The following outline is provided as an overview of and topical guide to software engineering:

Software engineering application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software; that is the application of engineering to software.

The ACM Computing Classification system is a poly-hierarchical ontology that organizes the topics of the field and can be used in semantic web applications and as a de facto standard classification system for the field. The major section "Software and its Engineering" provides an outline and ontology for software engineering.

Software applications

Software engineers build software (applications, operating systems, system software) that people use.

Applications influence software engineering by pressuring developers to solve problems in new ways. For example, consumer software emphasizes low cost, medical software emphasizes high quality, and Internet commerce software emphasizes rapid development.

Business software

• Accounting software

Analytics

• Data mining closely related to database

• Decision support systems

• Airline reservations

Banking

• Automated teller machines

• Cheque processing

• Credit cards

Commerce

• Trade

• Auctions (e.g. eBay)

• Reverse auctions (procurement)

• Bar code scanners

Compilers

• Parsers

• Compiler optimization

• Interpreters

• Linkers

• Loaders

Communication

• E-mail

• Instant messengers

• VOIP

• Calendars — scheduling and coordinating

• Contact managers

Computer graphics

• Animation

• Special effects for video and film

• Editing

• Post-processing

• Cryptography

• Databases, support almost every field

Embedded systems Both software engineers and traditional engineers write software control systems for embedded products.

• Automotive software

• Avionics software

• Heating ventilating and air conditioning (HVAC) software

• Medical device software

• Telephony

• Telemetry

Engineering All traditional engineering branches use software extensively. Engineers use spreadsheets, more than they ever used calculators. Engineers use custom software tools to design, analyze, and simulate their own projects, like bridges and power lines. These projects resemble software in many respects, because the work exists as electronic documents and goes through analysis, design, implementation, and testing phases. Software tools for engineers use the tenets of computer science; as well as the tenets of calculus, physics, and chemistry.

• Computer Aided Design (CAD)

• Electronic Design Automation (EDA)

• Numerical Analysis

• Simulation

File

• FTP

• File sharing

• File synchronization

Finance

• Bond market

• Futures market

• Stock market

Games

• Poker

• Multiuser Dungeons

• Video games

Information systems, support almost every field

• LIS Management of laboratory data

• MIS Management of financial and personnel data

Logistics

• Supply chain management

Manufacturing

• Computer Aided Manufacturing (CAM)

• Distributed Control Systems (DCS)

Music

• Music sequencers

• Sound effects

• Music synthesis

Network Management

• Network management system

• Element Management System

• Operations Support System

• Business Support Systems

Networks and Internet

• Domain Name System

• Protocols

• Routerss

Office suites

• Word processors

• Spreadsheets

• Presentations

Operating systems

• Embedded

• Graphical

• Multitasking

• Real-time

• Robotics

Signal processing, encoding and interpreting signals

• Image processing, encoding and interpreting visual information

• Speech processing

• Text recognition

• Handwriting recognition

Simulation, supports almost every field.

• Engineering, A software simulation can be cheaper to build and more flexible to change than a physical engineering model.

• Sciences

Sciences

• Genomics

Traffic Control

• Air traffic control

• Ship traffic control

• Road traffic control

Training

• Drill

• Simulation

• Testing

Visualization, supports almost every field

• Architecture

• Engineering

• Sciences

• Voting

World Wide Web

• Browsers

• Servers

Software engineering topics

Programming paradigm, based on a programming language technology

• Object-oriented programming

• Aspect-oriented programming

• Functional decomposition

• Structured programming

• Rule-based programming

Databases

• Hierarchical

• Object

• Relational

• SQL/XML

• SQL

• NoSQL

Graphical user interfaces

• GTK+ GIMP Toolkit

• wxWidgets

• Ultimate++

• Qt toolkit

• FLTK

Programming tools

Configuration management and source code management

• CVS

• Subversion

• Git

• Mercurial

• RCS

• GNU Arch

• LibreSource Synchronizer

• Team Foundation Server

• Visual Studio Team Services

Build tools

• Make

• Rake

• Cabal

• Ant

• CADES

• Nant

• Maven

• Final Builder

• Gradle

• Team Foundation Server

• Visual Studio Team Services

• Visual Build Pro

Editors

• Integrated development environments (IDEs)

• Text editors

• Word processors

Parser creation tools

• Yacc/Bison

• Static code analysis tools

Libraries

• Component-based software engineering

Design languages

• Unified Modeling Language (UML)

Patterns, document many common programming and project management techniques

• Anti-patterns

• Patterns

Processes and methodologies

Agile

• Agile software development

• Extreme programming

• Lean software development

• Rapid application development (RAD)

• Rational Unified Process

• Scrum

Heavyweight

• Cleanroom

• ISO/IEC 12207 — software life cycle processes

• ISO 9000 and ISO 9001

Process Models

• CMM and CMMI/SCAMPI

• ISO 15504 (SPICE)

Metamodels

• ISO/IEC 24744

• SPEM

Platforms

A platform combines computer hardware and an operating system. As platforms grow more powerful and less costly, applications and tools grow more widely available.

