Pricelists.org Pricelists.org Zaloguj się Załóż konto

Statistical Methods in Software Engineering

☆☆☆☆☆ (0 opinii)
Pokaż historię cen
Statistical Methods in Software Engineering
Najniższa cena (z dostawą)
114,39 EUR
Typowa cena2 074,12 PLN
Najniższa (90 dni)109,99 PLN
Liczba ofert2
Ostatnia aktualizacja4 dni temu
Zobacz najlepszą ofertę
Sprzedawca Cena produktu Dostawa Razem Dostępność Aktualizacja
SP SpringerNatureLink Shop INT 114,39 EUR 0 zł 114,39 EUR Dostępny 4 dni temu Zobacz ofertę
SP Springer Nature Author 21 449,00 JPY 25,00 JPY 21 474,00 JPY Dostępny 4 dni temu Zobacz ofertę

Ceny i dostępność mogą ulec zmianie. Ostatnia aktualizacja: 08.08.2026 23:26.

0,0
☆☆☆☆☆
0 opinii
5★ 0%
4★ 0%
3★ 0%
2★ 0%
1★ 0%

Opinie o produkcie

Ocena
Brak opinii — bądź pierwszy!
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.

Podobne produkty