Empirical Foundations of Information and Software Science V
. Ed(S): Zunde, Pranas; Hocking, Dan
€ 66.41
FREE Delivery in Ireland
Description for Empirical Foundations of Information and Software Science V
Paperback. Editor(s): Zunde, Pranas; Hocking, Dan. Num Pages: 490 pages, biography. BIC Classification: UB; UMZ; UY. Category: (G) General (US: Trade). Dimension: 244 x 170 x 25. Weight in Grams: 853.
This is the proceedings of the Sixth Symposium on Empirical Foundations of Information and Software Sciences (EFISS), which was held in Atlanta, Georgia, on October 19-21, 1988. The purpose of the symposia is to explore subjects and methods of scientific inquiry which are of common interest to information and software sciences, and to identify directions of research that would benefit from the mutual interaction of these two disciplines. The main theme of the sixth symposium was modeling in information and software engineering, with emphasis on methods and tools of modeling. The symposium covered topics such as models of individual and ... Read more
This is the proceedings of the Sixth Symposium on Empirical Foundations of Information and Software Sciences (EFISS), which was held in Atlanta, Georgia, on October 19-21, 1988. The purpose of the symposia is to explore subjects and methods of scientific inquiry which are of common interest to information and software sciences, and to identify directions of research that would benefit from the mutual interaction of these two disciplines. The main theme of the sixth symposium was modeling in information and software engineering, with emphasis on methods and tools of modeling. The symposium covered topics such as models of individual and ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
490
Condition
New
Number of Pages
490
Place of Publication
New York, NY, United States
ISBN
9781468458640
SKU
V9781468458640
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Empirical Foundations of Information and Software Science V