• BREW

• Cray supercomputers

• DEC minicomputers

• IBM mainframes

• Linux PCs

• Classic Mac OS and macOS PCs

• Microsoft .NET

• Palm PDAs

• Sun Microsystems Solaris

• Windows PCs (Wintel)

• Symbian OS

Other Practices

• Communication

• Method engineering

• Pair programming

• Performance Engineering

• Programming productivity

• Refactoring

• Software inspections/Code reviews

• Software reuse

• Systems integration

• Teamwork

Other tools

• Decision tables

• Feature

• User stories

• Use cases

Computer science topics

Algorithms, well-defined methods for solving specific problems.

• Searching

• Sorting

• Parsing

• Numerical analysis

Compiler theory

• Yacc/Bison

Data structures, well-defined methods for storing and retrieving data.

• Listss

• Trees

• Hash tables

Computability, some problems cannot be solved at all

• List of unsolved problems in computer science

• Halting problem

Complexity, some problems are solvable in principle, yet unsolvable in practice

• NP completeness

• Computational complexity theory

Formal methods

• Proof of correctness

• Program synthesis

Adaptive Systems

• Neural Networks

• Evolutionary Algorithms

Mathematics topics

Discrete mathematics is a key foundation of software engineering.

• Number representation

• Set (computer science)

• Bagss

Graphss

• Sequences

• Treess

• Graph (data structure)

Logic

• Deduction

• First-order logic

• Higher-order logic

• Combinatory logic

• Induction

• Combinatorics

Other

• Domain knowledge

• Statistics

• Decision theory

• Type theory

Life cycle phases

Development life cycle phase

• Requirements gathering / analysis

• Software architecture

• Computer programming

Testing, detects bugs

• Black box testing

• White box testing

• Quality assurance, ensures compliance with process.

Product Life cycle phase and Project lifecycle

• Inception

• First development

• Major release

• Minor release

• Bug fix release

• Maintenance

• Obsolescence

Release development stage, near the end of a release cycle

• Alpha

• Beta

• Gold master

• 1.0; 2.0

Software development lifecycle

• Waterfall model — Structured programming and Stepwise refinement

• SSADM

• Spiral model — Iterative development

• V-model

• Agile software development

• DSDM

• Chaos model — Chaos strategy

Deliverables

Deliverables must be developed for many SE projects. Software engineers rarely make all of these deliverables themselves. They usually cooperate with the writers, trainers, installers, marketers, technical support people, and others who make many of these deliverables.

• Application software — the software

• Database — schemas and data.

Documentation, online and/or print, FAQ, Readme, release notes, Help, for each role

• User

• Administrator

• Manager

• Buyer

  Administration and Maintenance policy, what should be backed-up, checked, configured, ...

• Installers

Migration

• Upgrade from previous installations

• Upgrade from competitor's installations

Training materials, for each role

• User

• Administrator

• Manager

• Buyer

• Support info for computer support groups.

Marketing and sales materials

• White papers, explain the technologies used in the applications

Business roles

Operations

• Userss

• Administrators

• Managers

• Buyers

Development

• Analystss

• Programmers

• Testerss

• Managers

Business

• Consulting — customization and installation of applications

• Sales

• Marketing

• Legal — contracts, intellectual property rights

• Privacy and Privacy engineering

• Support — helping customers use applications

• Personnel — hiring and training qualified personnel

• Finance — funding new development

Academia

• Educators

• Researchers

Management topics

Leadership

• Coaching

• Communication

• Listening

• Motivation

• Vision, SEs are good at this

• Example, everyone follows a good example best

Human resource management

• Hiring, getting people into an organization

• Training

• Evaluation

Project management

• Goal setting

• Customer interaction (Rethink)

• Estimation

• Risk management

• Change management

Process management

• Software development processes

• Metrics

Business topics

Quality programs

• Malcolm Baldrige National Quality Award

• Six Sigma

• Total Quality Management (TQM)

Software engineering profession

• Software engineering demographics

• Software engineering economics

• CCSE

• History of software engineering

Software engineering professionalism

• Ethics

• Licensing

Legal

• Intellectual property

• Consumer protection

History of software engineering

History of software engineering===Pioneers=== Many people made important contributions to SE technologies, practices, or applications.

• John Backus: Fortran, first optimizing compiler, BNF

• Victor Basili: Experience factory.

• F.L. Bauer: Stack principle, popularized the term Software Engineering

• Kent Beck: Refactoring, extreme programming, pair programming, test-driven development.

• Tim Berners-Lee: World Wide Web

• Barry Boehm: SE economics, COCOMO, Spiral model.

• Grady Booch: Object-oriented design, UML.

• Fred Brooks: Managed System 360 and OS 360. Wrote The Mythical Man-Month and No Silver Bullet.

• Larry Constantine: Structured design, coupling, cohesion

• Edsger Dijkstra: Wrote Notes on Structured Programming, A Discipline of Programming and Go To Statement Considered Harmful, algorithms, formal methods, pedagogy.

• Michael Fagan: Software inspection.

• Tom Gilb: Software metrics, Software inspection, Evolutionary Delivery ("Evo").

