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Showing posts with the label data science

Trends 2022

 Where has the last year gone?  It is time again to review yearly trends in software testing!  Decent read: intro to top 6 below; I know the suspense for the others will be overwhelming. Geeks2 top-10-software-testing trends 1. IoT Testing - everything is connected. See #6 2. Codeless Automation - is this finally the year for a major shift?  History says “no”. 3. Blockchain - follow the $$ 👍🏻 4. Big Data - is this finally the year for gold in big data?  Find smart data analytics people yet. 5. Performance Engineering - speed is king 6. Cybersecurity - true #1

Who applies for software test jobs?

Anyone who knows me, knows I have a passion for software testing. Software testing is a diverse field lacking standardization, and software test standardization is a specific area I enjoy.  So when I found this article sharing data on people and skills from applications for a specific software testing position, it was a must read. I highly recommend you spend at least five minutes reading this and thinking about software test standardization:  https://www.kenst.com/2021/03/hiring-a-software-tester-an-analysis/  by Chris Kenst Reviewed by KLOMAR 

2021 - the year of conversion.

 Data science, and understanding ubiquitous data streams, is clearly a hot technology topic.  The foundation of these exercises is having clean factored data (time, location, source, and all relevant attributes).  Often these data streams are in different formats and have different factors, or these rough streams require data mining to capture and catalog. How many of us have received emails and snail mail generated from dirty data sources?  I personally enjoy seeing these errors in my mail pieces and searching for clues in the defects presented. Do you have text and data conversion projects planned in 2021?  Do you have plans to verify and validate clean data?