This might be one of the more interesting job categories that will thrive with automation. While less and less time will be focused on the mundane tasks, people will have more time to focus on growing themselves as a person. In fact, I believe the key to automation being a growth engine rather than a means to replace jobs, we are going to need a path for people to grow and adapt to human/machine partnerships.  This is where the coach can really shine. A coach, just like on a soccer field, is a person who assists people see their potential in a certain area and capitalize on it. This category isn’t directly related to automation, but like continuing education, it is one that has a lot of potential because as automation becomes more pervasive, people will need help to adapt into our changing world.
At present things may look simple and clean as both side setups are being done and all is fine. We have seen on numerous occasions that when a project enters the maintenance phase the project is moved to another team, and they end up debugging such scripts where the actual test is very simple but the script fails due to a 3rd party software problem.
Many people have tried to make this point in different ways (e.g. this is also the quintessence of the discussion about testing vs. checking, started by James Bach and Michael Bolton). But the emotionally loaded discussions (because it is about peoples self-image and their jobs) often split discussants into two broad camps: those that think test automation is “snake oil” and should be used sparsely and with caution, and those that think it is a silver bullet and the solution to all of our quality problems. Test automation is an indispensable tool of today’s quality assurance but as every tool it can also be misused.

Automation technology has matured to a point where a number of other technologies have developed from it and have achieved a recognition and status of their own. Robotics is one of these technologies; it is a specialized branch of automation in which the automated machine possesses certain anthropomorphic, or humanlike, characteristics. The most typical humanlike characteristic of a modern industrial robot is its powered mechanical arm. The robot’s arm can be programmed to move through a sequence of motions to perform useful tasks, such as loading and unloading parts at a production machine or making a sequence of spot-welds on the sheet-metal parts of an automobile body during assembly. As these examples suggest, industrial robots are typically used to replace human workers in factory operations.
When digital computers became available, being general-purpose programmable devices, they were soon applied to control sequential and combinatorial logic in industrial processes. However these early computers required specialist programmers and stringent operating environmental control for temperature, cleanliness, and power quality. To meet these challenges this the PLC was developed with several key attributes. It would tolerate the shop-floor environment, it would support discrete (bit-form) input and output in an easily extensible manner, it would not require years of training to use, and it would permit its operation to be monitored. Since many industrial processes have timescales easily addressed by millisecond response times, modern (fast, small, reliable) electronics greatly facilitate building reliable controllers, and performance could be traded off for reliability.[89]
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.

Control of an automated teller machine (ATM) is an example of an interactive process in which a computer will perform a logic derived response to a user selection based on information retrieved from a networked database. The ATM process has similarities with other online transaction processes. The different logical responses are called scenarios. Such processes are typically designed with the aid of use cases and flowcharts, which guide the writing of the software code.The earliest feedback control mechanism was the water clock invented by Greek engineer Ctesibius (285–222 BC)
After the senseless calamity of a mass shooting, people seek comforts—even small ones—in the face of horror. One of those small comforts has come to be Fred Rogers’s famous advice to look for the helpers. “When I was a boy and I would see scary things in the news,” Rogers said to his television neighbors, “my mother would say to me, ‘Look for the helpers. You will always find people who are helping.’”

