Queue is published 6 times per year, with issues available via an app on iPhone and iPad and Android devices or via a browser-based 'digital edition' (DE).
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Volume 22, Issue 4 (July/August 2024) Table of Contents
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Features
GPTs and Hallucination
While GPTs can be useful tools for mundane tasks, they struggle with topics where there's limited information online, which can lead to nonsensical answers presented as facts.
Jim Waldo and Soline Boussard
Assessing IT Project Success: Perception vs. Reality
A survey of project managers counters the assumption that most IT projects are problematic and tend to fail by surfacing evidence that most of these projects actually are achieving high levels of success.
João Varajão and António Trigo
Questioning the Criteria for Evaluating Non-cryptographic Hash Functions
Security is not the primary requirement of non-cryptographic hash functions, but maybe we need to give that some more thought.
Catherine Hayes and David Malone
Confidential Computing Proofs
CCPs provide an alternative to Zero-Knowledge Proofs. While both cryptographic algorithms deliver similar functionality, there are tradeoffs as to security, performance, usability and scalability.
Mark Russinovich, Cédric Fournet, Greg Zaverucha, Josh Benaloh, Brandon Murdoch, Manuel Costa
CASE STUDY
Program Merge: What's Deep Learning Got to Do with It?
A group of researchers at Microsoft decided to tackle the difficult challenge of resolving program merge conflicts and thought it would be good to see how some deep-learning models might be applied to the problem.
A discussion with Shuvendu Lahiri, Alexey Svyatkovskiy, Christian Bird, Erik Meijer and Terry Coatta
COLUMNS
RESEARCH FOR PRACTICE
Deterministic Record-and-Play
The key insight is that these systems can focus solely on storing information about the non-deterministic actions of the process.
Andrew Quinn with Introduction by Peter Alvaro
BRIDGING THE MOAT
Test Accounts: A Hidden Risk
"Don't test in production" is a rule nearly every software engineer is guilty of breaking at some point. When those occasions arise, here are some rules for avoiding the risks.
Phil Vachon
KODE VICIOUS
Unwanted Surprises
If you don't know what you're operating on, or what the expected output range might be, then maybe you shouldn't be operating on that data in the first place.
George V. Neville-Neil
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