Agent-assisted automation refers to automation used by call center agents to handle customer inquiries. There are two basic types: desktop automation and automated voice solutions. Desktop automation refers to software programming that makes it easier for the call center agent to work across multiple desktop tools. The automation would take the information entered into one tool and populate it across the others so it did not have to be entered more than once, for example. Automated voice solutions allow the agents to remain on the line while disclosures and other important information is provided to customers in the form of pre-recorded audio files. Specialized applications of these automated voice solutions enable the agents to process credit cards without ever seeing or hearing the credit card numbers or CVV codes[90]
While ensuring quality at all times is of utmost importance to this model, it’s not all that counts. The speed at which all of the development and testing occurs also matters quite a lot. That’s because if something in the pipeline stalls or breaks down, it holds up everything else and slows down the release of new developments. And given that the need to deliver new releases faster and on a more regular basis paved the way for this continuous delivery and testing model, that roadblock defeats the purpose of taking this approach.
“It’s important to understand that are versions of each of the macronutrients that are healthier than others,” says Lauren Kelly, a registered dietitian in New York City. “It’s best to stick with the less processed foods, and instead choose whole, fresh food. The fewer ingredients, the better!” says Kelly. So for example, the following would be excellent choices for each of the macro categories, according to Hundt.
In software testing, test automation is the use of special software (separate from the software being tested) to control the execution of tests and the comparison of actual outcomes to predicted outcomes. Test automation can automate some repetitive but necessary tasks in a formalized testing process already in place, or add additional testing that would be difficult to perform manually.

McKinsey & Company estimates that about half of all business processes — including yours — can be automated. Automation could save your business a lot of money, but you may be wondering what processes to start with and what is even possible. First and foremost, review the strategic and operating drivers for improvement. Then look for the processes. Rote and repetitive tasks are one obvious place to start.
Here’s the real news of the 2018 midterm elections. One week out, Democrats appear poised to win big on two of the three big playing fields. They were never going to retake the Senate, if only because of the mix of seats up for election this year—10 of those held by Democrats are in states Donald Trump carried in 2016. But in the House of Representatives and in state houses around the country, Democrats are on the verge of scoring huge victories. Given the underlying economic reality, that’s entirely unexpected.

In automated testing the test engineer or software quality assurance person must have software coding ability, since the test cases are written in the form of source code which, when run, produce output according to the assertions that are a part of it. Some test automation tools allow for test authoring to be done by keywords instead of coding, which do not require programming.


TestComplete by SmartBear is a powerful commercial testing tool for web, mobile, and desktop testing. TestComplete supports various scripting languages such as JavaScript, VBScript, Python, and C++Script. Like Katalon Studio, testers can perform keyword-driven and data-driven testing with TestComplete. The tool also offers an easy-to-use record and playback feature.
RPA is a relatively easy entry-level strategy into digital automation of back-office processes. One consultant described RPA tools for structured digital processes as a “gateway drug” for other cognitive technologies.  RPA is easy to configure and implement, and small implementations may not even require an expert consultant or much help from a vendor. RPA is particularly well suited to working across multiple back-end systems and doesn’t require re-architecting of those systems.   It typically brings a quick and high return on investment.

Clearly this is a realm in which knowledge workers need strong skills in computer science, artificial intelligence, and analytics. In his book Data-ism, Steve Lohr offers stories of some of the people doing this work. For example, at the E. & J. Gallo Winery, an executive named Nick Dokoozlian teams up with Hendrik Hamann, a member of IBM’s research staff, to find a way to harness the data required for “precision agriculture” at scale. In other words, they want to automate the painstaking craft of giving each grapevine exactly the care and feeding it needs to thrive. This isn’t amateur hour. Hamann is a physicist with a thorough knowledge of IBM’s prior application of networked sensors. Dokoozlian earned his doctorate in plant physiology at what Lohr informs us is the MIT of wine science—the University of California at Davis—and then taught there for 15 years. We’re tempted to say that this team knows wine the way some French people know paper.
Red Hat® works with the greater open source community, on automation technologies. Our engineers help improve features, reliability, and security to make sure your business and IT performs and remains stable and secure. As with all open source projects, Red Hat contributes code and improvements back to the upstream codebase—sharing advancements along the way.
API testing is also being widely used by software testers due to the difficulty of creating and maintaining GUI-based automation testing. It involves directly testing APIs as part of integration testing, to determine if they meet expectations for functionality, reliability, performance, and security.[10] Since APIs lack a GUI, API testing is performed at the message layer.[11] API testing is considered critical when an API serves as the primary interface to application logic since GUI tests can be difficult to maintain with the short release cycles and frequent changes commonly used with agile software development and DevOps.[12][13]
Using the Insteon Home Automation App requires the Insteon Hub. However, the app makes adding customizable control to your lighting appliances throughout your home. On the app you can remotely control your entire Insteon network, receive cloud-based emails and text alerts, run timers, set scenes, and do this all from your mobile device or apple watch. Insteon also integrates with Alexa, Google Assistant and Cortana.