This book describes how to build and implement an automated testing regime for software development. It presents a detailed account of the principles of automated testing, practical techniques for designing a good automated testing regime, and advice on choosing and applying off-the-shelf testing tools to specific needs. This sound and practical introduction to automated testing comes from two authors well known for their seminars, consultancy and training in the field.
With automated testing, that time is cut drastically. The work for automated testers is instead spent coding the tests and making improvements to these tests repeatedly as adjustments are needed. Once the test is complete, however, automated testing allows for the recycled use of tests so that they do not have to go through this whole process again. In essence, the time spent on the mundane tasks and repetition a manual tester would go through is instead spent focusing on larger, more important issues involving the software you’re developing.
Interview Wardrobe Mistakes That Are Costing You the Job - Job seekers spend so much time crafting the perfect resume they often overlook other elements that are essential to a successful interview – like their wardrobe. While some jobs don’t require such formal attire as a suit and tie, there’s still a fine line between what’s acceptable and what should be avoided at all costs.... Read more »
To cut through all of it and figure out what's most relevant to you, imagine a typical day at home. Are there any devices you regularly turn on and off? Do you regularly adjust your home environment depending on what you're doing? Those regular habits and activities are typically the best candidates for automation. Figure out which ones are most important to you, and you'll have a much better idea of what to look for as you start shopping around.
Test automation tools can be expensive, and are usually employed in combination with manual testing. Test automation can be made cost-effective in the long term, especially when used repeatedly in regression testing. A good candidate for test automation is a test case for common flow of an application, as it is required to be executed (regression testing) every time an enhancement is made in the application. Test automation reduces the effort associated with manual testing. Manual effort is needed to develop and maintain automated checks, as well as reviewing test results.
RPA provides organizations with the ability to reduce staffing costs and human error. David Schatsky, a managing director at Deloitte LP, points to a bank’s experience with implementing RPA, in which the bank redesigned its claims process by deploying 85 bots to run 13 processes, handling 1.5 million requests per year. The bank added capacity equivalent to more than 200 full-time employees at approximately 30 percent of the cost of recruiting more staff, Schatsky says.
TL;DR: Testing is a sophisticated task that requires a broad set of skills and with the means currently available cannot be automated. What can (and should) be automated is regression testing. This is what we usually refer to when we say test automation. Regression testing is not testing, but merely rechecking existing functionality. So regression testing is more like version control of the dynamic properties of the software.
Additionally, many RPA implementations fail because they are not well thought through or executed in concert with the company’s strategic direction. Further, soundly implementing bots is critical, and changes during the process, even those required by compliance needs, can throw them off. They do not always have the necessary flexibility configured when platforms change. This has caused some companies to either refuse to install bots or to put their installation on hold, according to a McKinsey & Company report. A Deloitte UK study indicated that only 3 percent of progressive leaders have been able to reach an RPA scale of 50 or more bots.

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In an era of innovation, the emphasis has to be on the upside of people. They will always be the source of next-generation ideas and the element of operations that is hardest for competitors to replicate. (If you think employees today lack loyalty, you haven’t noticed how fast software takes up with your rivals.) Yes, people are variable and unpredictable; capable of selfishness, boredom, and dishonesty; hard to teach and quick to tire—all things that robots are not. But with the proper augmentation, you can get the most out of the positive qualities on which they also hold a monopoly. As computerization turns everything that can be programmed into table stakes, those are the only qualities that will set you apart.

I am a big believer in tracking fitness progress. Doing so not only keeps you motivated, but it can also help you make sense of what is working and what is not. People are constantly on diets, trying to lose weight or gain muscle. But how do you keep track of your progress? Assuming you made progress because of the time you spent in the gym or simply listening to your body may not be the best method.
Industrial robotics is a sub-branch in the industrial automation that aids in various manufacturing processes. Such manufacturing processes include; machining, welding, painting, assembling and material handling to name a few.[85] Industrial robots utilizes various mechanical, electrical as well as software systems to allow for high precision, accuracy and speed that far exceeds any human performance. The birth of industrial robot came shortly after World War II as United States saw the need for a quicker way to produce industrial and consumer goods.[86] Servos, digital logic and solid state electronics allowed engineers to build better and faster systems and overtime these systems were improved and revised to the point where a single robot is capable of running 24 hours a day with little or no maintenance. In 1997, there were 700,000 industrial robots in use, the number has risen to 1.8M in 2017[87]
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.
More CIOs are turning to an emerging technology practice called robotic process automation (RPA) to streamline enterprise operations and reduce costs. With RPA, businesses can automate mundane rules-based business processes, enabling business users to devote more time to serving customers or other higher-value work. Others see RPA as a stopgap en route to intelligent automation (IA) via machine learning (ML) and artificial intelligence (AI) tools, which can be trained to make judgments about future outputs.
Summary: Uses pre-built workflows and services on demand for continuous testing and Agile development. IBM InfoSphere Optim makes it easy to create production-like environments, allows for functional, regression integration and load testing via integrations with the Rational Test Workbench and allows for data masking and enterprise test data management policy development and enforcement.
About a year later, someone calling himself or herself Etherable posted a query to Workplace on Stack Exchange, one of the web’s most important forums for programmers: “Is it unethical for me to not tell my employer I’ve automated my job?” The conflicted coder described accepting a programming gig that had turned out to be “glorified data entry”—and, six months ago, writing scripts that put the entire job on autopilot. After that, “what used to take the last guy like a month, now takes maybe 10 minutes.” The job was full-time, with benefits, and allowed Etherable to work from home. The program produced near-perfect results; for all management knew, its employee simply did flawless work.

Cohn refers to the middle layer of the pyramid as the service layer, but it's also known as the layer for automated API tests, automated component tests, or acceptance tests. You use this automation layer to test the business logic without involving the user interface (UI). By testing outside the UI, you can test the inputs and outputs of the APIs or services without all the complications the UI introduces.


