[Chicago] What Statisticians can learn from Software Engineers talk 27 Oct Noon

[Tanya Schlusser]

Here are links to Paul Teetor's talk. It's at noon downtown Oct 27 at the
East Bank Club -- limited spots so sign up quick; it costs $35 I think.

 Main ASA Event page
<https://s08.123signup.com/servlet/SignUpMember?PG=1531573182300&P=15315731911428411200&Info>
Link to their meetup group
<http://www.meetup.com/Chicago-Chapter-American-Statistical-Association/events/207638482/?a=me1_grp&rv=me1&_af_eid=207638482&_af=event>

(note that Chicago ASA membership
<http://community.amstat.org/chicagochapter/directory1> is totally cheap at
$15/yr and worth it)

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Title: "What Can Statisticians Learn From Software Engineers?"

Abstract

Do any of the following problems sound familiar to you? Your organization
is swimming in SAS code or R code. You've saved numerous versions because
you can't afford to lose anything. People are unsure what's the best
version. Testing your code is difficult, so you often put changes into
production and hope for the best. You've cut-and-pasted your code so many
times that you're seeing the same parts over and over. You vaguely sense
that there must be a better way.

Software engineers have spent decades dealing with these problems, and the
result is a body of best practices and useful tools for managing software.

This talk will review some techniques of software engineering and how they
apply to managing a body of statistical software. Topics will range from
code-level practices to design issues and project control.
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