Statistical Methods in Software Engineering: Reliability and Risk
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1999
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This preface pertains to three issues that we would like to bring to the attention of the readers: our objectives, our intended audience, and the nature of the material. We have in mind several objectives. The first is to establish a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. The second is to bring into perspective the large body of work having statistical content that is relevant to software engineering, which may not have appeared in the traditional outlets devoted to it. Connected with this second objective is a desire to streamline and organize our own thinking and work in this area. Our third objective is to provide a platform that facilitates an interface between computer scientists and statisticians to address a class of problems in computer science. It appears that such an interface is necessary to provide the needed synergism for solving some difficult problems that the subject poses. Our final objective is to serve as an agent for stimulating more cross-disciplinary research in computer science and statistics. To what extent the material here will meet our objectives can only be assessed with the passage of time. Our intended audience is computer scientists, software engineers, and reliability analysts, who have some exposure to probability and statistics. Applied statisticians interested in reliability problems are also a segment of our intended audience |
| Beschreibung: | 1 Online-Ressource (XIV, 297 p) |
| ISBN: | 9781461205654 9781461268208 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4612-0565-4 |
Internformat
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Datensatz im Suchindex
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| author | Singpurwalla, Nozer D. |
| author_facet | Singpurwalla, Nozer D. |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-0565-4 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:05Z |
| institution | BVB |
| isbn | 9781461205654 9781461268208 |
| issn | 0172-7397 |
| language | English |
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| spelling | Singpurwalla, Nozer D. Verfasser aut Statistical Methods in Software Engineering Reliability and Risk by Nozer D. Singpurwalla, Simon P. Wilson New York, NY Springer New York 1999 1 Online-Ressource (XIV, 297 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 This preface pertains to three issues that we would like to bring to the attention of the readers: our objectives, our intended audience, and the nature of the material. We have in mind several objectives. The first is to establish a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. The second is to bring into perspective the large body of work having statistical content that is relevant to software engineering, which may not have appeared in the traditional outlets devoted to it. Connected with this second objective is a desire to streamline and organize our own thinking and work in this area. Our third objective is to provide a platform that facilitates an interface between computer scientists and statisticians to address a class of problems in computer science. It appears that such an interface is necessary to provide the needed synergism for solving some difficult problems that the subject poses. Our final objective is to serve as an agent for stimulating more cross-disciplinary research in computer science and statistics. To what extent the material here will meet our objectives can only be assessed with the passage of time. Our intended audience is computer scientists, software engineers, and reliability analysts, who have some exposure to probability and statistics. Applied statisticians interested in reliability problems are also a segment of our intended audience Statistics Software engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Software Engineering Statistik Statistik (DE-588)4056995-0 gnd rswk-swf Software Engineering (DE-588)4116521-4 gnd rswk-swf Software Engineering (DE-588)4116521-4 s Statistik (DE-588)4056995-0 s 1\p DE-604 Wilson, Simon P. Sonstige oth https://doi.org/10.1007/978-1-4612-0565-4 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Singpurwalla, Nozer D. Statistical Methods in Software Engineering Reliability and Risk Statistics Software engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Software Engineering Statistik Statistik (DE-588)4056995-0 gnd Software Engineering (DE-588)4116521-4 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4116521-4 |
| title | Statistical Methods in Software Engineering Reliability and Risk |
| title_auth | Statistical Methods in Software Engineering Reliability and Risk |
| title_exact_search | Statistical Methods in Software Engineering Reliability and Risk |
| title_full | Statistical Methods in Software Engineering Reliability and Risk by Nozer D. Singpurwalla, Simon P. Wilson |
| title_fullStr | Statistical Methods in Software Engineering Reliability and Risk by Nozer D. Singpurwalla, Simon P. Wilson |
| title_full_unstemmed | Statistical Methods in Software Engineering Reliability and Risk by Nozer D. Singpurwalla, Simon P. Wilson |
| title_short | Statistical Methods in Software Engineering |
| title_sort | statistical methods in software engineering reliability and risk |
| title_sub | Reliability and Risk |
| topic | Statistics Software engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Software Engineering Statistik Statistik (DE-588)4056995-0 gnd Software Engineering (DE-588)4116521-4 gnd |
| topic_facet | Statistics Software engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Software Engineering Statistik |
| url | https://doi.org/10.1007/978-1-4612-0565-4 |
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