Allison is a freelance writer, fitness enthusiast, and long-time advocate of the ketogenic lifestyle. Once overweight, she contributes her success in losing over 75 lbs to both a low-carb, high-fat diet and moderate exercise. Residing in Tacoma, Washington, Allison enjoys getting out to explore the Pacific Northwest with her two children and taking in baseball games on lazy Sunday afternoons.
Once the software passes automated tests, it may be released into production (depending on the preferred rate of deployment). This process is called Continuous Delivery. The preferred frequency is the difference between Continuous Delivery and Continuous Deployment. You achieve Continuous Delivery with the steps required for CI. The emphasis on automated testing (and automated builds) for quality assurance capitalizes on the efficiency of successful test automation and is essential to this practice.
The reality is, there is no “better” or “worse” in the automated vs. manual debate, there’s just “different.” Each approach has its own advantages and disadvantages. Manual testing is performed by a human sitting in front of a computer carefully going through application via SQL and log analysis, trying various usage and input combinations, comparing the results to the expected behavior and recording the results. Automated testing is often used after the initial software has been developed. Lengthy tests that are often avoided during manual testing can be run unattended. They can even be run on multiple computers with different configurations.
Another term for this kind of automation is something Michael Bolton and James Bach call checking, a decision rule that can be interpreted by an algorithm as pass or fail. Computers can do this kind of work, and do it well. Having check automation run at the code level -- unit tests -- or user interface level can vastly improve quality and catch obvious errors quickly before a human even looks at the software.
Choosing the framework for your project comes down to deciding what guidelines will produce the desired results of the automated tests. Often, developers end up designing a custom framework. This requires experienced testers and dedication to planning for the changes that may arise while implementing the automated testing. In some cases, an existing automation tool already has the functionality necessary to achieve the desired result of automated tests.
The iCamera Keep Pro from iSmartAlarm ($199.99) is a full-featured home security camera that not only works as a standalone device, but can be incorporated into an iSmartAlarm DIY security system. The camera is full of useful features including a powerful 1080p image sensor, motion and sound detection, mechanical pan and tilt, time-lapse and event-triggered video recording, and a motion-tracking feature that allows the camera to follow a person around the room. Throw in free cloud storage, an SD card slot for local storage, and support for IFTTT integration, and you've got a killer indoor security cam.
As most people in the software industry know, there are distinct differences between manual testing and automated testing. Manual testing requires physical time and effort to ensure the software code does everything it’s supposed to do. In addition, manual testers have to make a record of their findings. This involves checking log files, external services and the database for errors. If you’re familiar with manual testing, you know this process can be extremely time-consuming and repetitive.
Automated testing is, well, automated. This differs from manual testing where a human being is responsible for single-handedly testing the functionality of the software in the way a user would. Because automated testing is done through an automation tool, less time is needed in exploratory tests and more time is needed in maintaining test scripts while increasing overall test coverage.
Phenomenally successful and for good reason, MyFitnessPal app makes it incredibly easy to log your meals and snacks, either by searching for them or scanning product barcodes. It has a huge database of more than 5 million foods and you can save and re-use your logged meals. The app allows you to set goals and displays simple but clear graphs to give you a visual report of your progress. You can also connect with friends and family for extra encouragement, join forums and swap tips with the community.
Manufacturers have produced a wide variety of “smart” devices, many of which are full of innovative features but few of which offer the kind of integration needed to be part of a complete home automation system. Much of the problem has been that each manufacturer has a different idea of how these devices should be connected and controlled. So while you may have a “smart” TV, washing machine, refrigerator, thermostat, coffee maker or any of the other Internet-ready household devices on the market, the end result is usually a separate control scheme for each device.
No stranger to outdoor appliances, Sweden-based Husqvarna offers a variety of robot lawn mowers for yards of all shapes and sizes. We got our hands on the Automower 315X, a high-end, feature-packed model with a premium $1,999.95 price. The 315X works with a well-designed mobile app that lets you use your phone to start and stop the mower, monitor its progress, create schedules, and see where it's been on a map of your property. Its user-friendly programming options, outstanding cutting performance, and quiet operation earn it our Editors' Choice for robotic lawn mowers.
We propose a change in mindset, on the part of both workers and providers of work, that will lead to different outcomes—a change from pursuing automation to promoting augmentation. This seemingly simple terminological shift will have deep implications for how organizations are managed and how individuals strive to succeed. Knowledge workers will come to see smart machines as partners and collaborators in creative problem solving.
These success factors make RPA a reasonable, low cost and lower risk entry-level approach to AI even if the technology is not very smart today. RPA nicely lays the foundation for more intelligent applications later. And even without the potential of more intelligent RPA, the ease of implementation and rapid ROI from many RPA projects makes them worth strong consideration for almost any firm today.
IBM helps clients around the world transform and manage functional and industry-specific processes to achieve intelligent digital operations. These services rely on AI, process automation and advanced analytics to help deliver higher quality processes at lower cost with less risk. IBM process automation services address the four fundamentals of process design.