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Andrew Robert Huber
Dell Technologies
Research Triangle Park, North Carolina
 

Andy Huber has worked as a software developer and manager in industry for over 30 years. He first programmed a computer while attending a National Science Foundation summer program at Illinois Institute of Technology on Fortran programming as a high school junior. He currently designs and develops software for network security systems, including hardware that does IP security (IPSec) processing as packets flow through the device. For many years, he developed operating systems for hardware ranging from mini-computers to symmetric multi-processors. He has contributed to several software standards, including the Posix standards. His technical interests include operating systems, networks, security, software engineering, and improving software development.

Andy has bachelor’s, master’s, and engineering degrees from the Massachusetts Institute of Technology, where he worked on the Multics operating system. He is a member of the ACM and the IEEE Computer Society, and is an IEEE Certified Software Development Professional. He has served as a reviewer for Computing Reviews for over 20 years.

When not working, Andy enjoys many outdoor activities, including running, biking, swimming, and the sport of orienteering (running through the woods to find a set of control flags using a compass and topographic map). He also enjoys bird watching and music, and serves as a volunteer classical music announcer on WCPE, a 24-hour-a-day listener-supported radio station that is also broadcast on the Internet.

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Read our Q&A with Andy Huber here.


     

Competitive programming in Python: 128 algorithms to develop your coding skills
Dürr C., Vie J.,  Cambridge University Press, Cambridge, UK, 2021. 264 pp. Type: Book (978-1-108716-82-6)

Programming contests typically ask teams of programmers to develop solutions to several posed problems in a limited amount of time. Knowledge of algorithms and the techniques for implementing those algorithms efficiently are critical for success, ...

 

 Crypto dictionary: 500 tasty tidbits for the curious cryptographer
Aumasson J.,  No Starch Press, San Francisco, CA, 2021. 160 pp. Type: Book (978-1-718501-40-9)

Why do we need a dictionary when we have the Internet?...

 

 Code that fits in your head : heuristics for software engineering
Seeman M.,  Pearson, Hoboken, NJ, 2021. 406 pp. Type: Book (978-1-374644-01-4)

The human brain can only hold and manipulate a small number of items in short-term memory. The number typically cited is seven things, plus or minus two. So to understand code and keep it all in your head, seven should be the limit of things that ...

 

Code Mining
Holzmann G.  IEEE Software 36(2): 25-29, 2019. Type: Article

Can machine learning techniques be applied to software analysis to find bugs? That is, show a machine learning system examples of good and bad programs for training and then ask it to classify new code. The article begins with this question. Thoug...

 

Managing technical debt: reducing friction in software development
Kruchten P., Nord R., Ozkaya I.,  Addison-Wesley Professional, Boston, MA, 2019. 272 pp. Type: Book (978-0-135645-93-2)

Although technical debt has existed in software systems ever since there was software, the term “technical debt” and the metaphor comparing it to financial debt are more recent. This book is intended for practitioners. Its purpose is t...

 
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