In one of my previous postings, I wrote about some benefits test automation may bring to software development. Automating testing processes is among software development best practices that allow for shortening release cycles, achieving better efficiency, and lowering costs. So today, I’m going to say a couple of words about common challenges test automation faces.
- Test automation is a time- and resource-consuming process. Though it helps shorten software development lifecycle in a long term, on the initial stage it will take time and require the work of a team of engineers to write necessary test scripts, sound and bug free.
- If we speak about tools for test automation, their introduction into company’s testing processes will also require a certain period of time. The time is needed for the evaluation and selection of necessary tools, whether it is Selenium, JUnit, Cucumber, or HP Mercury Load Runner. Furthermore, the solutions are often marketed as simple tools that record and repeat certain actions, but real-life automation involves much more than that, which requires the knowledge of scripts.
- Test automation doesn’t mean that there will be no need for manual testers at all anymore. There are some areas where only manual testing can help. Software development best practices are to combine both automated and manual testing applying them in the areas where they are most effective.
So, the recommendation is to combine automated and manual testing to get better testing results. Thus, quality assurance best practices recommend automating repetitive tasks humans are not very good at, as they may get tired or distracted when there is a need for repeating the same thing multiple times.
However, when it comes to investigative work, no tool can replace a human, as people are much better at noticing something strange, being suspicious, getting a funny sense about something and looking into it further. That’s why software development best practices, in terms of testing, are in taking what people do well, taking what machines do well, mixing those things together, and making overall testing incredibly powerful.
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