I think we can all agree that automation is a critical part of any organization's software delivery pipeline, especially if you call yourself "agile." It's pretty intuitive that if you automate testing, your release cycles are going to get shorter. "So, if that's the case," you might say, "why don't we just automate everything?" There's a good reason: automation comes with a price.


Software testing tools themselves do not perform actual testing. Humans test with attentive minds, as well as the ability to discern differences and interesting details based on the information they receive. Testing tools can be programmed to run a series of operations and check for expected results. In a skilled person's hand, these tools can extend the reach of the tester. In this feature we talk about three major categories of test tools: automation, bug tracking and coverage.
Sid Bala, President and CEO of alligatortek, notes, “For us, a process that used to take up to a week has now been reduced to minutes, meaning that fresh produce gets into the hands of those who need it faster than ever before. In just one year, a national nonprofit connected 128 million pounds of fresh produce to Americans facing hunger — an increase of 9 percent over last year’s produce donation. alligatortek developed the Produce Donor Portal, a cloud-based site that gives a national nonprofit more automation and quicker workflow.”

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.
The legendary thoroughbred trainer D. Wayne Lukas can’t articulate exactly how he manages to see the potential in a yearling. He just does. Apple’s revered designer Jonathan Ive can’t download his taste to a computer. Ricky Gervais makes people laugh at material a machine would never dream up. Do they all use computers in their daily work lives? Unquestionably. But their genius has been to discover the ineffable strengths they possess and to spend as much time as possible putting them to work. Machines can perform numerous ancillary tasks that would otherwise encroach on the ability of these professionals to do what they do best.

I believe the more common (though still not necessarily correct) expression is that Quality Assurance concerns building the right thing whereas Testing is confirming it was built right. Also, I hope the coming articles distinguish functional from structural test automation and distinguish both of them from the types of tools that developers use for test-first development.


In contrast to other, traditional IT solutions, RPA allows organizations to automate at a fraction of the cost and time previously encountered. RPA is also non-intrusive in nature and leverages the existing infrastructure without causing disruption to underlying systems, which would be difficult and costly to replace. With RPA, cost efficiency and compliance are no longer an operating cost but a byproduct of the automation.
Testing as a craft is a highly complex endeavour, an interactive cognitive process. Humans are able to evaluate hundreds of problem patterns, some of which can only be specified in purely subjective terms. Many others are complex, ambiguous, and volatile. Therefore, we can only automate very narrow spectra of testing, such as searching for technical bugs (i.e. crashes).
The comprehensive portfolio of test automation tools helps ensure your whole application, including its user interface and API, are functioning correctly. You can also scale your automated tests to thousands of concurrent users for performance testing. And finally, you can plan, organize, and manage all testing activities in one place using our test case management tool.
Fitocracy is a super-simple macro and calorie counter. The app not only allows you to track your caloric intake but also protein, fat and carbohydrate consumption. This will help you reach your fitness goals, whether that’s losing weight, or building lean muscle.  Fitocracy Macros tracks your eating history and provides you with weekly averages for macronutrient and total calorie consumption. You can also receive free exercise routines that you can perform in conjunction with your diet plan.
Think about the cell phone and computer you use every day to do your job. Think about the car you drive to take to work. Think about the food you eat; water you drink; clothes you wear; and appliances you use to store, prepare, and clean them. Think about the television you watch, video games you play, or music system you listen to. Think about the buildings you visit. Think about any modern convenience or necessity. Just about anything you can think of is the result of complex processes. Without talented individuals to design, build, improve, and maintain these processes, these technological advances would never have occurred and future innovations would be impossible. Without automation professionals, our world and our future would be very different.

