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Designing Data Models for Self-Documented Tests When testing applications, documenting and interpreting test results can be a challenge. Data models enable us to collect and process test data more dynamically and uniformly. To design effective data models for self-documented tests, there are three important things to consider: what to document, collect, and report. |
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Building Culturally Inclusive AI Models For us to build the most effective technology, we need to learn from our past and build our future with more comprehensive data sets with cultural intelligence. This means AI that recognizes your story, chatbots that speak to you more authentically, and smart assistants that have inclusive data about your ancestry. |
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DevOps Transformations for QA Teams: A Slack Takeover with Stacy Kirk Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. QA architect an agile coach Stacy Kirk, founder of QualityWorks Consulting Group LLC and nodeqa.io, hosted this Slack takeover and discussed improving teams by implementing DevOps practices. |
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Debunking 4 Myths of DevSecOps Adoption DevSecOps means more secure applications through greater collaboration. However, many organizations hold preconceived notions and misconceptions about what DevSecOps is and why their organizations will face challenges in adopting it. Here are four common myths about DevSecOps transformation, along with the truth. |
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A DevOps Approach to Mobile App Development DevOps has completely transformed the mobile app development scenario, and it’s a good choice for any business looking to create an app. Let's look at what DevOps means in the context of developing a mobile app, some of the key benefits of a DevOps approach, and five crucial factors to keep in mind during development. |
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Selecting a Database for Your Data Needs Data requirements vary, and with so many different types of databases, selecting which to use can be a tricky choice. It all depends on what your database will be used for, the data structure, and the scale of data. Let’s look at six popular database types so you can decide which would be best for your situation. |
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Detecting and Preventing Android Security Risks Even though the Android app development process involves thorough verification, there has been no preventing new malware from being developed. Here are some of the most common potential security risks Android users should watch out for, as well as some measures to take to protect your smartphone, data, and privacy. |