Cleanroom software engineering

Short description: Software design methodology

Software development

Core activities

* Processes
* Requirements
* Design
* Engineering
* Construction
* Testing
* Debugging
* Deployment
* Maintenance

Paradigms and models

* Agile
* Cleanroom
* Incremental
* Prototyping
* Spiral
* V model
* Waterfall

Methodologies and frameworks

* ASD
* DevOps
* DAD
* DSDM
* FDD
* IID
* Kanban
* Lean SD
* LeSS
* MDD
* MSF
* PSP
* RAD
* RUP
* SAFe
* Scrum
* SEMAT
* TSP
* UP
* XP

Supporting disciplines

* Configuration management
* Documentation
* Software quality assurance (SQA)
* Project management
* User experience

Practices

* ATDD
* BDD
* CCO
* CI
* CD
* DDD
* PP
* SBE
* Stand-up
* TDD

Tools

* Compiler
* Debugger
* Profiler
* GUI designer
* Modeling
* IDE
* Build automation
* Release automation
* Infrastructure as code
* Testing

Standards and Bodies of Knowledge

* BABOK
* CMMI
* IEEE standards
* ISO 9001
* ISO/IEC standards
* PMBOK
* SWEBOK
* ITIL

Glossaries

* Artificial intelligence
* Computer science
* Electrical and electronics engineering

* v
* t
* e

The cleanroom software engineering  process is a software development process intended to produce software with a certifiable level of reliability. The central principles are software development based on formal methods, incremental implementation under statistical quality control, and statistically sound testing.

## Contents

* 1 History
* 2 Philosophy
* 3 Central principles
* 4 References
* 5 Further reading
* 6 External links

## History

The cleanroom process was originally developed by Harlan Mills and several of his colleagues including Alan Hevner at IBM.[1]

The cleanroom process first saw use in the mid to late 1980s. Demonstration projects within the military began in the early 1990s.[2] Recent work on the cleanroom process has examined fusing cleanroom with the automated verification capabilities provided by specifications expressed in CSP.[3]

## Philosophy

The focus of the cleanroom process is on defect prevention rather than defect removal. The name "cleanroom" was chosen to evoke the cleanrooms used in the electronics industry to prevent the introduction of defects during the fabrication of semiconductors.

## Central principles

The basic principles of the cleanroom process are

Software development based on formal methods
Software tool support based on some mathematical formalism includes model checking, process algebras, and Petri nets. The Box Structure Method might be one such means of specifying and designing a software product.[4] Verification that the design correctly implements the specification is performed through team review, often with software tool support.

Incremental implementation under statistical quality control
Cleanroom development uses an iterative approach, in which the product is developed in increments that gradually increase the implemented functionality. The quality of each increment is measured against pre-established standards to verify that the development process is proceeding acceptably. A failure to meet quality standards results in the cessation of testing for the current increment and a return to the design phase.

Statistically sound testing
Software testing in the cleanroom process is carried out as a statistical experiment. Based on the formal specification, a representative subset of software input/output trajectories is selected and tested. This sample is then statistically analyzed to produce an estimate of the reliability of the software and a level of confidence in that estimate.

## References

1. ↑ Mills, H.; M. Dyer; R. Linger (September 1987). "Cleanroom Software Engineering". IEEE Software 4 (5): 19-25. doi:10.1109/MS.1987.231413. Bibcode: 1987ISoft...4e..19M. https://www.zora.uzh.ch/id/eprint/88170/1/GlinzFricker2013.pdf.
2. ↑ Foreman, John (2005). "Cleanroom Software Engineering Reference". Software Technology Roadmap. Software Engineering Institute (SEI). http://www.sei.cmu.edu/library/abstracts/reports/96tr022.cfm.
3. ↑ Guy H. Broadfoot and P. J. Hopcroft (2005). Introducing formal methods into industry using Cleanroom and CSP. Dedicated Systems e-Magazine.
4. ↑ Linger, R. (April 1994). "Cleanroom Process Model". IEEE Software 11 (2): 50-58. doi:10.1109/52.268956. Bibcode: 1994ISoft..11b..50L.

## Further reading

* Stavely, Allan (1999). Toward Zero-Defect Programming. Addison-Wesley.
* Stacy J. Prowell and Carmen J. Trammell and Richard C. Linger and Jesse H. Poore (1999). Cleanroom Software Engineering: Technology and Process. Addison-Wesley.
* Jesse H. Poore and Carmen J. Trammell (1996). Cleanroom Software Engineering: A Reader. NCC Blackwell.

## External links

* An introduction

* v
* t
* e

Software engineering

Fields|

* Computer programming
* Requirements engineering
* Software deployment
* Software design
* Software maintenance
* Software testing
* Systems analysis
* Formal methods

Concepts|

* Data modeling
* Enterprise architecture
* Functional specification
* Modeling language
* Orthogonality
* Programming paradigm
* Software
* Software archaeology
* Software architecture
* Software configuration management
* Software development methodology
* Software development process
* Software quality
* Software quality assurance
* Software verification and validation
* Structured analysis

Orientations|

* Agile
* Aspect-oriented
* Object orientation
* Ontology
* Service orientation
* SDLC

Models|

| Developmental|

* Agile
* EUP
* Executable UML
* Incremental model
* Iterative model
* Prototype model
* RAD
* UP
* Scrum
* Spiral model
* V-Model
* Waterfall model
* XP

|

Other|

* SPICE
* CMMI
* Data model
* ER model
* Function model
* Information model
* Metamodeling
* Object model
* Systems model
* View model

Languages|

* IDEF
* UML
* USL
* SysML

Software
engineers

* Victor Basili
* Kent Beck
* Grady Booch
* Fred Brooks
* Barry Boehm
* Peter Chen
* Danese Cooper
* Ward Cunningham
* Tom DeMarco
* Edsger W. Dijkstra
* Delores M. Etter
* Martin Fowler
* Adele Goldstine
* Margaret Hamilton
* C. A. R. Hoare
* Lois Haibt
* Mary Jean Harrold
* Grace Hopper
* Watts Humphrey
* Michael A. Jackson
* Ivar Jacobson
* Alan Kay
* Nancy Leveson
* Stephen J. Mellor
* Bertrand Meyer
* David Parnas
* Trygve Reenskaug
* Winston W. Royce
* James Rumbaugh
* Mary Shaw
* Peri Tarr
* Elaine Weyuker
* Niklaus Wirth
* Edward Yourdon

Related fields|

* Computer science
* Computer engineering
* Project management
* Risk management
* Systems engineering

* Category
* Commons

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