“There are millions of regression tests for a Windows 10 release. For example, if you plan 10 new features, five [of those 10] are critical and a priority. These test cases will be the criteria used to release the software. You build from that progress. So on the next release, you have new features, 10 are determined critical for testing. So it keeps adding, now you have 15 regression tests being automated to keep up with the release schedules.”
Chandra Kandukuri is a Technical Test Lead at Microsoft with more than 16 years of software development experience in multiple environments, developing automation frameworks and tools. He advocates the use of TDD and dedicating the time and resources to do it well. Although it is relatively uncommon to see teams utilize TDD in his experience, Kandukuri recommends the method with automated software testing because of the positive teamwork habits it can promote.

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.


Test automation mostly using unit testing is a key feature of extreme programming and agile software development, where it is known as test-driven development (TDD) or test-first development. Unit tests can be written to define the functionality before the code is written. However, these unit tests evolve and are extended as coding progresses, issues are discovered and the code is subjected to refactoring.[5] Only when all the tests for all the demanded features pass is the code considered complete. Proponents argue that it produces software that is both more reliable and less costly than code that is tested by manual exploration.[citation needed] It is considered more reliable because the code coverage is better, and because it is run constantly during development rather than once at the end of a waterfall development cycle. The developer discovers defects immediately upon making a change, when it is least expensive to fix. Finally, code refactoring is safer when unit testing is used; transforming the code into a simpler form with less code duplication, but equivalent behavior, is much less likely to introduce new defects when the refactored code is covered by unit tests.
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.
Another problem that pops up in RPA is the failure to plan for certain roadblocks, Srivastava says. An employee at a Genpact client changed the company’s password policy but no one programmed the bots to adjust, resulting in lost data. CIOs must constantly check for chokepoints where their RPA solution can bog down, or at least, install a monitoring and alert system to watch for hiccups impacting performance. "You can't just set them free and let them run around; you need command and control," Srivastava says.
Back in the production era of business, process automation meant robotics. But in today’s relationship and internet era, process automation has evolved from an emerging technology into the work of determining how best to serve your customers. In its current state as both a programming powerhouse and a model of work efficiency, business process automation (BPA) allows today’s professionals to spend their time developing key relationships and differentiating themselves in the marketplace.

Summary: Previously known as QuickTest Professional (QTP), HP UFT automates GUI functionality and back-end service testing. It also offers reusable test components, helps convert manual testing assets into automated ones, embraces the shift left to make testing part of the Agile development cycle, and allows for testing across multiple machines and devices.
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Congratulations: now that the majority of your code and business logic has been tested, most testing at the UI level has been eliminated. Your focus now at the UI level is simply to ensure that the UI itself is working correctly. UI tests are very brittle, so keep these tests to a minimum. These automation tests will need maintenance any time the UI changes, and because there are so many factors that come into play when you run a test that emulates clicks on a screen (such as network speed), such tests can result in false test failures. You can't ignore those test failures, but you don't want to end up spending more time troubleshooting and maintaining UI tests than you spend finding actual code defects.

An example of a good use of BPA is in customer success activities. Automation ensures that your team members can spend their time on the high-touch work needed to retain your customers (such as onboarding) instead of data entry. Data entry is rife for errors and mishaps, and it relies on the team to communicate the customer information to each other.
Niven Narain, a cancer researcher, provides a great example. In 2005 he cofounded Berg, a start-up in Framingham, Massachusetts, to apply artificial intelligence to the discovery of new drugs. Berg’s facility has high-throughput mass spectrometers that run around the clock and produce trillions of data points from their analysis of blood and tissue, along with powerful computers that look for patterns suggesting that certain molecules could be effective. “The last thing you want to do now,” Narain told a reporter in March 2015, “is have a hundred biochemists…going through this data and saying, ‘Oh, I kind of like this one over here.’” But he also employs a hundred biochemists. Their objective is not to crunch all those numbers and produce a hypothesis about a certain molecule’s potential. Rather, they pick up at the point where the math leaves off, the machine has produced a hypothesis, and the investigation of its viability begins.
Automation is a real issue and challenge for labor conditions from industrial to white collar jobs. There are many benefits to find in it but it also might lead to a standardization of processes. I wrote on this subject if you want more information about how automation is changing the way we get productive. http://www.beesapps.com/market-usage/business-process-automation-benefits-for-productivity/
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