Energy management means getting the most out of your home for the lowest possible cost. Your smart home can learn your habits to optimize when you use certain appliances and when you turn on heating and air conditioning. Location-based triggers make efficiency as simple as syncing your phone or tablet with your home automation system. Shut off devices when you leave and have the AC ready when you return, without lifting a finger.
Additionally, these tools help to eliminate repetitive operations -- replacing the human element -- and do what might not be possible otherwise, such as complementing or cataloging, searching, and combining information in ways that are common for test and software development organizations. Application testing helps organizations find issues in their product before the customers do. The number of combinations one has to test for -- even the most trivial of programs -- can be staggering. A pair of nested for loops, for example, can have unique test cases that number in the millions.
This app hard-sells a Pro account at the expense of user experience and flow. It seems like if you want to add more than a few meals or more a few ingredients within a meal, it wants you to subscribe. Pro promises more foods per day, and premium content. My impression was that KetoDiet wanted to charge for the functionality that its competitors do for free.
LoseIt, as the name suggests, puts emphasis on losing weight. Based on your current and target weight, height, gender and desired pace of weight loss, it assigns you a daily budget for your food intake. You can scan barcodes to log meals and calculate how many calories you have burnt from a session in the gym.  The app displays green and red bars to indicate which days you hit your goals or overindulged, allowing to track your weight loss journey. LoseIt has a community forum where you can share your favorite meals and enter challenges to keep you motivated.
Instead of creating the "tests" at the end, I suggest starting with examples at the beginning that can be run by a human or a software system. Get the programmer, tester, and product owner in a room to talk about what they need to be successful, to create examples, to define what the automation strategy will be, and to create a shared understanding to reduce failure demand. My preference is to do this at the story level — what some might call a minimum marketable feature — which requires a half-day to a week of work. George Dinwiddie, an agile coach in Maryland, popularized the term "the three amigos" for this style of work, referring to the programmer, tester, and analyst in these roles. Another term for the concept is acceptance test-driven development.
States refer to the various conditions that can occur in a use or sequence scenario of the system. An example is an elevator, which uses logic based on the system state to perform certain actions in response to its state and operator input. For example, if the operator presses the floor n button, the system will respond depending on whether the elevator is stopped or moving, going up or down, or if the door is open or closed, and other conditions.[9]
The example is trivial; of course you'll create a login function that you can reuse. But when we get to the nitty-gritty of the application — creating new data, editing rows and profiles, searching, and so on — it is tempting to just get the code to work. As you add new features, you copy/paste to make a new automated example. Over a period of years, you end up with a lot of copied/pasted code.
Discrete manufacturing plants adopted these technologies fast. The more conservative process industries with their longer plant life cycles have been slower to adopt and analogue-based measurement and control still dominates. The growing use of Industrial Ethernet on the factory floor is pushing these trends still further, enabling manufacturing plants to be integrated more tightly within the enterprise, via the internet if necessary. Global competition has also increased demand for Reconfigurable Manufacturing Systems.
The two main methods will be through blogging and training. All our blogs about AiT will be posted over on the new AiT site, https://automationintesting.com. I’ve migrated my three free programming courses to that domain and redirected the existing links. Mark has also added a new one, Javascript/Node.js Basics. We’ll also be presenting lots of AiT material at conferences around the world as well as through various online channels. We are also discussing setting up an annual peer conference solely focused on automation.
Your best strategy may be to head for still higher intellectual ground. There will always be jobs for people who are capable of more big-picture thinking and a higher level of abstraction than computers are. In essence this is the same advice that has always been offered and taken as automation has encroached on human work: Let the machine do the things that are beneath you, and take the opportunity to engage with higher-order concerns.
Using our definition, the automation profession includes “everyone involved in the creation and application of technology to monitor and control the production and delivery of products and services”; and the automation professional is “any individual involved in the creation and application of technology to monitor and control the production and delivery of products and services.”
“RPA is another step in the evolution of business processes. It is the next logical step to significantly reduce the requirement for employees to perform rules-based, high-volume activities. Instead, RPA enables employees to focus on more strategic tasks that help the business — and the beauty of it all is that many organizations are just beginning to explore the use of RPA in different scenarios and situations.”
Think about the cell phone and computer you use every day to do your job. Think about the car you drive to take to work. Think about the food you eat; water you drink; clothes you wear; and appliances you use to store, prepare, and clean them. Think about the television you watch, video games you play, or music system you listen to. Think about the buildings you visit. Think about any modern convenience or necessity. Just about anything you can think of is the result of complex processes. Without talented individuals to design, build, improve, and maintain these processes, these technological advances would never have occurred and future innovations would be impossible. Without automation professionals, our world and our future would be very different.
Test automation on the other hand is the automated execution of predefined tests. A test in that context is a sequence of predefined actions interspersed with evaluations, that James Bach calls checks. These checks are manually defined algorithmic decision rules that are evaluated on specific and predefined observation points of a software product. And herein lies the problem. If, for instance, you define an automated test of a website, you might define a check that ascertains a specific text (e.g. the headline) is shown on that website. When executing that test, this is exactly what is checked—and only this. So if your website looks like shown in the picture, your test still passes, making you think everything is ok.
In most fields, workers rarely have any formal input into whether their job is automated, or how and when automation could be implemented. Self-automators offer a glimpse of what it looks like when automation is orchestrated not by top-down corporate fiat, but by the same workers who stand to reap its benefits. Some embrace the extra leisure time, while others use the spare hours to learn new skills and tackle new programmatic challenges.
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Today’s software testing tool market offers testers more options—and more confusion—than ever before. Both the open source community and commercial vendors are introducing new software testing tools at an unprecedented rate. On top of that, the past couple years have brought tremendous turmoil in the software testing tools marketplace (think HPE-Micro Focus spin merge, the IBM Rational- HCL deal …). Given all the new choices and changes, it’s not surprising that there are now 100+ software testing tools lists making the rounds on blogs and software testing community sites.


Integration: At this phase, perform API integration. This enables the new programs to access and communicate with other existing programs. You should also perform data integration during this step, combining data from disparate sources. Lastly, implement the enterprise service bus (ESB) in a service-oriented architecture (SOA). An ESB allows communication between software applications.
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