This page is NOT designed to tell you what software testing tool is “best” (disclaimer: we’re a software testing tool vendor, so we are obviously biased).  Rather, we aimed to compile the ultimate list of software testing tools lists—so you can rapidly research the available options and make your own decision on what software testing tools you want to evaluate.
It is hard to read the White House report without thinking about the presidential election that happened six weeks before it was published. The election was decided by a few Midwest states in the heart of what has long been called the Rust Belt. And the key issue for many voters there was the economy—or, more precisely, the shortage of relatively well-­paying jobs. In the rhetoric of the campaign, much of the blame for lost jobs went to globalization and the movement of manufacturing facilities overseas. “Make America great again” was, in some ways, a lament for the days when steel and other products were made domestically by a thriving middle class.
This approach involves finding a specialty within your profession that wouldn’t be economical to automate. In Boston, near the headquarters of Dunkin’ Donuts, a reporter recently peered into “the secret world of the Dunkin’ Donuts franchise kings.” One of them, Gary Joyal, makes a good living (if his Rolls-Royce is any indication) by connecting buyers and sellers of Dunkin’ Donuts franchises. As the Boston Globe put it, Joyal “uses his encyclopedic knowledge of franchisees—and often their family situations, income portfolios, and estate plans—to make himself an indispensable player for buyers and sellers alike.” So far he has helped to broker half a billion dollars’ worth of deals.
Nearly every program that runs in a browser now has a mobile counterpart. Because of this, mobile test tooling is quickly becoming as important, if not more so, than testing in a web browser. Sometimes this automation takes control of the mobile device by launching an app or mobile browser and performing some actions. Other times this testing happens just below the surface by working at the API level.
Eventually, someone has to write the code. Even if the record/playback tool claims to be codeless, sooner or later your software will produce dates that need to be compared to today's date and formatted, and you'll need to drop down into some kind of code editor. The person writing the code is probably not a professional programmer, but even were that so, it is tempting to focus more on getting the code done than on doing it well.
Forrester (one of the world’s most influential research and advisory firms) selected the top 11 tools that provide cross-browser testing, mobile testing, UI testing, and API testing capabilities. After evaluating these software testing tools based on vendor interviews, product evaluations, and customer interviews, they scored the tools on 33 criteria and ranked them against one another. Tools covered include IBM, Tricentis, Parasoft, HPE, SmartBear, TestPlant, Micro Focus, Microsoft, LogiGear, Original Software Conformiq. [Read this software testing tools list]

It is uncertain how long it will take for driverless trucks and cars to take over the roads. For now, any so-called autonomous vehicle will require a driver, albeit one who is often passive. But the potential loss of millions of jobs is Exhibit A in a report issued by the outgoing U.S. administration in late December. Written by President Obama’s top economic and science advisors, “Artificial Intelligence, Automation, and the Economy” is a clear-eyed look at how fast-developing AI and automation technologies are affecting jobs, and it offers a litany of suggestions for how to deal with the upheaval.


Test reporting tools centralize and standardize the reporting around testing activity from independent tools, bridging the Agile/Waterfall, cross-platform and manual vs. automated testing metrics divides. With the right test reporting tools teams can ditch spreadsheet and start gaining real-time insight into the progress, health and quality of software testing. Checkout the top test reporting tools to consider below:
Jim Hazen is an Automation Consultant and “veteran of the software testing trenches” who helps companies with test automation and performance test implementations. He has presented at multiple professional conferences, including STARWest and STPCon, and published articles in ST&QA Magazine on test automation and communication techniques for testers. You can learn more about Jim on LinkedIn.
Brady Keller, Digital Marketing Strategist at Atlantic.Net, says, “My favorite type of automation is marketing automation, which was created to help businesses scale relevant, worthwhile digital engagement for a large population of potential customers. No one has the bandwidth to send highly targeted emails to thousands of people at a time. Use the tools you’ve invested in to help you configure that process in the most efficient way possible. Based on the platform you select, you will have a variety of customizable tools and workflows that will work around your specific instructions. You can implement strategies, like autoresponders, transactional emails, algorithmic personalization, and much more.
A search for the complementarities to which Autor was referring is at the heart of what we call an augmentation strategy. It stands in stark contrast to the automation strategies that efficiency-minded enterprises have pursued in the past. Automation starts with a baseline of what people do in a given job and subtracts from that. It deploys computers to chip away at the tasks humans perform as soon as those tasks can be codified. Aiming for increased automation promises cost savings but limits us to thinking within the parameters of work that is being accomplished today.
Vendors and user firms are also combining RPA with AI tools like machine learning, natural language processing (NLP) and image recognition. Organizations that take a phased approach to their RPA efforts set themselves up for success as RPA continues to get smarter. One financial services organization accomplished this by categorizing its RPA projects into three categories:
Robotic process automation (RPA)—typically used to automate structured, back office digital process tasks—turns out to be the opening gambit in many organizations’ digital transformation strategies. It also appears to be a precursor to artificial intelligence (AI).  In a recent research project on priorities in process and performance management,  APQC, a business research institute, found that RPA was a nucleus of 69 percent of digital strategies. In another survey on investments in process automation, anticipated RPA projects were right behind analytics and data management, and almost twice as likely as near-term investments in AI or intelligent automation.  (See Figure 1) Only 12 percent of those APQC surveyed had no plans to invest in any of these technologies in 2018.
Summary: A complete API testing platform with support for API functional testing, API load testing, API security testing, service virtualization, API testing in code, API performance management and defining, building, and managing APIS. SmartBear Ready! API provides project management, metrics and reporting, script support, discovery, and continuous integration across all of these API testing capabilities.