• Adele Goldstine: Wrote the Operators Manual for the ENIAC, the first electronic digital computer, and trained some of the first human computers

• Lois Haibt: FORTRAN, wrote the first parser

• Margaret Hamilton: Coined the term "software engineering", developed Universal Systems Language

• Mary Jean Harrold: Regression testing, fault localization

• Grace Hopper: The first compiler (Mark 1), COBOL, Nanoseconds.

• Watts Humphrey: Capability Maturity Model, Personal Software Process, fellow of the Software Engineering Institute.

• Jean Ichbiah: Ada

• Michael A. Jackson: Jackson Structured Programming, Jackson System Development

• Bill Joy: Berkeley Unix, vi, Java.

• Alan Kay: Smalltalk

• Brian Kernighan: C and Unix.

• Donald Knuth: Wrote The Art of Computer Programming, TeX, algorithms, literate programming

• Nancy Leveson: System safety

• Bertrand Meyer: Design by Contract, Eiffel programming language.

• Peter G. Neumann: RISKS Digest, ACM Sigsoft.

• David Parnas: Module design, social responsibility, professionalism.

• Jef Raskin: Developed the original Macintosh GUI, authored The Humane Interface

• Dennis Ritchie: C and Unix.

• Winston W. Royce: Waterfall model.

• Mary Shaw: Software architecture.

• Richard Stallman: Founder of the Free Software Foundation

• Linus Torvalds: Linux kernel, free software / open source development.

• Will Tracz: Reuse, ACM Software Engineering Notes.

• Gerald Weinberg: Wrote The Psychology of Computer Programming.

• Elaine Weyuker: Software testing

• Jeannette Wing: Formal specifications.

• Ed Yourdon: Structured programming, wrote The Decline and Fall of the American Programmer.

See also

• List of programmers

• List of computer scientists

Notable publications

• About Face: The Essentials of User Interface Design by Alan Cooper, about user interface design.

• The Capability Maturity Model by Watts Humphrey. Written for the Software Engineering Institute, emphasizing management and process. (See Managing the Software Process )

• The Cathedral and the Bazaar by Eric Raymond about open source development.

• The Decline and Fall of the American Programmer by Ed Yourdon predicts the end of software development in the U.S.

• Design Patterns by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides.

• Extreme Programming Explained by Kent Beck

• "Go To Statement Considered Harmful" by Edsger Dijkstra.

• "Internet, Innovation and Open Source:Actors in the Network" — First Monday article by Ilkka Tuomi (2000) source

• The Mythical Man-Month by Fred Brooks, about project management.

• Object-oriented Analysis and Design by Grady Booch.

• Peopleware by Tom DeMarco and Tim Lister.

• The pragmatic engineer versus the scientific designer by E. W. Dijkstra https://www.cs.utexas.edu/users/EWD/transcriptions/EWD06xx/EWD690.html

• Principles of Software Engineering Management by Tom Gilb about evolutionary processes.

• The Psychology of Computer Programming by Gerald Weinberg. Written as an independent consultant, partly about his years at IBM.

• Refactoring: Improving the Design of Existing Code by Martin Fowler, Kent Beck, John Brant, William Opdyke, and Don Roberts.

• The Pragmatic Programmer: from journeyman to master by Andrew Hunt, and David Thomas.

• Software Engineering Body of Knowledge (SWEBOK) ISO/IEC TR 19759

Related fields

• Computer science

• Information engineering

• Information technology

Traditional engineering

• Computer engineering

• Electrical engineering

Software engineering

• Domain engineering

• Information technology engineering

• Knowledge engineering

• User interface engineering

• Web engineering

Arts and Sciences

• Mathematics

• Computer science

• Information science

Application software

• Information systems

• Programming

• Systems engineering

See also

• Index of software engineering articles

• Search-based software engineering

• SWEBOK Software engineering body of knowledge

• CCSE Computing curriculum for software engineering

• Computer terms etymology, the origins of computer terms

• Complexity or scaling

• Second system syndrome

• optimization

• Source code escrow

• Feature interaction problem

• Certification (software engineering)

• Engineering disasters#Failure due to software

• Outline of software development

• List of AI-assisted software development tools

• List of software development philosophies

References

External links

• ACM Computing Classification System

• Guide to the Software Engineering Body of Knowledge (SWEBOK)

• Professional organizations

• British Computer Society

• Association for Computing Machinery

• IEEE Computer Society

• Professionalism

• SE Code of Ethics

• Professional licensing in Texas

• Education

• CCSE Undergraduate curriculum

• Standards:

• IEEE Software Engineering Standards

• Internet Engineering Task Force

• ISO

• Government organizations:

• European Software Institute

• Software Engineering Institute

• Agile:

• Organization to promote Agile software development

• Test driven development

• Extreme programming

• Other organizations:

• Online community for software engineers

• Software Engineering Society

• Demographics

• U.S. Bureau of Labor Statistics on SE

• Surveys:

• David Redmiles page from the University of California site

• Other:

• Full text in PDF from the NATO conference in Garmisch

• Computer Risks Peter G. Neumann's risks column.