Statistical Techniques for Software Engineering Practice
Many factors are combining to promote theuse of quantitative and statistical methods bypracticing software engineers. While thesetechniques are not new to industry in general,they are relatively new to the software industry.Consequently, there is significant uncertainty inthe community about their d...
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| Published in: | International Conference on Software Engineering: Proceedings of the 26th International Conference on Software Engineering; 23-28 May 2004 pp. 722 - 723 |
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| Main Author: | |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
Washington, DC, USA
IEEE Computer Society
23.05.2004
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| Series: | ACM Conferences |
| Subjects: |
Computing methodologies
> Modeling and simulation
> Model development and analysis
> Model verification and validation
Mathematics of computing
> Probability and statistics
> Statistical paradigms
> Statistical graphics
Social and professional topics
> Professional topics
> Management of computing and information systems
> Implementation management
> Pricing and resource allocation
Social and professional topics
> Professional topics
> Management of computing and information systems
> Project and people management
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| ISBN: | 9780769521633, 0769521630 |
| ISSN: | 0270-5257 |
| Online Access: | Get full text |
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| Summary: | Many factors are combining to promote theuse of quantitative and statistical methods bypracticing software engineers. While thesetechniques are not new to industry in general,they are relatively new to the software industry.Consequently, there is significant uncertainty inthe community about their difficulty andapplicability. This tutorial provides anintroduction to basic concepts and shows howthey can be applied to help solve commonsoftware engineering problems. |
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| Bibliography: | SourceType-Conference Papers & Proceedings-1 ObjectType-Conference Paper-1 content type line 25 |
| ISBN: | 9780769521633 0769521630 |
| ISSN: | 0270-5257 |
| DOI: | 10.5555/998675.999487 |

