11: loops Radall Muroe, xkcd.com/1411/ Robert H. Sloa (S) & Rachel Poretsky (Bio) Uiversity of Illiois, hicago October 2, 2016 Pytho ets Loopy! he Pytho, Busch ardes Florida

More information

Chapter 4 Remote Procedure Calls and Distributed Transactions

Chapter 4 Remote Procedure Calls and Distributed Transactions Prof. Dr.-Ig. Stefa Deßloch AG Heterogee Iformatiossysteme Geb. 36, Raum 329 Tel. 0631/205 3275 dessloch@iformatik.ui-kl.de Chapter 4 Remote Procedure Calls ad Distributed Trasactios Outlie Remote Procedure

More information

! Given the following Structure: ! We can define a pointer to a structure. ! Now studentptr points to the s1 structure.

! Given the following Structure: ! We can define a pointer to a structure. ! Now studentptr points to the s1 structure. Liked Lists Uit 5 Sectios 11.9 & 18.1-2 CS 2308 Fall 2018 Jill Seama 11.9: Poiters to Structures! Give the followig Structure: struct Studet { strig ame; // Studet s ame it idnum; // Studet ID umber it

More information

Package RcppRoll. December 22, 2014

Package RcppRoll. December 22, 2014 Type Package Package RcppRoll December 22, 2014 Title Fast rollig fuctios through Rcpp ad RcppArmadillo Versio 0.1.0 Date 2013-01-10 Author Kevi Ushey Maitaier Kevi Ushey RcppRoll

More information

Threads and Concurrency in Java: Part 1

Threads and Concurrency in Java: Part 1 Cocurrecy Threads ad Cocurrecy i Java: Part 1 What every computer egieer eeds to kow about cocurrecy: Cocurrecy is to utraied programmers as matches are to small childre. It is all too easy to get bured.

More information

The Magma Database file formats

The Magma Database file formats The Magma Database file formats Adrew Gaylard, Bret Pikey, ad Mart-Mari Breedt Johaesburg, South Africa 15th May 2006 1 Summary Magma is a ope-source object database created by Chris Muller, of Kasas City,

More information

Threads and Concurrency in Java: Part 1

Threads and Concurrency in Java: Part 1 Threads ad Cocurrecy i Java: Part 1 1 Cocurrecy What every computer egieer eeds to kow about cocurrecy: Cocurrecy is to utraied programmers as matches are to small childre. It is all too easy to get bured.

More information

Overview. Chapter 18 Vectors and Arrays. Reminder. vector. Bjarne Stroustrup

Overview. Chapter 18 Vectors and Arrays. Reminder. vector. Bjarne Stroustrup Chapter 18 Vectors ad Arrays Bjare Stroustrup Vector revisited How are they implemeted? Poiters ad free store Destructors Iitializatio Copy ad move Arrays Array ad poiter problems Chagig size Templates

More information

Priority Queues. Binary Heaps

Priority Queues. Binary Heaps Priority Queues Biary Heaps Priority Queues Priority: some property of a object that allows it to be prioritized with respect to other objects of the same type Mi Priority Queue: homogeeous collectio of

More information

The golden search method: Question 1

The golden search method: Question 1 1. Golde Sectio Search for the Mode of a Fuctio The golde search method: Questio 1 Suppose the last pair of poits at which we have a fuctio evaluatio is x(), y(). The accordig to the method, If f(x())

More information

The CS job market. Building Java Programs Chapter 1. Programming languages. What is programming? Introduction to Java Programming

The CS job market. Building Java Programs Chapter 1. Programming languages. What is programming? Introduction to Java Programming The CS job market 160,000 Buildig Java Programs Chapter 1 Itroductio to Java Programmig 140,000 120,000 100,000 80,000 60,000 40,000 PhD Master's Bachelor's Projected Job Opeigs 20,000 Copyright (c) Pearso

More information

CMSC Computer Architecture Lecture 3: ISA and Introduction to Microarchitecture. Prof. Yanjing Li University of Chicago

CMSC Computer Architecture Lecture 3: ISA and Introduction to Microarchitecture. Prof. Yanjing Li University of Chicago CMSC 22200 Computer Architecture Lecture 3: ISA ad Itroductio to Microarchitecture Prof. Yajig Li Uiversity of Chicago Lecture Outlie ISA uarch (hardware implemetatio of a ISA) Logic desig basics Sigle-cycle

