diff options
author | Blaise Thompson <blaise@untzag.com> | 2018-04-13 22:39:33 -0500 |
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committer | Blaise Thompson <blaise@untzag.com> | 2018-04-13 22:39:33 -0500 |
commit | 92b0eaa59ac85b9fa7b4bbb61ce84949e96e286b (patch) | |
tree | a0288456c3d0dfedc6821c01d37a4abf1e4aa4ec /software | |
parent | c561cd27239ede72090bfd8f8cc785c52ae48673 (diff) |
2018-04-13 22:39
Diffstat (limited to 'software')
-rw-r--r-- | software/chapter.tex | 29 |
1 files changed, 9 insertions, 20 deletions
diff --git a/software/chapter.tex b/software/chapter.tex index e6707dd..06fcff9 100644 --- a/software/chapter.tex +++ b/software/chapter.tex @@ -1,14 +1,3 @@ -%A whole set of licenses have been written to use for this purpose. %
-%Briefly, strong copyleft licenses do not allow for software to be modified or enhancements without
-%sharing those enhancements under the same licenses. %
-%These ``viral'' licenses are meant to force companies and individuals who would otherwise not open
-%source to share their code. %
-%The strongest copyleft licenses do not even allow others to link against the licensed software
-%without themselves being copyleft. %
-%This strategy has been moderately successful, but is becoming less popular. % TODO: cite
-%Open source licenses are less opinionated, merely granting users the right to copy, modify,
-%distribute, and publish code without restriction except perhaps credit to the source. %
-
\chapter{Software} \label{cha:sof}
\begin{dquote}
@@ -117,24 +106,22 @@ Other funding agencies have similar projects. % Software development ``by-and-for'' scientists poses unique challenges. %
In this section, I attempt to summarize the literature about these challenges, with a focus on
-those challenges that I have found most relevant. %
+those that I have found most relevant. %
\textbf{``End-user developers.''} \cite{SegalJudith2005a, HannayJoErskine2009a, JoppaLucasN2013a}
% TODO: see Joppa ref 17, 21 22
Typically the developers of scientific software are not trained software developers. %
This is perfectly appropriate, because scientific software development typically requires a large
-amount of domain knowledge that only ``end-users'' possess. %
+amount of domain-specific knowledge that only ``end-users'' possess. %
Software development practices may not be valued in a scientific environment. %
End-users may lack the skill and knowledge required to develop high quality, maintainable
software. %
They may not be aware of best practices in software development. %
They focus on feature additions and neglect documentation and maintenance. %
-% BJT: what are the consequences of end-users
-
\textbf{Shifting goals.} \cite{SegalJudith2005a, CarverJeffreyC2007a, HannayJoErskine2009a,
PrabhuPrakash2011a}
-Many traditional software development paradigms demand an upfront articulation of goals and
+Traditional software development paradigms typically demand an upfront articulation of goals and
requirements. %
This allows the developers to carefully design their software, even before a single line of code is
written. %
@@ -181,8 +168,8 @@ loop of critical self assessment that science depends upon. % On the positive side, testing can be an easy-to-add development practice with huge rewards. %
Well written tests can be a programmers best friend: helping her to ensure that her code has met
all of the given requirements. %
-Well written tests allow programmers to optimize without worrying about breaking crucial components
-of their software. %
+This allows programmers to optimize without worrying about breaking crucial components of their
+software. %
\textbf{Struggles with optimization.} \cite{PrabhuPrakash2011a}
Sometimes, a scientific application requires performant code. %
@@ -219,7 +206,7 @@ Make your dependencies explicit, in machine readable ways where possible. % \textbf{Do not duplicate.} \cite{WilsonGreg2017a} %
If you do need to write some software, make sure that you do not duplicate code within your own
work. %
-Instead of writing the same 10 lines of code again and again with small tweaks, write a function
+Instead of writing the same few lines of code again and again with small tweaks, write a function
that accepts a set of arguments. %
If you are doing the same operation in many different contexts, consider defining a library to that
operation that can be imported and shared between your different projects. %
@@ -292,7 +279,7 @@ As Nick Barnes says, \emph{``Publish your computer code: it is good enough''}. \cite{BarnesNick2010a} %
\textbf{Write human readable code, and document it well.} \cite{WilsonGreg2017a} %
-Let the computer do the work, but write the program to be read by a human. %
+Let the computer do the work, but write the source code to be read by a human. %
Give classes, functions, attributes and variables meaningful names. %
Don't be afraid to be verbose, most programming environments have tab completion so long names are
not all that hard to type. %
@@ -301,6 +288,8 @@ Try to follow the recommended style for your language, but don't obsess about it \textbf{Avoid premature optimization.} \cite{WilsonGreg2014a, WilsonGreg2017a}
Don't get pulled into the trap of trying to make things perfect the first time. %
Software design is typically a very iterative process, and for good reason. %
+This is particularly true in a scientific context, where goals may evolve during the development
+process. %
Write for correctness first, and if it works, consider optimization. %
If you do need to make your software faster, use profiling tools like cProfile
\cite{PythonProfilers} and SnakeViz \cite{SnakeViz} to empirically determine what operations are
|