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Walk a Mile in Their Shoes
From Communications of the ACM

Walk a Mile in Their Shoes

The COVID-19 pandemic through the lens of four tech workers.

Linear Address Spaces
From Communications of the ACM

Linear Address Spaces

Unsafe at any speed.

Middleware 101
From Communications of the ACM

Middleware 101

What to know now and for the future.

Persistence Programming
From Communications of the ACM

Persistence Programming

Are we doing this right?

FPGAs in Client Compute Hardware
From Communications of the ACM

FPGAs in Client Compute Hardware

Despite certain challenges, FPGAs provide security and performance benefits over ASICs.

Interpretable Machine Learning
From Communications of the ACM

Interpretable Machine Learning: Moving from Mythos to Diagnostics

A path forward for the ML community to address a stark disconnect.

The Keys to the Kingdom
From Communications of the ACM

The Keys to the Kingdom

A deleted private key, a looming deadline, and a last chance to patch a new static root of trust into the bootloader.

Surveillance Too Cheap to Meter
From Communications of the ACM

Surveillance Too Cheap to Meter

Stopping Big Brother would require an expensive overhaul of the entire system.

The Software Industry Is <i>Still</i> the Problem
From Communications of the ACM

The Software Industry Is Still the Problem

The time is (also) way overdue for IT professional liability.

Lamboozling Attackers
From Communications of the ACM

Lamboozling Attackers: A New Generation of Deception

Software engineering teams can exploit attackers' human nature by building deception environments.

It Takes a Community
From Communications of the ACM

It Takes a Community: The Open Source Challenge

A discussion with Reynold Xin, Wes McKinney, Alan Gates, and Chris McCubbin.

Meaning and Context in Computer Programs
From Communications of the ACM

Meaning and Context in Computer Programs

Sharing domain knowledge among programmers using the source code as the medium.

Federated Learning and Privacy
From Communications of the ACM

Federated Learning and Privacy

Building privacy-preserving systems for machine learning and data science on decentralized data.

Human-Centered Approach to Static-Analysis-Driven Developer Tools
From Communications of the ACM

Human-Centered Approach to Static-Analysis-Driven Developer Tools

The future depends on good HCI.

A Conversation with Margo Seltzer and Mike Olson
From Communications of the ACM

A Conversation with Margo Seltzer and Mike Olson

The history of Berkeley DB.

Static Analysis at GitHub
From Communications of the ACM

Static Analysis at GitHub

An experience report.

Designing UIs for Static-Analysis Tools
From Communications of the ACM

Designing UIs for Static-Analysis Tools

Evaluating tool design guidelines with SWAN.

Declarative Machine Learning Systems
From Communications of the ACM

Declarative Machine Learning Systems

The future of machine learning will depend on it being in the hands of the rest of us.

Static Analysis
From Communications of the ACM

Static Analysis

The fundamental challenge of software engineering is one of complexity.

When Curation Becomes Creation
From Communications of the ACM

When Curation Becomes Creation

Algorithms, microcontent, and the vanishing distinction between platforms and creators.
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