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Great Testing Comes from Great Questions Testing is all about gathering information, and the most direct way to gather information is by asking questions. The more questions we ask (tests we perform), the more answers we receive (information we gain). But some questions are harder than others and require more human involvement. Let automation handle the easy! |
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Security Testing and Assessing Risk: A Slack Takeover with Shachar Schiff Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. Shachar Schiff, founder and principal consultant at BadTesting, hosted this Slack takeover and discussed assessing code coverage like a risk analyst, risk assessments outside security, and more. |
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Before Data Analysis, You Need Data Preparation One of the prerequisites for any type of analytics in data science is data preparation. Raw data usually has several shortcomings in structure, format, and consistency, so first it has to be converted to a usable form. These are some types of data preparation you can conduct to make your data useful for analysis. |
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Automation Face-Off: A Conversation with Michael Bolton, Isabel Evans, and Chris Loder Automation is a pressing topic. In a recent STARCANADA keynote session, industry experts Michael Bolton, Isabel Evans, and Chris Loder took to the conference stage to discuss some of the burning questions about automation from test professionals in the audience. Here’s a sample of their conversations. |
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Getting Support for the Tests You Need Done It’s often hard for teams to get sufficient time and resources for the amount and quality of tests they think are needed. It’s like management wants testing done but at the same time doesn’t want to commit what’s needed to do it. If that's your case, look at the business side, rank priorities, and negotiate resources. |
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Rethinking Your Measurement and Metrics for Agile and DevOps In their transition to agile and DevOps, many teams forget they also need to update their measurement and metrics plan. Some measurements and metrics from the traditional waterfall software development lifecycle may remain useful, but many may not provide value—and some may even adversely impact progress toward goals. |
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Security Tips for App Development When companies develop applications they consider competitors and the market, but the most important aspect is cybersecurity. Developers need to release apps that don’t put consumers or their data in danger. Here are five tips that app developers should keep in mind to create and maintain the most secure apps possible. |
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Exploring Big Data Options in the Apache Hadoop Ecosystem With the emergence of the World Wide Web came the need to manage large, web-scale quantities of data, or “big data.” The most notable tool to manage big data has been Apache Hadoop. Let’s explore some of the open source Apache projects in the Hadoop ecosystem, including what they're used for and how they interact. |