More information

5.3 Recursive definitions and structural induction

5.3 Recursive definitions and structural induction /8/05 5.3 Recursive defiitios ad structural iductio CSE03 Discrete Computatioal Structures Lecture 6 A recursively defied picture Recursive defiitios e sequece of powers of is give by a = for =0,,, Ca

More information

Chapter 3 DB-Gateways

Chapter 3 DB-Gateways Prof. Dr.-Ig. Stefa Deßloch AG Heterogee Iformatiossysteme Geb. 36, Raum 329 Tel. 0631/205 3275 dessloch@iformatik.ui-kl.de Chapter 3 DB-Gateways Outlie Couplig DBMS ad programmig laguages approaches requiremets

More information

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor Advanced Issues

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor Advanced Issues COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 4 The Processor Advaced Issues Review: Pipelie Hazards Structural hazards Desig pipelie to elimiate structural hazards.

More information

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Part A Datapath Design

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Part A Datapath Design COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter The Processor Part A path Desig Itroductio CPU performace factors Istructio cout Determied by ISA ad compiler. CPI ad

More information

Appendix D. Controller Implementation

Appendix D. Controller Implementation COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Appedix D Cotroller Implemetatio Cotroller Implemetatios Combiatioal logic (sigle-cycle); Fiite state machie (multi-cycle, pipelied);

More information

COP4020 Programming Languages. Subroutines and Parameter Passing Prof. Robert van Engelen

COP4020 Programming Languages. Subroutines and Parameter Passing Prof. Robert van Engelen COP4020 Programmig Laguages Subrouties ad Parameter Passig Prof. Robert va Egele Overview Parameter passig modes Subroutie closures as parameters Special-purpose parameters Fuctio returs COP4020 Fall 2016

More information

Lecture 6. Lecturer: Ronitt Rubinfeld Scribes: Chen Ziv, Eliav Buchnik, Ophir Arie, Jonathan Gradstein

Lecture 6. Lecturer: Ronitt Rubinfeld Scribes: Chen Ziv, Eliav Buchnik, Ophir Arie, Jonathan Gradstein 068.670 Subliear Time Algorithms November, 0 Lecture 6 Lecturer: Roitt Rubifeld Scribes: Che Ziv, Eliav Buchik, Ophir Arie, Joatha Gradstei Lesso overview. Usig the oracle reductio framework for approximatig

More information

2.4 Algorithm Analysis

2.4 Algorithm Analysis 2.4 Algorithm Aalysis It has already bee described qualitatively that if we ited to store othig but objects, that this ca be doe quickly usig a hash table; however, if we wish to store relatioships ad

More information

Module 8-7: Pascal s Triangle and the Binomial Theorem

Module 8-7: Pascal s Triangle and the Binomial Theorem Module 8-7: Pascal s Triagle ad the Biomial Theorem Gregory V. Bard April 5, 017 A Note about Notatio Just to recall, all of the followig mea the same thig: ( 7 7C 4 C4 7 7C4 5 4 ad they are (all proouced

More information

Guide to Applying Online

Guide to Applying Online Guide to Applyig Olie Itroductio Respodig to requests for additioal iformatio Reportig: submittig your moitorig or ed of grat Pledges: submittig your Itroductio This guide is to help charities submit their

More information

Ones Assignment Method for Solving Traveling Salesman Problem

Ones Assignment Method for Solving Traveling Salesman Problem Joural of mathematics ad computer sciece 0 (0), 58-65 Oes Assigmet Method for Solvig Travelig Salesma Problem Hadi Basirzadeh Departmet of Mathematics, Shahid Chamra Uiversity, Ahvaz, Ira Article history:

More information

CIS 121 Data Structures and Algorithms with Java Spring Stacks and Queues Monday, February 12 / Tuesday, February 13

CIS 121 Data Structures and Algorithms with Java Spring Stacks and Queues Monday, February 12 / Tuesday, February 13 CIS Data Structures ad Algorithms with Java Sprig 08 Stacks ad Queues Moday, February / Tuesday, February Learig Goals Durig this lab, you will: Review stacks ad queues. Lear amortized ruig time aalysis

More information