Parámetros
- 308 páginas
- 11 horas de lectura
Más información sobre el libro
Often referred to as the "black art" because of its complexity and uncertainty, software estimation is not as difficult or puzzling as people think. In fact, generating accurate estimates is straightforward—once you understand the art of creating them.In his highly anticipated book, acclaimed author Steve McConnell unravels the mystery to successful software estimation—distilling academic information and real-world experience into a practical guide for working software professionals. Instead of arcane treatises and rigid modeling techniques, this guide highlights a proven set of procedures, understandable formulas, and heuristics that individuals and development teams can apply to their projects to help achieve estimation proficiency.
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Compra de libros
Software estimation. demystifying the black art., Steve McConnell
- Idioma
- Publicado en
- 2006
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- Título
- Software estimation. demystifying the black art.
- Idioma
- Inglés
- Autores
- Steve McConnell
- Editorial
- Microsoft Press
- Publicado en
- 2006
- Formato
- Tapa blanda
- Páginas
- 308
- ISBN10
- 0735605351
- ISBN13
- 9780735605350
- Serie
- Etiquetas
- No ficción, Comercio, Negocios & Gestión, Tecnología & Ingeniería, Ordenadores & Internet, Tecnología, Gestión & Recursos humanos, Software, Desarrollo de Software
- Primera publicación
- 2006
- Título original
- Sowtware Estimation: Demystifying the Black Art
- Calificación
- 4,05 de 5
- Descripción
- Often referred to as the "black art" because of its complexity and uncertainty, software estimation is not as difficult or puzzling as people think. In fact, generating accurate estimates is straightforward—once you understand the art of creating them.In his highly anticipated book, acclaimed author Steve McConnell unravels the mystery to successful software estimation—distilling academic information and real-world experience into a practical guide for working software professionals. Instead of arcane treatises and rigid modeling techniques, this guide highlights a proven set of procedures, understandable formulas, and heuristics that individuals and development teams can apply to their projects to help achieve estimation proficiency.