Abstract Details
|
Activity Number:
|
361
|
|
Type:
|
Roundtables
|
|
Date/Time:
|
Tuesday, August 5, 2014 : 12:30 PM to 1:50 PM
|
|
Sponsor:
|
Section for Statistical Programmers and Analysts
|
|
Abstract #311190
|
|
|
Title:
|
What Can Statisticians Learn from Software Engineers?
|
|
Author(s):
|
John Castelloe*+
|
|
Companies:
|
SAS Institute
|
|
Keywords:
|
software ;
programming ;
engineering ;
management
|
|
Abstract:
|
Increasingly, our clients are writing and running large bodies of software to perform their statistical work. They are struggling with the issues that accompany software construction and ownership: coding standards, version management, release procedures, automated testing, code reuse, shared development environments, library development, and application design. Software engineers have been dealing with these problems for decades. What can we learn from their experiences? What tools and practices can we borrow? Are we doomed to repeat the hard-won lessons of software management? Let's talk about good software management for statistical programming.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.