Testing and Test Control Notation version 3: TTCN-3 core language

Testing and Test Control Notation version 3: TTCN-3 language extensions: Object-oriented features

Testing and Test Control Notation version 3: TTCN-3 language extensions: Advanced matching

Testing and Test Control Notation version 3: TTCN-3 language extensions: Configuration and deployment support

Testing and Test Control Notation version 3: Using JSON with TTCN-3

Testing and Test Control Notation version 3: Using XML schema with TTCN-3

Testing and Test Control Notation version 3: The IDL to TTCN-3 mapping

Testing and Test Control Notation version 3: Using ASN.1 with TTCN-3

Testing and Test Control Notation version 3: TTCN-3 core language

Testing and Test Control Notation version 3: TTCN-3 language extensions: Object-oriented features

Testing and Test Control Notation version 3: TTCN-3 language extensions: Behaviour types

Testing and Test Control Notation version 3: TTCN-3 language extensions: Advanced parameterization

Testing and Test Control Notation version 3: TTCN-3 language extensions: Configuration and deployment support

Testing and Test Control Notation version 3: Using ASN.1 with TTCN-3

Testing and Test Control Notation version 3: TTCN-3 control interface (TCI)

Testing and Test Control Notation version 3: TTCN-3 extension package: Extended TRI

Testing and Test Control Notation version 3: TTCN-3 Language Extensions: Object-oriented features

Testing and Test Control Notation version 3: TTCN-3 core language

Testing and Test Control Notation version 3: TTCN-3 language extensions: Advanced matching

Testing and Test Control Notation version 3: TTCN-3 language extensions: Performance and real time testing

Testing and Test Control Notation version 3: TTCN-3 language extensions: Behaviour types

Testing and Test Control Notation version 3: TTCN-3 language extensions: Advanced parameterization

Testing and Test Control Notation version 3: TTCN-3 language extensions: Configuration and deployment support

Testing and Test Control Notation version 3: TTCN-3 language extensions: Support of interfaces with continuous signals

Testing and Test Control Notation version 3: TTCN-3 runtime interface (TRI)

Testing and Test Control Notation version 3: Using JSON with TTCN-3

Testing and Test Control Notation version 3: TTCN-3 control interface (TCI)

Testing and Test Control Notation version 3: TTCN-3 core language

Criteria for optical cable installation with minimal existing infrastructure

PSTN/ISDN terminal equipment using IP multimedia core network subsystem; Conformance testing - Part 2: Test suite structure and test purposes

PSTN/ISDN terminal equipment using IP Multimedia core network subsystem; Conformance testing; Part 1: PICS

Cloud interoperability testing for web applications - part 1: Interoperability testing between the CSC and CSP

Interoperability testing requirements of a virtual switch

Testing methodologies of Internet related performance measurements including e2e bit rate within the fixed and mobile operators' networks

Signalling procedures of the probes to be used for remote testing of network parameters

The compatibility testing of SDN-based equipment using OpenFlow protocol

Single-ended line testing for digital subscriber lines

When it comes to testing your user experiences, there are plenty of methods you can use that will get you the information you need. From interviews to assistive technology testing, these methods offer a more streamlined and beneficial process capable of revealing the insights you need to revolutionize your UX. But how can you know […]

The post Testing: User, Usability, and Others You Should Be Using appeared first on Usability Geek

DNA-testing company 23andMe (Nasdaq: ME), once an industry leader that attracted millions of customers, including rapper Snoop Dogg and investor Warren Buffett, has announced significant cuts to its operations, with plans to lay off 200 employees or roughly 40% of its workforce. The company also said it will discontinue development of its therapeutic programs. Here’s what to know about the latest development and what led up to it.

Board exodus

The latest move comes as the company looks to stabilize after facing significant challenges, including the resignation of all seven independent board members in October.

Data breach

Last year, 23andMe suffered a massive data breach when hackers accessed the personal information of 6.9 million users. The incident led to a class-action lawsuit, which, in September, 23andMe agreed to settle for $30 million.

The problem with SPACs

In 2021, 23andMe went public through a merger with a special purpose acquisition company, or SPAC. It later expanded into drug-discovery and weight-loss sectors. However, as DNA test kit sales declined, so did its financial health. By fiscal 2023, it reported a $312 million net loss, with its stock down 98% since going public, currently at about $4 after a reverse stock split in October 2024.

Separate reports have found that things have often not ended well for companies that took advantage of the pandemic-era SPAC boom, which led to billions in losses for investors and a number of bankruptcies for companies.

What’s next for 23andMe and its employees?

The layoffs are expected to result in $12 million in severance, termination, and transition-related costs and are part of a broader plan to streamline the business and achieve annual cost savings of $35 million.

The company says it is exploring various strategic options for its therapeutic programs, including potential licensing agreements and the sale of assets in its development pipeline.

“We are taking these difficult but necessary actions as we restructure 23andMe and focus on the long-term success of our core consumer business and research partnerships,” said Anne Wojcicki, cofounder, CEO, and chair of the board, in a statement.

Shares of 23andMe were up almost 6% to $4.87 on the news, which was announced late yesterday. The stock is down more than 73% year to date.

Never lose a gem of a tweet to the ravages of the algorithmic timeline again.

Read more: Twitter is testing a feature allowing users to bookmark tweets

New data from LinkedIn on the most in-demand jobs on the platform in the third quarter of this year reveals that software engineering is in second place. Just pipped to the post by sales roles, it is clear that software engineering and development pros are in high demand. Additionally, full stack engineers and application developers feature in the top ten in-demand roles at places eight and ten respectively. Software roles are in such high prominence because software powers pretty much everything. According to McKinsey, these days, “Every company is a software company.” Traditional bricks and mortar businesses are now increasingly…

This story continues at The Next Web

GAF Energy plans to build a state-of-the-art solar roofing testing facility in collaboration with Sandia National Laboratories — with support from the U.S. Department of Energy — to enhance understanding of solar shingles' benefits for heating and air conditioning efficiency.

To help restore a historic home that withstood a century of storms and saltwater, a Rhode Island roofing contractor turned to STINGER to protect its roof from what the coastline throws at it.

There's still time to be a part of Best of Success 2021, even if you can't be there in person, with RC's Broadcasting Live.

Kaley Cuoco, star of "The Big Bang Theory," is developing a pretty lucrative side biz hosting awards shows. She's hosted the past two People's Choice Awards, a Teen Choice Awards, and it has just been announced that she will host the Academy of Television Arts & Sciences Hall of Fame...

Tim Odom, director of Business Technology Solutions Development at Vidoori, joins host John Gilroy on this week's Federal Tech Talk, to explain how high-performance testing can help federal leaders complete major tasks on time and under budget.

The post The value of high performance testing first appeared on Federal News Network.

The Army I Corps used the recent Yama Sakura 85 exercise to further prove out how to create a single, secure network to share information with allied partners.

The post How the Army is always testing, training on zero trust first appeared on Federal News Network.

AI developers DataRobot and Palantir Technologies Inc have entered into a new partnership designed to create unique, agile and real-time solutions to help solve the most pressing demand forecasting problems.

PredictHQ has announced its Demand Impact Pattern for severe weather events, with data sets to help businesses prepare for major weather events and mitigate overall impact by integrating into machine learning models for demand forecasting.

CJ Lang & Son Ltd, the wholesaler for SPAR in Scotland, and the major Scottish convenience store franchise with over 300 stores across the country, has selected RELEX, provider of unified supply chain and retail planning solutions, to automate and optimise its supply chain processes.