“The best way to optimize marketing automation is to connect it with a customer relationship management (CRM) platform. If your business brings in revenue by combining marketing and sales campaigns, then your system should be integrated. Connecting your marketing automation platform with your CRM will help marketers on your team connect crucial campaign strategies with the financial outcomes. This will provide your salespeople with better visibility into prospecting and leads. It also allows your marketing team to hand leads over to sales without manually exporting anything.”


“Another common mistake is trying to get testers to do both jobs, so when management gives the go ahead for automation testing, any QA related job these days requires some level of automation and testers might get excited about the potential for test automation. But these are both full-time jobs, so often times [these] teams struggle with deciding what to spend limited time on.”

“Not paying attention to nutrition while going after your fitness goals is like trying to start a fire with unseasoned, wet firewood,” says DailyBurn trainer Ben Booker. Whether you’re trying to lose weight or build lean muscle, the first step is taking a hard look at how you’re fueling your furnace. “Start learning what is entering your body,” says Booker, who recommends keeping track of macros instead of obsessing over calories.
“As a solution, we automated this outreach through our RepuGen software, getting customer feedback and turning the positive comments into reviews. The second way I automated to improve my business was when I created an online portal for my online transcription services company, GMR Transcription. This online portal eliminated the manual process of receiving and uploading audio files, and instead made it possible for the clients to do it themselves.”
A global retailer was using its store closing reports to validate closing information for each of its registers across hundreds of stores. The store’s employees used a manual and sluggish process to pull up these reports. By automating the process the store freed up its employees to now focus on more customer-centric activities. The RPA robots now move the closing reports to one server, then read and consolidate the needed information for the store’s closing reports.
3. Finally, your devices will need some way to receive your instructions. For some, this isn’t an issue: today’s home entertainment systems often have Wi-Fi connectivity built right in before the components leave the factory. But for others—like, say, lights—you’ll need either smart outlets or smart lightbulbs to integrate them into your home’s automation system.
Finally, stepping forward means constructing the next generation of computing and AI tools. It’s still true that behind every great machine is a person—in fact, many people. Someone decides that the Dunkin’ Franchise Optimizer is a bad investment, or that the application of AI to cancer drug discovery is a good one. Someone has to build the next great automated insurance-underwriting solution. Someone intuits the human need for a better system; someone identifies the part of it that can be codified; someone writes the code; and someone designs the conditions under which it will be applied.
Last October, Uber had one of its self-­driving trucks make a beer run, traveling 200 kilometers down the interstate to deliver a cargo of Budweiser from Fort Collins to Colorado Springs. A person rode in the truck but spent most of the trip in the sleeper berth, monitoring the automated system. (The test came just a few weeks after Uber had announced its driverless car service in Pittsburgh.) The self-driving truck developed by Uber’s recently acquired Otto unit reflects remarkable technological achievements. It also provides yet another indicator of a looming shift in the economy that could have deep political consequences.

A business process management system is quite different from BPA. However, it is possible to build automation on the back of a BPM implementation. The actual tools to achieve this vary, from writing custom application code to using specialist BPA tools. The advantages and disadvantages of this approach are inextricably linked – the BPM implementation provides an architecture for all processes in the business to be mapped, but this in itself delays the automation of individual processes and so benefits may be lost in the meantime.

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