The Digital Library : Academic Computing Reviews Pricing
An annual subscription to Computing Reviews for academic institutions allows for access to the database with no limits to the concurrent users or downloads.
For academic institutions in the United States ACM uses Carnegie Classification based tiers.
2014 Academic Computing Reviews Pricing - United States is as follows:
|Tier||2014 Tier List Price||2014 Consortium
Discount Pricing (50%)
|1||$ 460||$ 230|
|2||$ 2,590||$ 1,295|
|3||$ 2,878||$ 1,439|
|4||$ 3,030||$ 1,515|
|5||$ 3,190||$ 1,595|
ACM has one price. 2014 Academic Computing Reviews Pricing - International is as follows:
|2014 List Price||2014 Discounted
|$ 2,878||$ 1,439|
Please contact ACM at email@example.com or your consortia administrator for more information on consortia discounts.
Why I Belong to ACM
Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.
Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.
ACM Queue’s “Research for Practice” consistently serves up expert-curated guides to the best of computing research, and relates these breakthroughs to the challenges that software engineers face every day. This installment of RfP is by Anna Wiedemann, Nicole Forsgren, Manuel Wiesche, Heiko Gewald, and Helmut Krcmar. Titled “The DevOps Phenomenon,” this RfP gives an overview of stories from across the industry about software organizations overcoming the early hurdles of adopting DevOps practices, and coming out on the other side with tighter integration between their software and operations teams, faster delivery times for new software features, and achieving a higher level of stability.